Inverse error analysis and adaptive output feedback control of uncertain systems preceded with hysteresis actuators. Issue 17 (1st November 2014)

• Record Type: Journal Article
• Authors: Liu, Sining; Su, Chun‐Yi
• Is Part Of: IET control theory & applications. Volume 8:Issue 17(2014)
• Page Start: 1824
• Page End: 1832
• Publication Date: 2014-11-01
• Subjects: error analysis -- adaptive control -- feedback -- control system synthesis -- uncertain systems -- actuators -- control nonlinearities -- compensation -- feedforward -- observers -- robust control; uncertain systems -- hysteresis actuators -- hysteresis nonlinearities -- hysteresis effect mitigation -- output control -- feedforward compensator -- modified generalised Prandtl‐Ishlinskii model -- analytical expression -- inverse compensation error analysis -- observer‐based robust adaptive output feedback controller development -- control system stability -- tracking accuracy; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2014.0314
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : The development of control approaches for systems preceded with hysteresis non‐linearities has received great attentions in recent decades. The most common approach is the construction of an inverse model as the compensator to mitigate hysteresis effects. However, most of the developed schemes are state‐based, requiring the availability of states of systems, which may not be the case for some practical systems. In this study, output control with inverse compensation will be addressed. By using the inverse as a feedforward compensator for the model described by the modified generalised Prandtl–Ishlinskii model, an corresponding analytical expression of the inverse compensation error is first obtained. Then, an observer‐based robust adaptive output feedback controller is developed. It is shown that the proposed output feedback control scheme can not only guarantee the stability of the control systems, but also can achieve the desired tracking accuracy.