Design and Implementation of a Resolver Acquisition System for Motor Control

At the University of Nevada, Reno, we strongly believe that effective control system education must include experimental exercises that complement the theory presented in lectures. Preferably, the exercises should include the design and implementation of a control system. Limited resources and a cap on the number of credit hours required for the undergraduate degree make it impossible to offer a laboratory course with every control class in most electrical engineering curricula. We have solved this problem by including a laboratory project in each of our two senior electives. Each project is a comprehensive modeling, analysis, design and implementation of a physical control system. The students are divided into groups and each group must independently complete the design project and submit a formal report summarizing their results and experiences. Each student must submit an individual commentary on the exercise and the experimental results obtained. Student feedback indicates an increased appreciation of the lecture material and an awareness of the limitations of the theory and simulation that was lacking prior to the introduction of laboratory exercises.

The main challenges related to water affect human settlements' sustainability: the lack of access to safe and clean water at all times. These problems have massive consequences on human health, safety, economic growth, and development. Rujban city faces this crisis despite more than five decades trying to resolve this problem. In this paper, we describe the existing water supply system, which consists of three main components: Karthoom Automated Control System (KACS), Idref Automated Control System 1 (IACS1), and Idref Automated Control System 2 (IACS2). We propose the control system design of the KACS to meet the city's demand and keep the collecting tank with an acceptable level of water continuously. This paper presents the Karthoom Automatic Control System (KACS) design to control the water supply system using the Programmable Logic Controller (PLC). PLC controller is a central part of the proposed automatic control system due to its reliability and ease of installing and maintenance. Besides, we use PLC to carry out the water level control, sequencing, monitoring, display, and control functions, such as logic, sequence, timing, counting, and arithmetic logic. To maintain an appropriate water level in the collecting tank, we control the operation of the feeding submersible pumps ("on" or "off") by sensing the collecting tank's water levels. This is accomplished by utilizing four-stage-level sensors, seven water flow sensors, and an RF transmitter/receiver to monitor and control all pumps' operations and protect them from dry running and then accomplish the sensing stage. We introduce the control system components, the operation flow chart, and the proposed system's implementation. Finally, we implemented and conducted a simulation experiment using the Siemens S7-200 PLC to control the overall water supply system and evaluate the proposed control approach's performance.

The content of this article is design and implementation of an alternative Rotax 915is engine management system. In my research, I worked with a wide-spectrum control unit ECU MASTER designed for the optimization of the injection time of spark-ignition engines and also the control of the ignition advance taking into account several sensors of engine input parameters. The article was created as part of research into the issue of optimal control of piston engines. Current methods of controlling engines and their systems, in principle, allow very precise control of important systems of modern piston engines, especially with regard to the ignition and fuel system. The inclusion of microprocessor units with multiple options for input parameters allow the control unit to take into account even less important parameters, which, however, help the control unit to keep the engine running smoothly while maintaining high combustion efficiency. The elaborated design of a possible alternative engine control system is subsequently connected with the practical realization of this control system. The result of the research is the design of the control system of the Rotax 915is engine and the subsequent practical production and adjustment of the control unit under the name ECU MASTER, which verifies the universal applicability of such a unit for various combustion engines.

BACKGROUND:Chemotherapy is a complex, multi-disciplinary, and error-prone process. Information technology is being increasingly used in different health care settings with complex work procedures such as cancer care to enhance the quality and safety of care. In this study, we aimed to develop a computerized physician order entry (CPOE) for chemotherapy prescribing in patients with gastric cancer and to evaluate the impact of CPOE on medication errors and order problems.MATERIALS AND METHODS:A multi-disciplinary team consisting of a chemotherapy council group and system design and implementation team was formed for chemotherapy process evaluation, requirement analysis, developing computer-based protocols, and implementation of CPOE. A before and after study was conducted to evaluate the impact of CPOE on the chemotherapy process and medication errors and problem orders. To evaluate the level of end-user satisfaction, an ISO Norm 9241/110 usability questionnaire was chosen for the evaluation.RESULTS:Before the implementation of the CPOE system, 37 medication errors (46.25%) and 53 problem orders (66.25%) were recorded for 80 paper-based chemotherapy prescriptions. After implementation of the CPOE system, 7 (8.7%) medication errors and 6 (7.5%) problem orders were recorded for 80 CPOE prescriptions. The implementation of CPOE reduced the medication error by 37.55% and the problematic order by 58.75%. The results for usability evaluation indicate that the CPOE was within the first class of the ISONORM level rating; this shows that a CPOE is with very high satisfaction and a very high functionality rate.CONCLUSION:Developing a CPOE system significantly improved safety and quality of the chemotherapy process in cancer care settings by reducing the medication error, deleting unnecessary steps, improving communication and coordination between providers, and use of updated evidence-based medicine in direct chemotherapy orders. However, the CPOE system does not prevent all medication errors and may cause new errors. These errors can be human-related factors or associated with the design and implementation of the systems.

