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Identification and Robust $H_\infty$ Control of the Rotational/Translational Actuator System  

Tavakoli Mahdi (Department of Electrical and Computer Engineering, Universoty of Western Ontario)
Taghirad Hamid D. (Department of Electrical Engineering, K. N. Toosi University of Technology)
Abrishamchian Mehdi (Maxtor Corporation, Shrewsbury)
Publication Information
International Journal of Control, Automation, and Systems / v.3, no.3, 2005 , pp. 387-396 More about this Journal
Abstract
The Rotational/Translational Actuator (RTAC) benchmark problem considers a fourth-order dynamical system involving the nonlinear interaction of a translational oscillator and an eccentric rotational proof mass. This problem has been posed to investigate the utility of a rotational actuator for stabilizing translational motion. In order to experimentally implement any of the model-based controllers proposed in the literature, the values of model parameters are required which are generally difficult to determine rigorously. In this paper, an approach to the least-squares estimation of the parameters of a system is formulated and practically applied to the RTAC system. On the other hand, this paper shows how to model a nonlinear system as a linear uncertain system via nonparametric system identification, in order to provide the information required for linear robust $H_\infty$ control design. This method is also applied to the RTAC system, which demonstrates severe nonlinearities, due to the coupling from the rotational motion to the translational motion. Experimental results confirm that this approach can effectively condense the whole nonlinearities, uncertainties, and disturbances within the system into a favorable perturbation block.
Keywords
Rotational/translational actuator; nonlinear system identification; system parametric identification; least squares estimation; nonparametric identification; prediction error method; unmodelled dynamics; model uncertainty; linear uncertain system;
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Times Cited By Web Of Science : 5  (Related Records In Web of Science)
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