Title: Adaptive Fuzzy PID Control Method Based on Identification Structure
Abstract: The traditional PID controller can’t adapt to time-variant, uncertain and nonlinear system. In this paper, a new fuzzy adaptive PID control method based on identification structure waspresented. 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 identifiedonline used identification structure, and then Ziegler-Nichols method is used to tune the parameters ofPID controller in advance. The dynamic and static performance index of control system is optimized bycomputing the error and error-changing rate, using fuzzy rule to inquire fuzzy matrix table and real-time turning PID controller’s parameter. Simulations indicate that it is more steady and strongapplicability and robustness than traditional PID.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 8
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot