PMSM自适应分数阶滑模控制器设计

Design of a PMSM adaptive fractional order sliding mode controller

针对传统滑模控制的控制性能随着永磁同步电机运行参数的变化而急剧恶化,导致转速抖振大、电流谐波和转矩脉动等问题,设计一种新颖的模糊自适应分数阶趋近律滑模速度控制器。首先,结合分数阶理论和一般幂次趋近律函数设计了一种新颖的自适应分数阶趋近律,并通过正交实验来分析自适应参数的水平。其次,利用模糊控制器在线调整参数,增强了控制器的鲁棒性。由于模糊控制的引入会带来了更大的电流谐波,使用最优占空比的电流预测控制代替传统电流内环PI控制器。最后,搭建仿真模型并与传统幂次趋近律滑模控制器进行对比,仿真结果表明,本文提出控制器的三相电流谐波降低了7.93%,突加负载后的转速降落减小了31.2%,鲁棒性更强。

To address the problems that the control performance of conventional sliding mode speed control deteriorates drastically with the changes of the operating parameters of permanent magnet synchronous motor,resulting in large speed jitter,current harmonics and torque pulsations,a novel adaptive fractional-order reaching law sliding mode controller is designed.Firstly,a novel fuzzy adaptive fractional-order reaching law is designed by combining the fractional-order theory and the general power convergence law function,and the level of the adaptive parameters is analysed by orthogonal experiment.Secondly,the parameters are adjusted online using a fuzzy controller to improve the robustness of the controller.Since the introduction of the fuzzy control introduces more current harmonics,the current predictive control with optimal duty cycle is used instead of the traditional current inner loop PI controller.Finally,the simulation model is built and compared with the traditional power reaching law sliding mode controller,and the simulation results show that the three-phase current harmonics of the proposed controller in this paper are reduced by 7.93%,and the speed landing after sudden load addition is reduced by 31.2%,which makes the robustness stronger.