阐述了CMAC 神经网络的基本原理,并结合PID 控制的特点,将CMAC 神经网络与PID 复合控制算法应用在工业领域的温度控制系统中,并同传统的Zieglar-Nichols 阶跃响应法及单纯形算法作了比较。仿真结果表明:该复合控制算法具有较高的控制精度及良好的控制效果。 关键词:CMAC 神经网络,PID 控制,复合控制 Abstract: The theory of CMAC has been introduced and combined the principles of PID controller, the compound control based on CMAC and PID was applied to temperature control system in industry field. we also compared the results with simplex algorithm and Zieglar-Nichols method. Simulation showed the control method has high control accuracy and excellent control results. Key words: CMAC neural network, PID controller, Compound control