Integrative modeling and simulation analysis of asynchronous motor and control system

Better to meet the high performance AC speed adjustable speed control strategies and advanced control algorithms in the application of asynchronous motor, Introduced the hardware and software design of asynchronous motor control system development platform based on TMS320F2812. Discussed the vector control system for three-phase Asynchronous motor which use this platform as the control core, described the vector control principle and system structure, then simulate using SIMULINK, give the simulation results and analyse them to verify the feasibility of the design.

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.

To obtain real-time rotor information of the brushless DC motor, improve the low-speed performance and anti-interference ability of the motor, a sensorless vector control system model of the brushless DC motor was established. A motor control system based on the EKF algorithm was designed. By combining the EKF observer with the brushless DC motor, a simulation model of the EKF motor control system was built based on Simulink. The simulation results show that the motor control system with the EKF observer operates well. The motor’s low-speed operation performance and rotor position detection are very fast, and the motor’s anti-interference ability is significantly enhanced, effectively improving the dynamic performance of the control system [1].

Purpose The paper presents the results of work on control systems of bearingless electric motors. Authors proposed the applications of bearingless electric machines for aircraft actuation system. Suggested solution characterizes novel concept of on-board equipment design such as More Electric Aircraft. Magnetic suspension technology allows elimination of friction force and the negative performance features of classic bearing system. However, to achieve all these purposes appropriately, dedicated control system must be also applied. Design/methodology/approach The development of a control system of bearingless electric machine is presented in detail. Mathematical model and construction of induction bearingless motor are widely discussed. Then, proportional–integral-derivative controller algorithm designing for BEM control system was presented using the well pole placement method. Simulation model of BEM control system with use of Matlab-Simulink software was shown. Finally, experimental studies on laboratory stand were introduced. The paper presents design methodology of conventional and advanced control system of bearingless motor. Findings The presented concept of the bearingless electric machines could be applied in the on-board actuation system. During research, full control system of bearingless electric motor was designed and tested. This system consisted of two subsystems. The first responded for rotary speed stabilization and second one was designed for position control of the rotor in the air gap. Practical implications The presented concept of the bearingless electric machines could be applied in the on-board actuation system. During research, full control system of bearingless electric motor was designed and tested. This system consisted of two subsystems. The first responded for rotary speed stabilization and second one was designed for position control of the rotor in the air gap. Originality/value The idea of active magnetic suspension system will be implemented for aviation on technology readiness level V. The paper presents unique laboratory stand with bearingless electric motor and experimental studies. The stable time responses of designed control system were presented and discussed. In addition, preliminary considerations of advanced control system with robust controller were introduced as well.

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.

COMPUTER AIDED INSTRUCTION SYSTEM WITH AN INVERTED PENDULUM EQUIPMENT

In today's world, where technology is developing rapidly, electric drive systems play a key role in a huge range of applications: from industrial production lines to vehicles and household appliances. These systems require high efficiency, accuracy and reliability. It is here that there is a need to improve and optimize the processes of controlling electric drives.In recent decades, neural network controllers, or neuroregulators, have won their place in the world of automatic control. Their unique ability to model complex nonlinear dependencies makes them an ideal tool for applications in electric drive systems. Neuro-regulators can adapt to changing operating conditions, learn from data and optimize the control process depending on specific requirements and conditions.This work is devoted to the possibility of using a neuroregulator in the traction asynchronous electric drive system. In the Matlab/Simulink environment, a simulation model of the AD914-U traction asynchronous electric motor vector control system described in the d,q rotating coordinate system was developed. The synthesis of the NARMA-L2 neuroregulator was performed, which combines the principles of the autoregressive model and the moving average model to provide prediction and control of complex processes. The main idea of this controller is to build a nonlinear transformation of input data that can predict the future states of the system. To demonstrate the capabilities of neuroregulators in traction electric motor control systems, comparative modeling of the NARMA-L2 neuroregulator and the classical proportional-integral regulator was conducted.The results of simulation modeling show that the system with a neuro-regulator shows the best indicators of regulation of the given parameters in transient processes and is a promising tool in the development of high-performance and energy-efficient traction electric drives.