This paper describes the design and implementation of a control system that integrates visual and haptic information to give assistive force feedback through a haptic controller (Omni Phantom) to the user. A sensor-based assistive function and velocity scaling program provides force feedback that helps the user complete trajectory following exercises for rehabilitation purposes. This system also incorporates a PUMA robot for teleoperation, which implements a camera and a laser range finder, controlled in real time by a PC, were implemented into the system to help the user to define the intended path to the selected target. The real-time force feedback from the remote robot to the haptic controller is made possible by using effective multithreading programming strategies in the control system design and by novel sensor integration. The sensor-based assistant function concept applied to teleoperation as well as shared control enhances the motion range and manipulation capabilities of the users executing rehabilitation exercises such as trajectory following along a sensor-based defined path. The system is modularly designed to allow for integration of different master devices and sensors. Furthermore, because this real-time system is versatile the haptic component can be used separately from the telerobotic component; in other words, one can use the haptic device for rehabilitation purposes for cases in which assistance is needed to perform tasks (e.g., stroke rehab) and also for teleoperation with force feedback and sensor assistance in either supervisory or automatic modes.

This paper describes the design and implementation of an OMAP3530-based networked control system which has real-time image processing capability. It integrates an ARM core and a DSP core in the controller. The ARM core with Linux operating system is responsible for applying functional services and the DSP core is responsible for executing image processing algorithms. The due-core structure makes the novel controller available for advanced control and image processing so that the designed control system expands the application of the existed networked controllers to machine vision. Finally, a reliable application for vision-based mobile robot localization demonstrates the effectiveness of the designed system.

Relevance As part of the study, a control system for driving the supply of a CNC lathe based on fuzzy logic was developed using the MATLAB software package. The development is carried out on the basis of experimentally defined (both theoretically and empirically) shared functions of belonging (including Gauss functions and sigmoidal functions built on a single basis). This avoids the appearance of stagnant zones where the regulator does not respond to changes in the incoming parameters of the control object. The results obtained showed the development efficiency, which is expressed by the economical use of the synchronous motor life. Economy is achieved due to surface roughness sensor provided in control system. As a result of the design of the control system, it is possible to adjust the speed of rotation of the motor, and the quality of the machined surface of the part. It is worth noting that the regulation is based on the empirical dependence of the roughness of the processed surface of the part on the radius at the tip of the cutter and the supply. Coherence and sequence of functioning of system components allowing for control of fuzzy values of electric motor parameters is ensured by developed transfer function of ball-screw pair. To share the two components of the system, the transfer function is mathematically derived, the correctness of its calculations is confirmed graphically. For the operation of the CNC lathe motor control system based on fuzzy logic, a fuzzy rule unit has been developed. The unit functionality provides for stabilization of the motor rotation speed in case of three main situations: with an increase in the indicator from the norm, with its mismatch to the lower side and with full compliance. Its operation is arranged in such a way that due to the previously specified conditions it is possible to detect inconsistencies of fuzzy values of the set of parameters. In general, it is worth noting that the effectiveness of the resulting development was confirmed experimentally, the results of the experiment make it possible to assert that the electric motor control system functions properly and is effective at all stages of the electric drive operation. Aim of research Develop a fuzzy logic control system model to drive the longitudinal feed of the CNC lathe. To form a rule block of a fuzzy control system that facilitates its operation on the entire surface of a fuzzy set without stagnant zones. Research methods As part of the study, a model of a fuzzy control system was developed using the MATLAB package, the results showed that the development functions on the entire surface of a fuzzy set, without stagnant zones. Fuzzy regulator rule block is formed. This facilitates the operation of the control system on the entire response surface, that is, the ability to control the synchronous motor performance at all stages of the part processing process. Results As part of the study, a fuzzy logic control system was developed to drive the longitudinal supply of the CNC lathe. The system is based on shared membership functions built on a single basis. A number of mathematically formulated transfer functions have been developed, which provide correction of the rotation speed of the synchronous motor, consistent transmission of the obtained data to subsequent control system units for further control of the rotation speed of the cutting tool. To ensure the operation of the control system, a fuzzy rule unit has been developed, which consists of three control directions, the operation of which is automatically determined by the control system based on data on non-conformity of parameters obtained from a specially provided surface roughness sensor of the machined part.

