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利用迭代学习控制过程记忆的期望控制ud(t)、期望轨迹yd(t)以及跟踪误差ek+1(t),提出了用迭代学习控制理论进行系统控制律设计的方法,并基于神经网络的拟合算法拟合出控制系统PID控制器的参数,实现了对系统的迭代学习控制.研究表明,这种方法实现的PID控制器结构简单,作用于系统可获得较佳的动态特性和较强的鲁棒性.仿真实例表明了这种方法具有很好的可行性和实用性.
The iterative learning control method is used to design the system control law by using the iterative learning control process memory expectation control ud (t), the desired trajectory yd (t) and the tracking error ek + 1 (t). Based on the neural network The fitting algorithm fits the parameters of the PID controller of the control system and realizes the iterative learning control of the system.The research shows that the PID controller realized by this method has the advantages of simple structure and better dynamic characteristics and stronger effect on the system The simulation results show that this method has good feasibility and practicability.