Title :
Residual Iterative Feedback Tuning of Q-matrix for Fault-Tolerant Control against multiplicative failures
Author :
Wang Yulei ; Ma Guangfu
Author_Institution :
Harbin Inst. of Technol., Harbin, China
Abstract :
In this paper, we develop a data-driven fault tolerant control system for a discrete linear time-invariant plant with unknown multiplicative faults. The novel approach, Residual Iterative Feedback Tuning (RIFT), estimates the gradient of the design cost function by feeding back residual generation (embedded into the control parametrization) via set of experiments. Then the control performance is recovered based on an iterative descent algorithm. The main contribution of this conference paper is to present the RIFT scheme and shows its effectiveness by a simulation example.
Keywords :
control system synthesis; discrete time systems; failure analysis; fault tolerance; feedback; gradient methods; iterative methods; linear systems; matrix algebra; Q-matrix; RIFT scheme; control parametrization; control performance; cost function gradient estimation; data-driven fault tolerant control system; discrete linear time-invariant plant; iterative descent algorithm; multiplicative failures; residual generation feedback; residual iterative feedback tuning; unknown multiplicative faults; Approximation methods; Data-driven controller design; Fault-tolerant control; Iterative Feedback Tuning (IFT); Residual; Youla parametrization;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
