Title :
Adaptive controller design using just-in-time learning algorithm
Author :
Cheng, Cheng ; Hashimoto, Yoshihiro ; Chiu, Min-Sen
Author_Institution :
Dept. of Chem. & Biomolecular Eng., Nat. Univ. of Singapore, Singapore
Abstract :
An adaptive PID controller design based on just-in-time learning (JITL) algorithm is developed. Inspired by the learning strategy of neural network, a gradient descent algorithm is used to tune the controller parameters on-line based on the information provided by JITL. In addition, a predictive feedforward control scheme is devised to enhance the disturbance rejection capability of the proposed design. The proposed method is illustrated and evaluated by a case study of a polymerization reactor.
Keywords :
adaptive control; chemical reactors; control system synthesis; feedforward; gradient methods; learning systems; predictive control; process control; three-term control; PID control; adaptive control design; disturbance rejection capability; gradient descent algorithm; just-in-time learning algorithm; neural network; polymerization reactor; predictive feedforward control; Adaptive control; Algorithm design and analysis; Chemical processes; Chemical technology; Electrical equipment industry; Inductors; Neural networks; Polymers; Programmable control; Three-term control;
Conference_Titel :
Control Applications, 2004. Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8633-7
DOI :
10.1109/CCA.2004.1387520
