Direct Torque Fuzzy Control Of Switched Reluctance Motor Based On Active Disturbance Rejected Control

With many features, such as low production cost, good performance of speed adjustment, strong reliability, flexible control strategies and so on, the Switched Reluctant Drive system seizes a considerable market share in the competition with other types of motor. However, the inherent torque ripple and the following noise restrain its develop and application further. The use of Direct Torque Control for modern AC speed adjustment system has become more mature, whose unique methods of controlling torque is suitable for Switched Reluctant Drive system. If application is successful, to some extent, the torque ripple will be limited. Based on this reasoning, this paper aims to study the application of Direct Torque Control in the drive system of Switched Reluctance Motor.After mathmatical derivation, achieve the expression of electromagnetic and torque of Switched Reluctance Motor, and according to this, find out similarities to traditional algorithm, and then, demonstrate the feasibility of the new algorithm. After finishing the modeling of this system with MATLAB, compare with the current chopper system, and the simulation results show that the use of direct torque control for Switched Reluctance Motor system achieves high dynamic and static performance, and gets better efforts in the limits of torque ripple.Due to the lack of traditional Direct Torque Control algorithm, this paper makes two improvements on the original system. One is using the theory of Fuzzy control to improve the torque, subdividing the level of flux and torque errors, to optimize the selection of switching states. The other is using the theory of Active Disturbance Rejected Control to improve the speed loop, smoothing the input signals, estimating the disturbance real time, and finishing feedforward compensation, to achieve the precise torque reference signals. The simulation results show that, using the new algorithm for the system, whose performance is better than those of original system. The torque ripple is limited more effectively. Meanwhiles, the dynamic, static performance and robustness of the system have also big improvements. The rationality and validity of new algorithm are confirmed.