Title :
Adaptive PID Controller Based on Generalized Predictive Control
Author :
Dai, Zhong ; Duan, Yubo ; Xu, Shuangshuang ; Shao, Keyong ; Chen, Qin
Author_Institution :
Natural Gas Branch of Daqing Oilfield, Northeast Pet. Univ., Daqing, China
Abstract :
Consider the fundamental generalized predictive control is an explicit algorithm, which needs solving the Diophantine equation and the inverse of matrices, the on-line computational quantity is big and the real-time property is poor. This paper puts forward a generalized predictive PID controller to the second-order time delay system commonly used in industry, which makes the control process more convenient and clear. Besides, a direct generalized predictive control method is presented in this paper, which has fewer requirements for modeling and can adaptively adjust the controller´s parameters based on generalized estimate errors. The controller´s parameters are identified directly instead of using the explicit algorithm, and the online computing time is shortened. At last, the simulation in MATLAB demonstrates the effectiveness of this method.
Keywords :
adaptive control; delays; matrix algebra; polynomials; predictive control; process control; three-term control; Diophantine equation; MATLAB; adaptive PID controller; direct generalized predictive control; error estimation; explicit algorithm; matrices inverse; process control; second-order time delay system; Adaptation models; Computational modeling; Mathematical model; Prediction algorithms; Predictive control; Predictive models; PID; direct adaptive algorithm; generalized predictive control; simulation;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.250