摘要
A fuzzy neural network controller with the teaching controller guidance and parameter regulations for vector-controlled induction motor is proposed. The design procedures of the fuzzy neural controller and the teaching controller are described. The parameters of the membership function are regulated by an on-line learning algorithm. The speed responses of the system under the condition, where the target functions are chosen as I qs and ω, are analyzed. The system responses with the variant of parameter moment of inertial J, viscous coefficients B and torque constant K tare also analyzed. Simulation results show that the control scheme and the controller have the advantages of rapid speed response and good robustness.
针对矢量控制异步电动机 ,利用模糊神经网络控制理论 ,提出了一种教师值指导和隶属函数自调整的模糊神经网络控制器。详细描述了模糊神经网络控制器和教师值控制器的设计过程 ,采用了隶属函数参数在线调节的办法 ,推导了隶属函数参数调整的公式和算法 ,研究了以转矩电流 Iqs为目标函数和系统输出转速 ω为目标函数的情况下的系统转速响应 ,分析了系统转动惯量 J、粘滞摩擦系数 B和转矩系数 Kt变化情况下系统的性能 ,仿真结果表明该控制器具有速度响应快。
基金
广东省自然科学基金 ( 0 2 0 1 1 8)资助项目~~
