Hybrid control based on inverse Prandtl-Ishlinskii model for magnetic shape memory alloy actuator

作     者：周淼磊 高巍 田彦涛 

作者机构：Department of Control Science and EngineeringJilin University 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2013年第20卷第5期

页      面：1214-1220页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：Project(51105170) supported by the National Natural Science Foundation of China Project supported by the Scientific Research Foundation for the Returned Overseas Chinese Scholars,Ministry of Education,China 

主　　题：magnetic shape memory alloy hysteresis hybrid control Prandtl-Ishlinskii model neural network 

摘      要：The hysteresis characteristic is the major deficiency in the positioning control of magnetic shape memory alloy actuator. A Prandtl-Ishlinskii model was developed to characterize the hysteresis of magnetic shape memory alloy actuator. Based on the proposed Prandtl-Ishlinskii model, the inverse Prandtl-Ishlinskii model was established as a feedforward controller to compensate the hysteresis of the magnetic shape memory alloy actuator. For further improving of the positioning precision of the magnetic shape memory alloy actuator, a hybrid control method with hysteresis nonlinear model in feedforward loop was proposed. The control method is separated into two parts: a feedforward loop with inverse Prandtl-Ishlinskii model and a feedback loop with neural network controller. To validate the validity of the proposed control method, a series of simulations and experiments were researched. The simulation and experimental results demonstrate that the maximum error rate of open loop controller based on inverse PI model is 1.72%, the maximum error rate of the hybrid controller based on inverse PI model is 1.37%.