基于ARM的免疫原理解耦算法的研究

Research on Decoupling Algorithm Based on Immunen Principle Used of ARM

为满足复杂工业过程控制对鲁棒性的要求,将采用免疫神经元PID控制解耦算法进行试验,验证改进算法的优化性能。该控制系统的硬件设计采用嵌入式系统(ARM)方式,用于环境试验箱进行试验,软件采用C语言的编程规则进行设计,解耦算法的实现采用了神经元控制结构和免疫反馈原理二者相结合。通过实验表明,这种新的控制解耦算法学习速度快,动态响应时间短,实现了参数的在线优化,提高了系统的鲁棒性。

To meet requirements of robustness on the complex industrial control process,the decoupling algorithm based on immune neurons PID control principle is used,the simulation shows that new algorithm has impoved highly operating performance.the embedded system（ARM） is used on the hardware design of control system,which is tested by the environmental test chamber,the software is designed on C language,the decoupling algorithm is implemented by combinating between the structure of neural control and the immune feedback principle.