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提出一种基于ＢＰ神经网络的模糊自适应ＰＩＤ控制器。该控制器综合模糊控制、神经网络与ＰＩＤ调节各自的优点，既具有模糊控制的简单和有效的非线性控制作用，又具有神经网络的学习和适应能力．同时具备ＰＩＤ控制的广泛适应性，仿真实验表明该控制器对模型、环境具有较好的适应能力和较强的鲁棒性。
A fuzzy adaptive PID controller based on BP neural network is proposed. The controller integrates the advantages of fuzzy control, neural network and PID control respectively. It not only has the simple and effective nonlinear control function of fuzzy control, but also has the ability of learning and adapting neural network. At the same time with a wide range of PID control adaptability, simulation experiments show that the controller has good adaptability to the model and the environment and strong robustness.