DocumentCode :
592488
Title :
Tracking error analysis for singularly perturbed systems preceded by piecewise linear hysteresis
Author :
Edardar, Mohamed ; Xiaobo Tan ; Khalil, Hassan K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
3139
Lastpage :
3144
Abstract :
In this paper we introduce a new method for analyzing the closed-loop control system that involves a singularly perturbed plant preceded by hysteresis nonlinearity with piecewise linear characteristics, an example of which is a piezo-actuated nanopositioners. Different methods are compared to quantify the tracking error and examine how the change in slopes from one segment to another interacts with the controller parameters and hence affects the tracking error. These methods all involve the combination of inverse hysteresis compensation and feedback control, but the points of insertion for the hysteresis inverse vary. A proportional-integral feedback controller is used throughout this comparison. The presented analysis is important because it provides an explicit expression for the tracking error, where the feedback controller parameters can be adjusted for the desired performance. Simulation and experimental results are presented for tracking control of a piezo-actuated nanopositioner, where the hysteresis is modeled with a Prandtl-Ishlinskii (PI) operator. The analysis carried out in this paper is applicable to other operators, such as the modified PI-operator and the Krasnoselskii-Porkovskii (KP) operator among others, since they all demonstrate piecewise linear hysteresis characteristics.
Keywords :
closed loop systems; error analysis; feedback; piezoelectric actuators; singularly perturbed systems; tracking; Krasnoselskii-Porkovskii operator; Prandtl-Ishlinskii operator; closed loop control system; controller parameter; hysteresis nonlinearity; inverse hysteresis compensation; piecewise linear characteristics; piecewise linear hysteresis characteristics; piezo actuated nanopositioner; proportional integral feedback controller; singularly perturbed plant; singularly perturbed system; tracking control; tracking error analysis; Adaptive control; Equations; Feedback control; Feedforward neural networks; Hysteresis; Mathematical model; Nanopositioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426726
Filename :
6426726
Link To Document :
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