Fuzzy Approximation Control Of Asynchronous Motor Based On Dynamic Surface And Observer Technology

With the continuous development of power electronics technology and computer science, and the improvement of the modern control theory, it greatly promoted the application of the AC drive system in electric drive system. As the most common used AC motor, induction motor has got widely attention and favor of scholars and experts. In order to obtain a high-performance of the motor control, various experts and scholars have got a lot of mature control methods about induction motor system by their efforts, and the vector control is a traditional control method for the induction motor. However, the traditional vector control method is difficult to implement the system in different conditions operating requirements due to the complex nonlinear characteristics of induction motor and the load disturbance. Therefore, it is significant to improve the adaptive ability of induction motor system.Based on the mathematical model of the induction motor in the two-phase rotating coordinate system, design a fuzzy adaptive approach based on dynamic surface control and the observation technology. Paper main research results are as follows:Firstly, the domestic and foreign research of induction motor drive system and several common control strategies are briefly introduced in the first part. The characteristics and development status of the backstepping control and fuzzy control are systematically presented to provide the theoretical foundation for the following research.Secondly, introduce the mathematical models of the induction motor system and briefly descript the changing principles of the mathematical models of the motor system in this part, the dynamic control based on the backstepping design is proposed for a class of single input single output strict feedback nonlinear systems, which provides a theoretical basis for the pager.Thirdly, based on the dynamic mathematical model for the induction motor, design a new adaptive fuzzy position control approach of the induction motor system. This new approach based on the dynamic surface is proposed for the five field-oriented induction motor(IM) with parameter uncertainties and load torque disturbance. The fuzzy approximation based on fuzzy logic systems is used to approximate the unknown and nonlinear functions of the IM drive system, and the adaptive backstepping technique is applied to fit the unknown parameters of the motor. The dynamic surface is successful to overcome the disadvantage of the backstepping design–explosion of complexity. Simulation results illustrate the effectiveness of the proposed control scheme.Fourthly, Based on the observation technology, design a new adaptive fuzzy position control way. The reduced order observer can be used to estimate the rotor speed of the motor system, which simplifies the structure of the system and reduces the manufacturing cost of the motor. The dynamic surface is used to solve the computing explosion problem in the backstepping design. The proposed control scheme can guarantee the tracking controller track the position control signal. In the Simulink environment, the simulation results demonstrate the effectiveness of the designed programs.