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A Control Method of AC Induction Motor Based on CMAC and Single Neuron PID Controller

机译:基于CMAC和单神经元PID控制器的交流感应电动机控制方法。

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A composite controller using Cerebellar Model Articulation Controller (CMAC)Neural Network and single neuron PID is proposed in the paper to solve the speed control problems between static and dynamic performance and contradiction between tracking settings and suppressing disturbance capacities due to poor robustness of conventional PID controller since AC induction motor is a high-order, strong couple, nonlinear multivariable system. The approach adopts single neuron PID controller in place of conventional PID single neuron controller parameter optimization and application of neural network controller facilitates feed forward control. On this basis, a PWM algorithm based on MCF5235 is presented, fulfilling AC induction motor governing. To assess the effectiveness of the proposed composite controller, experiments and simulations were conducted. Obtained results show the proposed approach is satisfactory in fast response, small overshoot, high control accuracy, strong anti-interference ability and robustness when compared with conventional PID controller[2].
机译:为了解决传统PID控制器鲁棒性差的问题,提出了一种基于小脑模型关节控制器(CMAC)神经网络和单神经元PID的复合控制器,解决了静态和动态性能之间的速度控制问题,以及跟踪设置之间的矛盾,抑制了干扰能力。由于交流感应电动机是高阶,强耦合,非线性多变量系统。该方法采用单神经元PID控制器代替常规PID单神经元控制器参数优化,并且神经网络控制器的应用有助于前馈控制。在此基础上,提出了一种基于MCF5235的PWM算法,实现了交流感应电动机的调节。为了评估所提出的复合控制器的有效性,进行了实验和仿真。所得结果表明,与传统的PID控制器相比,该方法具有响应速度快,过冲小,控制精度高,抗干扰能力强,鲁棒性强的特点[2]。

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