Title :
Adaptive control of plants with unknown hystereses
Author :
G. Tao;P.V. Kokotovic
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
The authors present a parametrized hysteresis model and develop a hysteresis inverse. They then design adaptive controllers with an adaptive hysteresis inverse for plants with unknown hystereses. A novel adaptive controller structure is introduced which is capable of achieving a linear parametrization and a linear error model in the presence of a hysteresis nonlinearity. A robust adaptive law updates the controller parameters and ensures the global boundedness of the closed-loop signals. Extensive simulations show that the use of the adaptive hysteresis inverse leads to major improvements in system performance.
Keywords :
"Adaptive control","Hysteresis","Programmable control","Error correction","Robust control","System performance"
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371742