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机构地区:[1]西北工业大学自动化学院,陕西西安710072 [2]西安科技大学网络中心,陕西西安710054
出 处:《电机与控制学报》2011年第12期7-13,共7页Electric Machines and Control
基 金:博士学科点专项科研基金(20106102110032)
摘 要:针对多变量约束条件的永磁同步电机(PMSM)调速问题,提出一种稳定模型预测控制(MPC)策略。采用更加简单、精确的PMSM线性化模型设计一个线性MPC控制器;在线性MPC策略中引入终端函数和终端多面体不变集概念,通过构造包含多变量约束条件的线性规划问题,使线性MPC控制器能够保证系统的闭环稳定性。与传统抗饱和(Anti-Windup)方法相对比,MPC显示出在多变量系统和多变量约束条件下的应用优势及潜力。仿真结果表明,稳定MPC控制器结构简单,计算量小,静、动态性能优异,鲁棒性强。A stabilizing model predictive control(MPC) strategy is proposed which can efficiently deal with the speed control of PMSM with multi-variable constraints.A single linear MPC controller is designed with a simpler and more accurate linearization model.Moreover,introducing the conceptions of terminal function and terminal polytope invariant set into the linear MPC algorithm,the linear program problem with multi-variable constraints is constructed so that the stability of closed-loop system can be guaranteed with the MPC controller designed.With contrast to anti-windup method,the application superiorities and potential of MPC for multi-variable system and multi-variable constraints system are presented.The simulation results verify that the stabilizing MPC has simple structure,small calculation demand,excellent static and dynamic performance and strong robustness.
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