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Simulation and Application of Neural Network PID Auto-Tuning Controller in Servo-System

机译:伺服系统神经网络PID自整定控制器的仿真与应用

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摘要

It is difficult for the control system to get expected effect because of factors such as time-varying and non-linear. Considering the fact, a new algorithm is put forward, in which parameters of the PID control parameters are optimized by BP and RBF nets. By using MATLAB as the simulation tool, this new PID auto-tuning algorithm is simulated and researched. The simulation results show that this algorithm has enhanced response speed and robustness.
机译:由于诸如时变和非线性等因素,控制系统很难获得预期的效果。考虑到这一事实,提出了一种新的算法,其中通过BP和RBF网络对PID控制参数的参数进行优化。利用MATLAB作为仿真工具,对这种新的PID自整定算法进行了仿真研究。仿真结果表明,该算法具有较高的响应速度和鲁棒性。

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