COMPUTER AIDED INSTRUCTION SYSTEM WITH AN INVERTED PENDULUM EQUIPMENT

Closed production systems, such as plant factories and vertical farms, have emerged to ensure a sustainable supply of fresh food, to cope with the increasing consumption of natural resource for the growing population. In a plant factory, a microclimate model is one of the direct control components of a whole system. In order to better realize the dynamic regulation for the microclimate model, energy-saving and consumption reduction, it is necessary to optimize the environmental parameters in the plant factory, and thereby to determine the influencing factors of atmosphere control systems. Therefore, this study aims to identify accurate microclimate models, and further to predict temperature change based on the experimental data, using the classification and regression trees (CART) algorithm. A random forest theory was used to represent the temperature control system. A mechanism model of the temperature control system was proposed to improve the performance of the plant factories. In terms of energy efficiency, the main influencing factors on temperature change in the plant factories were obtained, including the temperature and air volume flow of the temperature control device, as well as the internal relative humidity. The generalization error of the prediction model can reach 0.0907. The results demonstrated that the proposed model can present the quantitative relationship and prediction function. This study can provide a reference for the design of high-precision environmental control systems in plant factories. Keywords: plant factory, temperature control system, mechanism simulation, random forest, cart model, generalization error DOI: 10.25165/j.ijabe.20211403.6114 Citation: Zhang M Q, Zhang W, Chen X Y, Wang F, Wang H, Zhang J S, et al. Modeling and simulation of temperature control system in plant factory using energy balance. Int J Agric & Biol Eng, 2021; 14(3): 66–75.

Integrative modeling and simulation analysis of 11kW squirrel-cage asynchronous motor and vector control system have been done in the paper. Integrative model deals with the coupling effect between the motor and its control system, and analyzes system dynamic response. At the same time, the motor transient electromagnetic field performance has been acquired in the integrative simulation with slip frequency vector control strategy. Furthermore, the simulation results of integrative model are compared with that of non-integrative model, including control system circuit model and motor physical model without precise control strategy. The integrative model considers not only the motor external control strategy but also motor internal electromagnetic field performance and response with the control strategy. In addition, integrative modeling and simulation realizes coupling simulation analysis of squirrel-cage asynchronous motor and control system in system perspective and component perspective as well, which could effectively help us do the precise analysis of system performance.

This paper focuses on the research and analysis of a typical large inertia electro-hydraulic position control system using single-rod cylinder. Firstly, the mathematical models of the main components such as the electro-hydraulic servovalve and cylinder are described. Then the model of the whole control system is established based on that. The control method of the system is the conventional PI algorithm. In order to find out the proper PI parameters, the computer simulations are performed. Finally, experiments are carried out to validate the proposed method. The experimental results show that the proposed model and control method are effective.

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.

While linear covariance analysis is widely used for navigation system design and analysis, it is often overlooked as a tool for closed-loop guidance navigation and control (GN&C) system design and analysis. This article presents an overview of the techniques and methods required to develop a linear covariance analysis tool for a close-loop GN&C system. Then, using a simple nonlinear closed-loop GN&C problem as a guide, the capabilities of linear covariance analysis for the design and analysis of closed-loop systems are demonstrated. It is shown that linear covariance can be accurately applied to a closed-loop system with time-to-go guidance, dead-reckoning navigation, and a Kalman filter for state estimation. The accuracy and efficiency of linear covariance analysis is shown by direct comparison to Monte Carlo analysis results, and the value of linear covariance analysis is highlighted by presenting several analysis capabilities that are often required in the design and analysis of closed-loop GN&C systems. It is also shown how the efficiency of linear covariance enables new design methodologies, one of which is presented in this article, that would otherwise be prohibitive with Monte Carlo analysis.

Modeling of PID control system in DC–DC boost converter with variable input DC voltage at varying irradiation levels in the solar PV system has been implemented in this paper. The proposed model of PID controlled DC–DC boost converter prevents overshoot and oscillations of the output voltage obtained from it and tracks maximum power. Design and simulation of a PID control system is to soothe the output voltage of the DC–DC boost converter. The implementation results using constant irradiation and variable irradiation level with constant temperature are presented. Result and analysis supports the validity and advantages of the PID method.

Controlling the damage process, avoiding the global collapse, and increasing the seismic safety of the super high-rise building structures are of great significance to the casualties’ reduction and seismic losses mitigation. In this paper, a semiactive control platform based on magnetorheological (MR) dampers comprising the Bouc-Wen model, the semi-active control law, and the shear wall damage criteria and steel damage material model is developed in LS-DYNA program, based on the data transferring between the main program and the control platform; it can realize the purpose of integrated modeling, analysis, and design of the nonlinear semi-active control system. The nonlinear seismic control effectiveness is verified by the numerical example of a 15-story steel-concrete hybrid structure; the results indicate that the control platform and the numerical method are stable and fast, the relative displacement, shear force, and damage of the steel-concrete structure are largely reduced using the optimal designed MR dampers, and the deformations and shear forces of the concrete tube and frame are better consorted by the control devices.