The primary aim of the military tank is to hit on the target efficiently in moving condition on off-track. The battle tank is an assembly of suspension system; mobility drives of fire gun such as elevation drive, azimuth drive; ballistic system and firing system etc. These aforesaid assemble systems are mainly responsible for disturbance in stability of main gun. The track used for battle tank also plays the major role in vibrations. Hence, the stability of gun is only possible when vibrations caused by mobility drives get reduced on dynamic tank gun. Mathematical model of weapon control system is modelled in SIMULINK, all kinds of weapon drives are coupled, using a collective framework of cantilever beam to develop the gun model. The passive dynamic responses of main gun can be observed by these mathematical models. The responses of SIMULINK are validated by a model developed in ADAMS.

Stochastic control of pitch motion of satellites using stabilizing flaps

Hydro-viscous clutch has become an inevitable choice for special vehicle transmissions. As a nonlinear dynamic system with large lagging link, its timing performance is affected by input rotational speed, lubricating oil temperature and pressure and other factors. However, from the control perspective, the speed regulation law, formation mechanism control characteristics, global model of hydro-viscous speed control system (HSCS) are unclear. To solve these problems, this paper presents a comprehensive analysis of the Hydro-viscous Speed Control System (HSCS), focusing on its steady-state and dynamic speed control characteristics. A data-driven model is established to describe the relationship between input rotational speed, output speed, control oil pressure, and lubricating oil temperature. The findings provide a foundation for optimizing HSCS structure and parameters, enhancing the performance and reliability of such systems in special vehicle transmissions and establishing a temperature-speed control system for special vehicle transmissions.

Based upon the Piece-wise Affine (PWA) model of closed-loop Model Predictive Control (MPC) system and Lyapunov functions, stability analysis of the closed loop MPC system is studied. By trying to find piece-wise quadratic Lyapunov function over the state’s regions, which is cast as an LMI problem, the stability of closed-loop MPC system is analyzed. With further convex partition of the state’s regions, and thus increasing the possibility to find the piece-wise quadratic Lyapunov functions, the conservatism of the stability analysis is reduced. At the end of the paper, simulations for a vibration control of elevator’s mechanical system are made.

In this paper we present an approximate model for load frequency control system with time delay. The load frequency control is one of the conventional power system control problems. In order to secure the stability of the grid the frequency must remain within its limited range which is achieved through the load frequency control. The load frequency control signals experience time delay that could destabilize the power systems. The presence of the time delay complicates the analysis of the load frequency control system. In this paper we present a stability method based on the Direct Frequency Response approximation for the time delay. This approximation transforms the transcendental time delay equation into linear equation. This results in a simple stability criterion for the loadfrequency control system with time delay. A one-area load frequency control system is chosen as a case study. The effectiveness of the proposed approximation has been tested through simulation and comparison with the published research work. By tracking the eigenvalues or using Routh's criterion the maximum delay margin can be estimated. The proposed stability criterion has been compared with the most recent methods and showed it is merit. The range of the PI controller parameters for a given time delay can be determined which is very important in practice.

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.

Midcourse Space Experiment attitude system performance for gyro disabled operations

Asynchronous motor speed control system based on Buck-Boost matrix converter ( BBMC ) has good speed regulation performance. Because the inverter stage of BBMC is a variable structure and nonlinear system, BBMC will produce bifurcation and chaos with the change of parameters, resulting in an unstable state of the system. The main factors affecting the stability of BBMC are the main circuit and control parameters. The control parameters can be continuously optimized in the later stage, and the main circuit parameters cannot be changed once they are determined. This paper studies the stability region of main circuit parameters, and the discrete iterative mapping model of the asynchronous motor speed control system based on BBMC is established. According to the sampling distribution of BBMC output voltage, the influence of main circuit parameters inductance L and capacitance C on the stability of the speed control system is analyzed. The stability region of the main circuit parameters is determined by numerical fitting. Finally, simulation and experiment verify the above analysis’s correctness. The stability region of main circuit parameters can provide the basis for selecting main circuit parameters in practical engineering.