开关磁阻电机电感模型非线性补偿与控制  

Inductance Model Nonlinear Compensation and Control for Switched Reluctance Motor

作　　者：党选举[1] 施亚洲 姜辉[1] DANG Xuan-ju;SHI Ya-zhou;JIANG Hui(School of Electronic and Automation,Guilin University of Electronic Technology,Guilin Guangxi 541004,China)

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004

出　　处：《组合机床与自动化加工技术》2020年第9期112-116,122,共6页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金项目(61863008、61863007);广西自然科学基金项目(2016GXNSFDA380001)。

摘　　要：为了有效抑制开关磁阻电机(SRM)转矩脉动,针对SRM强非线性电感特性难以建模,而基于线性电感模型的转矩控制产生转矩脉动过大的问题,文章提出强化学习与模糊推理相融合的SRM电感模型非线性补偿与控制方法。根据SRM转矩脉动特性,设计模糊推理规则,构建模糊补偿器,在基于线性电感模型的闭环控制系统中,利用能体现SRM模型误差的转矩偏差及其变化率,实现对线性电感模型的非线性前馈补偿,间接描述了电感的强非线性特性;引入强化学习,设计回报函数,与模糊补偿器相配合,进一步实现电感模型的非线性自适应优化补偿。此方法与直接对电感非线性特性建模的方法不同,是采用了一种非线性前馈补偿的方法,避免了对强非线性电感特性的直接建模。仿真结果表明,所提出的方法能更好适应SRM非线性电感特性,改善控制系统动态品质,有效地抑制SRM转矩脉动。In order to reduce the torque ripple for switched reluctance motor(SRM) effectively, inductance model nonlinear compensation and control for SRM based on integrating reinforcement learning and fuzzy inference is proposed to solve the problem that strong nonlinear inductance characteristic for SRM is difficult to model and torque control based on linear inductance model causes large torque ripple. Fuzzy inference rules are designed and fuzzy compensator is constructed according to torque ripple characteristics of SRM. In the closed-loop control system based on the linear inductance model, the nonlinear feedforward compensation of the linear inductance model is realized by using the torque error and its derivative which can reflect model error of SRM, thus indirectly describing the strong nonlinear characteristics of inductance. Introducing reinforcement learning and designing reward function, the nonlinear adaptive optimization compensation for linear inductance model is further realized by cooperation with fuzzy compensator. The proposed method, different from the direct modeling of nonlinear inductance, adopts a nonlinear feedforward compensation strategy to avoid the direct modeling for strong nonlinear inductance characteristic. The simulation results show that the method proposed in the paper can better meet nonlinearity characteristic of inductance, improve the dynamic quality of the control system and reduce the torque ripple for SRM effectively.

关 键 词：开关磁阻电机 融合 模糊推理 强化学习 线性电感模型 前馈补偿 

分 类 号：TH162[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]