Observer-Based Fuzzy Stochastic Command Filtering Control for Permanent Magnet Synchronous Motors
程帅,于金鹏,赵林,于海生
系统科学与数学 ›› 2020, Vol. 40 ›› Issue (12) : 2211-2224.
Observer-Based Fuzzy Stochastic Command Filtering Control for Permanent Magnet Synchronous Motors
针对电动汽车随机驱动系统中永磁同步电机存在的随机扰动和铁芯损耗的问题, 文章基于命令滤波技术设计了永磁同步电机的自适应模糊控制器. 首先, 运用模糊逻辑系统处理系统未知的随机非线性函数, 并通过设计的降维观测器估计永磁同步电机的转子角速度. 其次, 选择四次Lyapunov函数作为随机Lyapunov函数, 运用命令滤波技术解决由于连续求导而产生的``计算爆炸''问题, 并使用误差补偿机制减小误差产生的影响, 提高了系统的控制精度. 最后, 仿真结果验证了所使用的方法能够实现对期望信号的快速准确跟踪.
In this paper, an adaptive fuzzy controller based on command filtering technology for permanent magnet synchronous motors (PMSMs) in electric vehicle stochastic drive systems is proposed to resolve the problems of stochastic disturbances and iron losses. Firstly, the fuzzy logic system is used to deal with the unknown stochastic non-linear function, and the rotor angular velocity of PMSMs is estimated by the designed reduced order observer. Secondly, the quartic Lyapunov function is chosen as the stochastic Lyapunov function, and the command filtering technique is used to solve the problem of ``explosion of complexity" caused by continuous derivation in the calculation process. The error compensation mechanism is used to reduce the influence of errors, which improves the control accuracy of the system. Finally, the simulation results show that the method used in this paper can achieve fast and accurate tracking of the desired signal.
模糊自适应控制 / 随机非线性系统 / 观测器 / 永磁同步电机. {{custom_keyword}} /
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