With the worsening of the global environment and the strengthening of people's awareness of environmental protection, the air pollution caused by the exhaust emissions of marine diesel engines has attracted extensive attention from the international community. Because the exhaust post-treatment technology does not need to be reformed for diesel engine, and the quality requirement of fuel is relatively low, domestic and foreign research and development institutions all attach great importance to the research of exhaust post-treatment technology. By analyzing the mechanism and main chemical reaction of SCR reaction, the overall design scheme of marine diesel engine exhaust intelligent emission reduction control system was completed in order to reduce the nitrogen oxides and solid particles in the exhaust of marine diesel engine. According to TierIII emission regulation and marine diesel engine exhaust, the hardware structure design and model selection of marine diesel engine exhaust intelligent emission control system are completed. In order to ensure that the emission of the control system can meet the requirements of nitrogen oxide conversion rate and ammonia gas escape quantity at the same time, the corresponding model prediction algorithm is designed in this paper. Through the analysis of experimental results, it is proved that the control system established in this paper can well meet the emission requirements of TierIII regulations. The research content of this paper can be applied in the field of shipping to meet the requirements of TierIII regulations and prepare for more stringent emission regulations.

The universities educational management System is a typical information management system, including the establishment and maintenance of backstage database and the development of frontstage application program. For the former, it requires a database of data consistency and integrity to build strong, full and good, and for the latter procedure, it requires full-functioned and easy to use and so on. This paper mainly introduces the design and implementation of students educational management system. After research and analysis, the system uses the C # and SQL Server 2000 to develop, with a three-tier,including the system development environment and technical support, the design of system, the implementation of systerm and concluded. The main function is for all students, providing them with a teaching management platform to facilitate the management of personal information and cooperate a variety of the teaching mission of schools.

Computational concepts and techniques have always played a major role in control engineering since the first computer-based control systems were put into operation over twenty years ago. This role has in fact been accelerating over the intervening years as the sophistication of the computing methods and tools available, as well as the complexity of the control problems they have been used to solve, have also increased. In particular, the introduction of the microprocessor and its use as a low-cost computing element in a distributed computer control system has had a profound effect on the way in which the design and implementation of a control system is carried out and, to some extent, on the theory which underlies the basic design strategies. The development of interactive computing has encouraged a substantial growth in the use of computer aided design methods and robust and efficient numerical algorithms have been produced to support these methods. Major advances have also taken place in the languages used for control system implementation, notably the recent introduction of Ada', a language whose design is based on some very fundamental computer science concepts derived and developed over the past decade. With the extremely high rate of change in the field of computer science, the more recent developments have outpaced their incorporation into new control system design and implementation techniques.

The liquid level control system of MSR (moisture separator reheater) drain tank is the key part of nuclear conventional island instrument and control equipment for normal operation of a nuclear power plant plays a very important role in regulating. This design was design and implementation of liquid level control system based on the distributed control system (DCS). Designed had changed the MSR drain tank in nuclear power plant control methods in the past, selection of mature, reliable and advanced DCS control system to meet their requirements for liquid level control. Normal drain water regulating valve, emergency drain valves achieve independent control and operating functions (manual/auto). Increase the soothing water pressure, temperature, and adjust the valve feedback signal. Provide equipment complete process parameters and self diagnosis function. Improved control system availability, reduced defect rates of control equipment, control equipment transformed to achieve "zero defect", meet the needs of long-term safe operation of the power station <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">.</sup>

