Title :
Adaptive control of plants with unknown hystereses
Author :
G. Tao;P.V. Kokotovic
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
For a system with hysteresis, the authors present a parameterized hysteresis model and develop a hysteresis inverse. The authors then design adaptive controllers with an adaptive hysteresis inverse for plants with unknown hysteresis. A new adaptive controller structure is introduced which is capable of achieving a linear parameterization and a linear error model in the presence of a hysteresis nonlinearity. A robust adaptive law is used to update the controller parameters and hysteresis inverse parameters, which ensures the global boundedness of the closed-loop signals for a wide class of of hysteresis models. Simulations show that the use of the adaptive hysteresis inverse leads to major improvements of system performance.
Keywords :
"Adaptive control","Hysteresis","Programmable control","System performance","Error correction","Robust control","Gears","Nonlinear systems","Hydraulic actuators","Control systems"
Journal_Title :
IEEE Transactions on Automatic Control