Title: Design of self-tuning controllers for highly non-linear mechatronic systems

Authors: Amir Nassirharand

Addresses: Materials, Mechanics and Structures Research Division, Faculty of Engineering, The University of Nottingham – Malaysia Campus, Jalan Broga, Semenyih, Selangor, Malaysia

Abstract: A new procedure for design of self-tuning adaptive controllers (e.g., PID, lead-lag and in general nth order linear controllers) for use with highly non-linear mechatronic systems of the sort encountered in robotic and servomechanism control is developed. The procedure is presented in an algorithmic format. Describing function models, using analytical or experimental techniques, are used to determine the structure of the approximating linear plant at various operating regimes. The parameters of this linear structure are identified (using any available identification scheme) followed by obtaining the parameters of the linear controller by solving a set of simultaneous linear algebraic equations in real time. The procedure is demonstrated for design of self-tuning PID and lead-lag controllers for a non-linear plant of the sort encountered in servomechanism. It is shown that results are better than a fixed gain linear PID controller, and they compete with designs involving a non-linear PID and a non-linear H_∞ controller that were previously reported in the open literature.

Keywords: adaptive control; nonlinear systems; PID control; lead-lag control; self-tuning control; controller design; mechatronics; robot control; servomechanism control.

DOI: 10.1504/IJMIC.2011.041784

International Journal of Modelling, Identification and Control, 2011 Vol.13 No.4, pp.291 - 300

Published online: 21 Mar 2015 *

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