Model-based development (MBD), which utilizes system models to design complex products, has received increasing attention. However, an advanced control system design scheme is required to accurately control the developed products under harsh conditions for practical usage. This paper proposes a control system that integrates a data-driven compensator (DDC) with a model-based control (MBC) system design. The proposed method considers a hierarchical control structure comprising an upstream control system based on the MBC design approach and a downstream control system that includes a plant control loop with a DDC. The proposed system can always maintain the desired performance by driving the MBC based on an ideal model because the downstream control system, DDC, maintains the characteristics of the ideal model even if the plant properties change owing to changes in operational and/or environmental conditions. In this study, the design scheme for unifying models and data in the MBD process is called smart MBD (S-MBD), and the proposed control system design scheme is based on the S-MBD approach. The effectiveness of the proposed hierarchical control system is verified by applying it to a hydraulic excavator.

We review practical case studies of a developing method of highly reliable real-time embedded control systems using a CPU model-based hardware/software co-simulation. We take an approach that enables us to fully simulate a virtual mechanical control system including a mechatronics plant, microcontroller hardware, and object code level software. This full virtual system approach simulates control system behavior, especially that of the microcontroller hardware and software. It enables design space exploration of microarchitecture, control design validation, robustness evaluation of the system, software optimization before components design. It also avoids potential problems. The advantage of this work is that it comprises all the components in a typical control system, enabling the designers to analyze effects from different domains, for example mechanical analysis of behavior due to differences in controller microarchitecture. To further improve system design, evaluation and analysis, we implemented an integrated behavior analyzer in the development environment. This analyzer can graphically display the processor behavior during the simulation without affecting simulation results such as task level CPU load, interrupt statistics, and the software variable transition chart. It also provides useful information on the system behavior. This virtual system analysis does not require software modification, does not change the control timing, and does not require any processing power from the target microcontroller. Therefore this method is suitable for real-time embedded control system design, in particular automotive control system design that requires a high level of reliability, robustness, quality, and safety. In this study, a Renesas SH-2A microcontroller model was developed on a CoMET™platform from VaST Systems Technology. An electronic throttle control (ETC) system and an engine control system were chosen to prove this concept. The electronic throttle body (ETB) model on the Saber® simulator from Synopsys® and the engine model on MATLAB®/Simulink®simulator from MathWorks can be simulated with the SH-2A model using a newly developed co-simulation interface between MATLAB®/Simulink® and CoMET™. Though the SH-2A chip was being developed as the project was being executed, we were able to complete the OSEK OS development, control software design, and verification of the entire system using the virtual environment. After releasing a working sample chip in a later stage of the project, we found that such software could run on both actual ETC system and engine control system without critical problem. This demonstrates that our models and simulation environment are sufficiently credible and trustworthy.

Developing national standards for fuzzy logic-based control systems in energy-efficient HVAC operations is crucial for enhancing building performance and reducing energy consumption. Fuzzy logic, as an advanced computational technique, enables the development of intelligent control systems that can handle the inherent uncertainties and nonlinearities associated with HVAC operations. By integrating fuzzy logic into HVAC control systems, energy efficiency can be significantly improved through more precise regulation of heating, ventilation, and air conditioning processes. This paper explores the development of national standards for the implementation of fuzzy logic-based control systems in HVAC operations, addressing key aspects such as system design, performance metrics, and compliance requirements. The proposed standards aim to establish a unified framework that ensures the reliability, safety, and interoperability of fuzzy logic-based HVAC systems across various building types and climatic conditions. The standards will also provide guidelines for the calibration, testing, and validation of these systems, ensuring that they meet the desired energy efficiency targets while maintaining occupant comfort. Additionally, the paper discusses the potential challenges and considerations in developing these standards, such as the need for industry-wide collaboration, the integration of existing standards, and the adaptation to rapidly evolving technological advancements. Through the establishment of national standards, this research contributes to the broader goal of promoting energy-efficient building operations and supporting the transition to sustainable energy practices. The findings underscore the importance of developing a standardized approach to fuzzy logic-based control systems, which will facilitate their widespread adoption and ensure consistent performance across different applications. The paper concludes with recommendations for future research and development initiatives to further refine and expand the scope of these standards, ultimately contributing to more sustainable and energy-efficient HVAC operations. Keywords: Fuzzy Logic, Hvac Control Systems, Energy Efficiency, National Standards, Building Performance, Sustainable Energy, Intelligent Control Systems.

