基于最优控制的模糊滑模PMLSM调速系统研究

Research of Speed Regulating System Based on Optimal Fuzzy SMC for PMLSM

为进一步提高永磁直线电机调速系统的动静态性能,采用最优控制方法进行切换函数设计,并将模糊控制与传统滑模变结构控制(SMC)相结合,以实现SMC控制器参数的最优化自整定。该文在研究永磁直线电机数学模型的基础上,采用最优控制法和指数趋近律法开发出SMC控制器。将模糊控制算法引入SMC控制器,以实现对SMC控制器参数的自寻优,减小稳态抖振。仿真实验结果表明,基于模糊控制的SMC控制系统的动静态性能优良,稳定性好,抗冲击能力强,解决了由于参数整定困难而导致SMC控制器性能不能达到最优化的问题。

In order to further improve on the static and dynamic performance of the permanent magnet linear synchronous motor speed regulating system, the optimal control method is used to design the switching func- tion, and the traditional sliding mode variable structure control（SMC） is combined with the fuzzy control to achieve SMC parameters self-regulating. In this paper, on the basis of studying the mathematic model of PMLSM, the optimal control method and exponential reaching law were adopted to develop the sliding mode variable structure controller. For reducing the chattering, the fuzzy control was introduced into the SMC to re- alize to the self-optimization of the SMC parameters. The simulation results show the SMC control system based on the fuzzy control algorithm has better static and dynamic performances and stability, and possesses stronger anti-strike performance. Therefore, the new control system resolves the problems which the traditional SMC controller can＇ t achieve the most optimization because of the difficulty of the parameter regulating.