A data-driven fault-tolerant control design of linear multivariable systems with performance optimization

Zhe Li; Guang-Hong Yang

doi:10.1016/j.isatra.2017.07.021

A data-driven fault-tolerant control design of linear multivariable systems with performance optimization

ISA Trans. 2017 Sep:70:200-208. doi: 10.1016/j.isatra.2017.07.021. Epub 2017 Jul 30.

Authors

Zhe Li¹, Guang-Hong Yang²

Affiliations

¹ College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
² College of Information Science and Engineering, Northeastern University, Shenyang 110819, China; State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang 110819, China. Electronic address: yangguanghong@ise.neu.edu.cn.

PMID: 28764855
DOI: 10.1016/j.isatra.2017.07.021

Abstract

In this paper, an integrated data-driven fault-tolerant control (FTC) design scheme is proposed under the configuration of the Youla parameterization for multiple-input multiple-output (MIMO) systems. With unknown system model parameters, the canonical form identification technique is first applied to design the residual observer in fault-free case. In faulty case, with online tuning of the Youla parameters based on the system data via the gradient-based algorithm, the fault influence is attenuated with system performance optimization. In addition, to improve the robustness of the residual generator to a class of system deviations, a novel adaptive scheme is proposed for the residual generator to prevent its over-activation. Simulation results of a two-tank flow system demonstrate the optimized performance and effect of the proposed FTC scheme.

Keywords: Adaptive scheme.; Data-driven; Fault-tolerant control (FTC); Residual generator.