The controlled atmospheric re-entry associated with the precision soft-landing of Reusable Launch Vehicles (RLVs) on Earth is very challenging as it depends on multiple parameters [1]. Over the last decade, the cost-effectiveness of such a technology has been finally demonstrated with the successful recoveries of SpaceX’s Falcon 9 first-stage rocket first [2], then followed by other companies such as the Rocket Lab’s Electron micro-launcher [3]. This breakthrough has been made possible by the development of advanced and robust computational methods able to generate in real time the flight conditions and to command the optimal vehicle's deflections accordingly to achieve a safe pinpoint landing. Indeed, during an Earth atmospheric re-entry, the vehicle is subjected to fast system dynamics changes partly induced by external loads associated with the terrestrial environment (e.g., lift, drag, wind and gusts), but also by the actuation commands to answer the landing constraints satisfaction and the vehicle integrity preservation. All those involve uncertainties and nonlinearities, which lead to vehicle’s instability and therefore give reason why for a highly performant Guidance, Navigation and Control system implementation [4]. More particularly, one of the critical aspects is the design of a robust control strategy capable of counteracting the previously defined disturbances and uncertainties while satisfying the strict accuracy requirements associated with the pinpoint landing [5]. As demonstrated by the current state-of-the-art on control design for launchers [6-7], the classical linear control theory represents a rich heritage with a lot of applications. This choice was motivated by its relative easiness of implementation and the possibility to use gain-scheduling techniques to adapt to nonlinear systems. Nevertheless, these techniques are well-adapted to the control system design of single-input single-output systems, such as for example a reusable rocket using a Thrust Vector Control (TVC) system as the unique actuator. The implementation of multiple-input multiple-output control systems becomes then complex since every channel is addressed in a single-loop fashion. This capability is however required for the future generation of reusable rocket, using also aerodynamic steering based on fins in addition to the TVC system for enhancing control authorities. Moreover, model uncertainties are not accurately considered in the design process, developed only with nominal conditions and stability margin requirements. For all these reasons, it results in an extensive (both in terms of time and cost) Verification and Validation campaign with many iterations and Monte-Carlo analyses to assess the performance and robustness of the control system. To overcome these drawbacks, the H-infinity family of methods, introduced a few years ago [8], provides with a powerful solution for robust control design. It relies on defining the control requirements in the frequency domain in terms of weighting functions and minimising the maximum gain of the resulting weighted system from the exogenous inputs to the outputs to be controlled. Moreover, the control-plant interaction is modelled through a Linear Fractional Transformation (LFT) representing the feedback action. Finally, the structured H-infinity method [9] allows to directly impose a specific control structure – like a Proportional-Integral-Derivative (PID), enabling the re-use of gain-scheduling techniques – and to consider parametric uncertainties for enhanced robustness. This paper studies the synthesis of a robust control system via structured H-infinity for the RLV atmospheric re-entry problem. First, the nonlinear 6-Degree-of-Freedom (6-DoF) RLV re-entry dynamics are simplified into a linear model and then linearised along a reference trajectory to get the nominal LFT of the system, then augmented with parametric uncertainties. The model covers the atmospheric re-entry and vertical landing of a first-stage rocket equipped with a TVC system and steerable planar fins. The controllers are built at different points of the re-entry trajectory, using the structured H-infinity framework through PID-like structures. Weighting functions considering the control objectives and requirements of a realistic RLV re-entry scenario are implemented. A robust stability analysis of the obtained system is performed via classical stability margins and structured singular value. Finally, the controllers are gain-scheduled and validated via Monte-Carlo analyses, using a nonlinear 6-DoF RLV re-entry dynamics simulator equipped with successive convex optimisation guidance. The performance of the resulting guidance and control architecture is compared with the baseline developed in previous works [10], using a TVC system only and classical linear feedback control through gain-scheduled PID controllers. This study lies within the ASCenSIon (Advancing Space Access Capabilities - Reusability and Multiple Satellite Injection) project, an innovative training network funded within H2020.