A Cooperative Co-Evolutionary Controller for AC Induction Motor

2011 ◽  
Vol 128-129 ◽  
pp. 771-774
Author(s):  
Jian Sun ◽  
Qiang Wang ◽  
Jian Xiu Xiao

Considering the nonlinearity and strong coupling of AC induction motor, a co-evolutionary control method is proposed for it,based on this method, distribution function is introduced to regulate the probabilities of individuals production to promote the speed of evolutionary according to the characteristic of control system . Compared with the traditional genetic algorithm, the searching space has been decreased greatly by the method. Furthermore, tested on AC induction motor, the controller in this paper has the traits of high-speed response and small overshoot so on.

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 122
Author(s):  
Andri Pradipta ◽  
Santi Triwijaya ◽  
Mohamad Ridwan

Induction motors are widely used in industrial processes, vehicles and automation. Three-phase induction motors can be used for traction systems on electric locomotives. In this case, the speed control system is an important thing that must be applied to the propulsion system. This study aimed to test the indirect torque control for a Three-phase induction motor. A proportional integral (PI) controller was applied for speed controller. The indirect torque control system was modeled and simulated using PSIM software. According to the result, the control method showed a good performance. The speed could be maintained even the speed reference was changing or a load was applied. The steady state error of the speed response was just 0.1% with rise time around 0.06 s. The stator current went up to 39.5 A in starting condition. The stator current reached 12 A rms when the load of 10 Nm was applied. Then, the current rose to 15.7 A rms when the load was increased to 40 Nm and the current came down to 12.8 A rms when the load was decreased to 20 Nm.


2011 ◽  
Vol 383-390 ◽  
pp. 79-85
Author(s):  
Dong Yuan ◽  
Xiao Jun Ma ◽  
Wei Wei

Aiming at the problems such as switch impulsion, insurmountability for influence caused by nonlinearity in one tank gun control system which adopts double PID controller to realize the multimode switch control between high speed and low speed movement, the system math model is built up; And then, Model Reference Adaptive Control (MRAC) method based on nonroutine reference model is brought in and the adaptive gun controller is designed. Consequently, the compensation of nonlinearity and multimode control are implemented. Furthermore, the Tracking Differentiator (TD) is affiliated to the front of controller in order to restrain the impulsion caused by mode switch. Finally, the validity of control method in this paper is verified by simulation.


2009 ◽  
Vol 22 (2) ◽  
pp. 183-195
Author(s):  
Ján Vittek ◽  
Vladimir Vavrús ◽  
Jozef Buday ◽  
Jozef Kuchta

The paper presents design and verification of Forced Dynamics Control of an actuator with linear permanent magnet synchronous motor. This control method is a relatively new one and offers an accurate realization of a dynamic speed response, which can be selected for given application by the user. In addition to this, the angle between stator current vector and moving part flux vector is maintained mutually perpendicular as it is under conventional vector control. To achieve prescribed speed response derived control law requires estimation of an external force, which is obtained from the set of observers. The first observer works in pseudo-sliding mode and observes speed of moving part while the second one has filtering effect for elimination of the previous one chattering. The overall control system is verified by simulations and experimentally. Preliminary experiments confirmed that the moving part speed response follows the prescribed one fairly closely.


Author(s):  
Guanjie Hu ◽  
Jianguo Guo ◽  
Jun Zhou

An integrated guidance and control method is investigated for interceptors with impact angle constraint against a high-speed maneuvering target. Firstly, a new control-oriented model with impact angle constraint of the integrated guidance and control system is built in the pitch plane by combining the engagement kinematics and missile dynamics model between the interceptor and target. Secondly, the flight path angle of the target is estimated by extended Kalman filter in order to transform the terminal impact angle constraint into the terminal line-of-sight angle constraint. Thirdly, a nonlinear adaptive sliding mode control law of the integrated guidance and control system is designed in order to directly obtain the rudder deflection command, which eliminates time delay caused by the traditional backstepping control method. Then the Lyapunov stability theory is used to prove the stability of the whole closed-loop integrated guidance and control system. Finally, the simulation results confirm that the integrated guidance and control method proposed in this paper can effectively improve the interception performance of the interceptor to a high-speed maneuvering target.


2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.


2013 ◽  
Vol 380-384 ◽  
pp. 309-312
Author(s):  
Xue Wen Wang ◽  
Zhou Hu Deng ◽  
Xiao Yun ◽  
Long Zhang ◽  
Yuan Zhang

The mathematical vector model of a permanent magnet synchronous motor (PMSM) has first been discussed in this paper, and a servo control system based on Space Vector Pulse Width Modulation (SVPWM) has been designed, in which a enhanced Microprogrammed Control Unit (EMCU) is combined with drive chips and the relevant control software to achieve the precise control of PMSM. In order to control the position, speed and current of the PMSM, six SVPWM signals are generated with the motor vector control method, and the vector control strategy with three closed loops is projected. According to the control principle, the circuits of the hardware modules are designed and built, and the program of the control process is compiled and downloaded the EMCU, and then the human-computer interaction interface of the system is implemented by LabVIEW. The results of the test show that the control system designed can control the rotating speed and the high-speed pendulum operation of PMSM precisely.


2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Singampalli Hema ◽  
Singampalli Hema ◽  
Singampalli Hema ◽  
Singampalli Hema

In the former times, IC engines were used for transportation by most of the vehicles. But due to the depletion of fossil fuels day to day, the world is moving towards the Electric Vehicles (EVs) to overcome this problem. Electric Vehicles have higher efficiency and weight/power ratio. In general, DC motors were used in electric vehicles. The DC motors could not meet the requirements of customer needs because of its low speed range. In the recent studies, an AC Induction motor has several advantages over DC motors because of its robustness, high speed range, and efficiency and weight/power ratio. This paper presents the performance analysis of AC Induction motor when fed with the Single-Phase Inverter. The gate pulses are given by using Sinusoidal Pulse Width Modulation (SPWM) technique. The results are then compared with the performance of DC motor using MATLAB/SIMULINK.


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