摘要
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。
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.
出处
《微计算机信息》
北大核心
2006年第05S期59-61,共3页
Control & Automation
基金
河南省自然科学基金资助项目(0324220079)
