Title: Design of a fault tolerant model predictive control using symbolic processing software

Authors: A. Inoue; Ming Cong Deng; A. Yanou

Addresses: Okayama University, Tsushimanaka, Kita, Okayama, Okayama Prefecture 700-8530, Japan ' Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan ' Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Kurashiki 701-0193, Japan

Abstract: This paper gives a controller for a fault tolerant model predictive control when a fault occurs at output feedback loop. Fault tolerant control is to control safely even when a fault occurs. That is, the steady gain does not change at a fault and transient response has not a large overshoot. The transient response is decided by the poles of the closed-loop and the controller. Hence, this paper derives the mathematical expressions of specifications: 1) the closed-loop poles; 2) the controller poles; 3) the steady gain at the output feedback failure by using symbolic processing software. Using the obtained expressions this paper gives a straightforward design procedure.

Keywords: fault tolerant control; model predictive control; extended controller; steady gain; closed-loop poles; controller poles; symbolic processing software; Gröbner basis.

DOI: 10.1504/IJAMECHS.2017.095890

International Journal of Advanced Mechatronic Systems, 2017 Vol.7 No.5, pp.319 - 327

Received: 09 Nov 2017
Accepted: 05 Jul 2018

Published online: 19 Oct 2018 *

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