Title :
Multivariable adaptive actuator nonlinearity compensation
Author :
Tao, Gang ; Ling, Yi
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
Many control systems are multivariable. Coupling dynamics in a multivariable system make it essentially more difficult to control than a single-variable system. In this paper, two adaptive schemes are developed for compensation of unknown nonsmooth nonlinearities at the input of a known multivariable linear plant: one with a state feedback design and the other with an output feedback design, based on a multivariable parameter estimation algorithm for coupled error models. Unlike their single-variable counterparts, some of the multivariable adaptive actuator nonlinearity compensation problems still remain unsolved if the linear plant is also unknown
Keywords :
state feedback; coupled error models; coupling dynamics; multivariable adaptive actuator; multivariable linear plant; multivariable parameter estimation algorithm; nonlinearity compensation; output feedback design; state feedback design; unknown nonsmooth nonlinearities; Adaptive control; Aerospace control; Algorithm design and analysis; Control systems; Hydraulic actuators; Linearity; MIMO; Nonlinear control systems; Output feedback; State feedback;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657853
