Title :
Adaptive one-step-ahead control with input amplitude, rate, and acceleration constraints
Author :
Cheng, J. John ; Wang, Yi-Ming
Author_Institution :
Dept. of Mech. Eng., Nat. Chung Cheng Univ., Taiwan
Abstract :
Considers tracking control design for uncertain linear SISO stable processes with input amplitude, rate, as well as acceleration constraints. A self-tuning adaptive control was developed. Its underlying control design is carried out via one-step ahead optimal control while its parameter update is obtained through the least-square projection algorithm. It is shown that, under a sufficient condition, the proposed adaptive control is globally convergent in the sense that the adaptive control asymptotically matches the constrained one-step-ahead optimal control which assumed system parameters are available. Computer simulation of the velocity tracking performance of a DC motor with input voltage amplitude, rate, and acceleration constraints are provided to illustrate the effectiveness of the proposed adaptive control
Keywords :
adaptive control; control system synthesis; convergence; linear systems; optimal control; parameter estimation; predictive control; self-adjusting systems; stability; uncertain systems; acceleration constraints; adaptive one-step-ahead control; global convergence; input amplitude constraints; least-square projection algorithm; one-step ahead optimal control; parameter update; rate constraints; self-tuning adaptive control; sufficient condition; tracking control design; uncertain linear SISO stable processes; velocity tracking performance; Acceleration; Adaptive control; Control design; Control systems; DC motors; Mechanical engineering; Optimal control; Programmable control; Projection algorithms; Sufficient conditions;
Conference_Titel :
Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5446-X
DOI :
10.1109/CCA.1999.801140