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从伺服系统所面临的问题出发，分析了神经网络和经典ＰＩＤ控制算法在系统参数不易确定和非线性因素不易描述的伺服系统中的优势和不足，提出了一种适用于伺服系统的算法--改进冲量ＢＰ神经网络／ＰＩＤ控制法。实验仿真结果表明本算法对伺服系统的控制问题显示出了较好的适应性、鲁棒性和快速性。
Based on the problems faced by the servo system, this paper analyzes the advantages and disadvantages of the neural network and the classical PID control algorithm in the servo system whose system parameters are not easy to be determined and the non-linear factors are difficult to describe. An algorithm suitable for the servo system is proposed - Improved Impulse BP Neural Network / PID Control Method. Experimental results show that the proposed algorithm shows good adaptability, robustness and fastness to the control problems of servo system.