具有辅助调节功能的递归神经网络自适应PID控制
ADAPTIVE PID CONTROL BASED ON RECURRENT NEURAL NETWORKS AND AUXILIARY REGULATION ALGORITHM
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摘要: 本文指出并修正了对角递归神经网络算法中存在的不足，针对逆动力学模型控制器稳定性差的缺点，构造了基于递归神经网络的自适应PID控制系统，并给出了辅助调节算法．数学分析及仿真结果表明，本文所做的修正是合理的，所构造的系统可以对复杂和不确定性动力学系统实现良好的自适应控制，具有较高的控制精度和较强的鲁棒性．Abstract: The insufficiency of RNN algorithm has been pointed out and corrected in this paper. Aiming at the shortages of the inverted dynamic model, an adaptive PID control system has been proposed, and the auxiliary regulating algorithm has been provided. Simulation results show that this system can achieve good control accuracy and has good robustness.
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