DocumentCode
2043722
Title
Adaptive control with unknown parameters estimation for motion tracking of piezo-driven micromanipulator
Author
Yulong Zhang ; Qingsong Xu
Author_Institution
Dept. of Electromech. Eng., Univ. of Macau, Taipa, China
fYear
2015
fDate
2-5 Aug. 2015
Firstpage
1270
Lastpage
1275
Abstract
The microgripper actuated by piezoelectric actuator (PEA) is a typical micromanipulator. In order to control it to attain exact position, a good adaptiveness and robustness against disturbance should be guaranteed. However, because of the nonlinear hysteresis in the PEA and other disturbance such as drift, it is not an easy assignment to get an accurate position control. Another difficulty lies in the changes of mass, damping or stiffness. This paper proposes a solution to tackle these difficulties using sliding mode control with an adaptive law. The designed controller can guarantee the stability of micromanipulator. It also enables the system enough feasibility and robustness to resist the disturbance and the variation of uncertain parameters.
Keywords
adaptive control; damping; micromanipulators; motion control; parameter estimation; piezoelectric actuators; position control; stability; variable structure systems; adaptive control; adaptive law; damping; motion tracking; piezo-driven micromanipulator; piezoelectric actuator; position control; sliding mode control; stability; stiffness; unknown parameters estimation; Adaptation models; Grippers; Hysteresis; Lyapunov methods; Mathematical model; Micromanipulators; Robustness; Adaptiveness; feasibility; hysteresis; micromanipulator; nonlinear control; piezoelectric actuator; robustness; sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-7097-1
Type
conf
DOI
10.1109/ICMA.2015.7237668
Filename
7237668
Link To Document