基于状态约束的异步电动机命令滤波反步控制  

State Constraints-Based Command Filtered Backstepping Control for Induction Motors

作　　者：吕振祥 于金鹏[1] 于海生[1] Lü Zhen-xiang;YU Jin-peng;YU Hai-sheng(School of Automation,Qingdao University,Qingdao 266071,China)

机构地区：[1]青岛大学自动化学院,青岛266071

出　　处：《微特电机》2020年第10期44-50,共7页Small & Special Electrical Machines

基　　金：国家重点研发计划项目(2017YFB1303503);国家自然科学基金项目(61573204);泰山学者工程专项经费资助(TSQN20161026)。

摘　　要：针对传统反步法无法约束异步电动机状态量的问题,引入障碍Lyapunov函数约束状态变量幅值,保证了异步电动机驱动系统的转子角速度、定子电流等状态始终在给定的区间内。利用模糊逻辑系统逼近系统中的非线性函数,并通过引入带有误差补偿的命令滤波控制(CFC)技术克服了传统反步法存在的“计算膨胀”的问题,构建了基于状态约束的命令滤波模糊自适应控制器。仿真结果表明了设计的控制器不仅实现了有效的位置跟踪,并且将转子角速度、定子电流等状态量限制在了给定的约束区间内,避免了因违反状态约束而引发的安全性问题。Aiming at the problem that the traditional backstepping method can not constrain the state variables of induction motors(IMs),the barrier Lyapunov function(BLF)was introduced to constrain the amplitude of state variables,which guarantees that the rotor angular velocity and stator current of the induction motor drive system are always in a given range.The fuzzy logic system was used to approximate the nonlinear functions in the system,and the command filtering control(CFC)technology with error compensation was introduced to overcome problem of“explosion of complexity”in the traditional backstepping design procedure,and a fuzzy adaptive controller based on state constraints and command filtering was constructed.The simulation results showed that the designed controller not only achieved the desired position tracking effect,but also limited the state variables such as rotor angular velocity and stator current to the given constraint interval,avoiding the security problems caused by violation of the state constraints.

关 键 词：状态约束 障碍Lyapunov函数 命令滤波控制 异步电动机 模糊控制 

分 类 号：TM343[电气工程—电机]