Control System Development Of Switched Reluctance Motor

Switched Reluctance Motor (SRM) has not only the advantages of low cost, simple structure, easily heat dissipate, but also strong fault tolerant, high reliability, strong robustness. With the development of power electronics, microprocessor and intelligent control technology, SRM electric drive system has drawn more and more attention. The doubly salient structure and magnetic edge effects will cause torque ripple and noise. Meanwhile, SRM usually works at deeply magnetic saturation, making the flux and torque couple strongly with motor positon and current, which gains the challenge of designing highly performanced SRM system. The main work of this paper includes:(1) The basic operating and modeling methods of SRM is briefly described. Based on SRM’s simplified physical model, the reluctance torque generation principle is derived; With the voltage, mechanical and contacted equation, SRM linear, piecewise linear and nonlinear models are derived under different simplification.(2) Different SRM control algorithms are discussed. With simulation on computer, the effects on CCC method caused by control delay and sampling rate are researched; Appling small signal modeling method, combining simulation the limitations of conventional PI are analysised. And a hybrid fuzzy PI algorithm is presented. Moreover, a current controller based on Iterative Learning Control (ILC) is designed.(3) The design of SRM control system is completed in this part. Which includs the power-level hardware design, control-level circuit design and control software design. And the rationality and effectiveness of the system are verificated through some experiments.(4) The control strategies discussed above are verificated effectively by some experiments. Meanwhile strategies are optimized according to the experimental results. The load capacity of SRM system is tested under different conditions. Finally, the tested efficiency verifies the design effectiveness and the superiority of SRM.