Adaptive Fuzzy PID Control Method Based on Identification Structure

摘要：

The traditional PID controller cant adapt to timevariant, uncertain and nonlinear system. In this paper, a new fuzzy adaptive PID control method based on identification structure was presented. Integrating model identification formed the adaptive fuzzy PID self-tuning algorithm, parameters tuning of PID controller and fuzzy control. The model of control object can be identified online used identification structure, and then Ziegler-Nichols method is used to tune the parameters of PID controller in advance. The dynamic and static performance index of control system is optimized by computing the error and errorchanging rate, using fuzzy rule to inquire fuzzy matrix table and real-time turning PID controllers parameter. Simulations indicate that it is more steady and strong applicability and robustness than traditional PID.

关键词： Fuzzy PID adaptive PID identification structure nonlinear control system

作者: LEI Lin WANG Houjun YU Yong

作者单位: School of Automation Engineering University of Electronic Science and Technology of China Chengdud, Sichuan Province 610054, China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 168-171

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）