Title :
Research on application of fuzzy adaptive PID controller in bridge crane control system
Author :
Cheng Liu ; Haizhou Zhao ; Yang Cui
Author_Institution :
Sch. of Electr. Inf. Eng., Beihua Univ., Jilin, China
Abstract :
With the development of industry the bridge crane develops into intelligence, the main case of its control system is that the load reach the designated position rapidly and steady so it can improve the work efficiency, and decrease the hidden dangers during its operation. To solve this problem and due to nonlinear and uncertainty of the crane model, in the paper shows a detailed analysis of the mathematical model of cart-load system and proposes the method of positioning and anti-swing using fuzzy adaptive PID controller, further more, it designs two controllers for the cart position and swing angle respectively. The simulation results prove the feasibility of this method and it can reduce the working time effectively and improve the working safety factor. It is an ideal control method for bridge crane.
Keywords :
adaptive control; cranes; fuzzy control; nonlinear control systems; safety; three-term control; uncertain systems; antiswing method; bridge crane control system; cart-load system; controller designs; fuzzy adaptive PID controller; mathematical model; nonlinear; positioning method; uncertainty; work efficiency; working safety factor; working time reduction; Adaptation models; Adaptive systems; Bridges; Control systems; Cranes; Mathematical model; Niobium; PID controller; bridge crane; fuzzy controller; safe operation; working efficiency;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933727
