Title :
A novel adaptive sliding mode controller for MEMS gyroscope
Author :
Fei, J. ; Batur, C.
Author_Institution :
Univ. of Akron, Akron
Abstract :
This paper presents a new adaptive sliding mode controller for MEMS gyroscope; an adaptive tracking controller with a proportional and integral sliding surface is proposed. The adaptive sliding mode control algorithm can estimate the angular velocity vector and the linear damping and stiffness coefficients in real time. A proportional and integral sliding surface, instead of a conventional sliding surface is adopted. An adaptive sliding mode controller that incorporates both matched and unmatched uncertainties and disturbances is derived and the stability of the closed-loop system is established. The numerical simulation is presented to verify the effectiveness of the proposed control scheme. It is shown that the proposed adaptive sliding mode control scheme offers several advantages such as consistent estimation of gyroscope parameters including angular velocity and large robustness to parameter variations and external disturbances.
Keywords :
adaptive control; closed loop systems; control system synthesis; damping; gyroscopes; micromechanical devices; robust control; uncertain systems; variable structure systems; MEMS gyroscope; adaptive tracking controller; angular velocity vector estimation; closed-loop system; external disturbance; gyroscope parameter estimation; integral sliding surface; linear damping; parameter variation; proportional sliding surface; robustness; sliding mode controller; stability; stiffness coefficient; unmatched uncertainties; Adaptive control; Angular velocity; Damping; Gyroscopes; Micromechanical devices; Pi control; Programmable control; Proportional control; Sliding mode control; Vectors;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434098