Varying-sliding condition adaptive controller for a class of unknown discrete-time systems with data-driven model Online publication date: Sat, 22-Apr-2017
by Chidentree Treesatayapun
International Journal of Modelling, Identification and Control (IJMIC), Vol. 27, No. 3, 2017
Abstract: In this paper, an adaptive controller is developed based on discrete-time sliding mode control with a varying-sliding condition. The controlled plant is considered as an unknown system dynamic. The dynamic model is estimated by a data-driven scheme with pseudo-partial derivative (PPD) of plant's input-output. The convergence analysis of estimated model is established under reasonable assumptions which exist in practical systems. Furthermore, the accuracy of the estimated PPD is verified by the computer simulation system. The control law is designed by the data-driven model and time varying-sliding gain which is proposed to guarantee the convergence of tracking error. A prototype DC-motor current control demonstrates the validation of the proposed control scheme as experimental results. The comparative results with the conventional data-driven controller represent the effectiveness and the applicability of the proposed controller.
Online publication date: Sat, 22-Apr-2017
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com