This paper presents the digital PI control method for design and simulation of a high precision limited angle brushless torque motor control system in Field Programmable Gate Array device (FPGA). The direct drive structures which are widely applied in many servo control fields. Matlab Xilinx System Generator® toolbox based on Fixed-Point Arithmetic is used to design the digital PI controller using DSP architecture, plot the responses of the control system and generate the VHDL source code. The control system model consists of a digital PI, a real LABTM, and a real absolute Inductosyn, encoder to rpm and position blocks. Through loading generated codes in process of the simulation that built by the digital discrete model, it is verified that the rising time of current loop is only 1.2ms, and rate loop is 8ms, overshoot is rarely 4.2%. Finally, the comprehensive positioning accuracy of system can reach up to ±5 arc sec, and the rate jitter achieves 5% with the ±4 arc sec accuracy absolute Inductosyn.

PurposeThe purpose of this study is to propose a new dynamic model of a production-inventory control system. The objective of the new model is to maximise the flexibility of the system so that it can be used by decision makers to design inventory systems that adopt various strategies that provide a balance between reducing the bullwhip effect and improving the responsiveness of inventory performance.Design/methodology/approachThe proposed production-inventory control system is modelled and analysed via control theory and simulations. The production-inventory feedback control system is modelled through continuous time differential equations. The simulation experiments design is conducted by using the state-space model of the system. The Automatic Pipeline Inventory and Order-Based Production Control System (APIOBPCS) model is used as a benchmark production-inventory control system.FindingsThe results showed that the Two Automatic Pipelines, Inventory and Order-Based Production Control System (2APIOBPCS) model outperforms APIOBPCS in terms of reducing the bullwhip effect. However, the 2APIOBPCS model has a negative impact on Customer Service Level. Therefore, with careful parameter setting, it is possible to design control decisions to be suitably responsive while generating smooth order patterns and obtain the best trade-off of the two objectives.Research limitations/implicationsThis research is limited to the dynamics of single-echelon production-inventory control systems with zero desired inventory level.Originality/valueThis present model is an extension and improvement to Towill’s (1982) and John et al.’s (1994) work, since it presents a new dynamic model of a production-inventory control system which utilises an additional flow of information to improve the efficiency of order rate decisions.

The present work exposes the analysis and design of the Equipment Loan Control System (SCPE). We developed a system in its analysis and design phases of control of equipment inputs and outputs (loans), reducing time and showing reports to be able to make decisions about a subsequent acquisition of equipment or different administration. The functionality of the system is based on the procedure P-EDU-05 http://sgi.utvtol.org.mx/ mainly on the points: 8.2 (update of the equipment inventory) 8.4 (Delivery of laboratory hours) 8.5 (Verification of the laboratory schedule) 8.7 Registration of PTC/PA (Full Time Professor/Subject Professor) in a later version using a fingerprint reader. In this delivery, procedures, processes and calculations will be analyzed; as well as define interfaces. In point 8.7, it will register compliance of the service at the end of the practice. It will also include a processing, calculating the compliance rates according to the procedure. The laboratory/equipment registration interface will reflect what is required in the R-EDU-20-General requirements for laboratory/workshop practices. Finally, the RAD (Rapid Application Development) methodology will be used to develop the system due to the use of fourth generation techniques to reuse existing programs.

Modeling and simulation of feedwater control system with multiple once-through steam generators in a sodium-cooled fast reactor (II): Control system simulation

Digital control of a continuoiis-time system implies discretization in time of the system. The discretization is likely to bring about changes in the dynamic characteristics of the continuous-time system. Two approaches to the design of a digital control system can be considered: 1) discretization of a previously designed continuoustime control system and 2) direct design in the discrete-time domain. The difference between these two approaches and their effects on a closed-loop control system employing a Luenberger-type observer is demonstrated. The first approach consists of simulating a continuous-tim e control system on a digital computer. Because the possibility exists that a given set of parameters of the continuous-time system, such as gains and observer poles, will produce a change in the dynamic characteristics of the system during digital simulation, the question is how large the sampling time can be without affecting adversely the discrete simulation. An example of an unstable digital simulation of a closed-loop control system employing a deterministic observer that is stable in continuous-ti me is presented. The second approach inherently guards against changes in the dynamic characteristics that may be caused by discretization. The two approaches are compared by using a second-order dynamic system.

This paper examines the mechanism of disturbance rejection in control systems employing a technique called equivalent-input-disturbance estimation. Analysis of the mechanism shows that the filter in the control system strongly affects the disturbance rejection performance. A new method of designing such control systems that employs Hinfin control theory and linear matrix inequalities is presented; and simulations of a magnetic levitation system demonstrate its validity

Aircraft Control System Design and Analysis Program Package

Hot strips are presently being rolled out with considerable thickness accuracy. This has been made possible due to superordinated control system comprising of adaptive setup model, monitor thickness control, automatic gauge control, tension and looper control, hydraulic gap control etc. The present work is, however, confined to modeling and simulation studies of hydraulic gap control system in the last stand of the finishig mill of a typical hot strip mill (HSM). The simulation results based on the model show that the system operates effectively to provide high thickness accuracy and good response behavior.