Title :
Self-tuning-parameter fuzzy PID temperature control in a large hydraulic system
Author :
Feng, Bin ; Gong, Guofang ; Yang, Huayong
Author_Institution :
State Key Lab. of Fluid Power Transm. & Control, Zhejiang Univ., Hangzhou, China
Abstract :
Oil temperature control in a large hydraulic system is dealt with using the fuzzy logic control algorithm. Mathematic model of the control system characterized by large time delay is created based on law of thermodynamics. A self-tuning-parameter fuzzy PID controller is designed to regulate the cooling water flow rate through the triple proportional valve in order to control the oil temperature. The simulations and experiments are carried out, making a comparison with conventional PID control. The results suggest that fuzzy PID strategy can efficiently improve the performance of the hydraulic temperature control system, irrespective of time delay problem and parameter variations. It achieves higher control accuracy of temperature, faster response and stronger robustness than conventional PID control system.
Keywords :
control system synthesis; delays; flow control; fuzzy control; hydraulic systems; oils; self-adjusting systems; temperature control; three-term control; cooling water flow rate regulation; fuzzy logic control algorithm; large hydraulic system; mathematic model; oil temperature control; self-tuning-parameter fuzzy PID temperature control design; thermodynamics; time delay; triple proportional valve; Control systems; Delay effects; Fuzzy control; Fuzzy logic; Fuzzy systems; Hydraulic systems; Petroleum; Proportional control; Temperature control; Three-term control;
Conference_Titel :
Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2852-6
DOI :
10.1109/AIM.2009.5229854