A Two-step LMI Scheme for H2 − H∞ Control Design

In this paper, a two-step H<inf>2</inf> − H<inf>∞</inf> control design scheme with guaranteed mixed H<inf>2</inf> and H<inf>∞</inf> performance is proposed. Different from the traditional H<inf>2</inf>/H<inf>∞</inf> control, the proposed method designs an H<inf>2</inf> controller for a nominal plant and then designs an extra Q operator to recover robustness in H<inf>∞</inf> sense for the closed-loop system. When the system uncertainty occurs, operator Q is triggered by a residual signal due to the error between the nominal model and the actual plants, and an extra control signal is generated by operator Q to compensate the nominal H<inf>2</inf> controller. It is noted that the proposed H<inf>2</inf> − H<inf>∞</inf> design scheme provides additional design freedom to reduce conservativeness, comparing with the traditional mixed H<inf>2</inf>/H<inf>∞</inf> control. The control design in the Linear Matrix Inequality (LMI) approach is applied to synthesize the H<inf>2</inf> − H<inf>∞</inf> controller. Simulation results of a numerical example are given to demonstrate that H<inf>2</inf> − H<inf>∞</inf> control design is able to compensate the nominal H<inf>2</inf> control and significantly improve system performance in the presence of system uncertainty. Moreover, two-step H<inf>2</inf> −H<inf>∞</inf> control renders better state responses than the traditional mixed H<inf>2</inf>/H<inf>∞</inf> control.

[1]  Guoming G. Zhu,et al.  Application of ICC LPV control to a blended-wing-body airplane with guaranteed H∞ performance , 2018, Aerospace Science and Technology.

[2]  Guoming Zhu,et al.  Switching State-Feedback LPV control with uncertain scheduling parameters , 2017, 2017 American Control Conference (ACC).

[3]  P. Gahinet,et al.  H design with pole placement constraints , 2018 .

[4]  Jie Chen Sensitivity Integral Relations and Design Tradeoffs in Linear Multivariable Feedback Systems , 1993 .

[5]  P. Gahinet,et al.  A linear matrix inequality approach to H∞ control , 1994 .

[6]  Alan J. Laub,et al.  The LMI control toolbox , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[7]  C. Scherer,et al.  Multiobjective output-feedback control via LMI optimization , 1997, IEEE Trans. Autom. Control..

[8]  C. Scherer Mixed H2/H∞ control for time‐varying and linear parametrically‐varying systems , 1996 .

[9]  Mi-Ching Tsai,et al.  Robust and Optimal Control , 2014 .

[10]  P. Khargonekar,et al.  State-space solutions to standard H2 and H∞ control problems , 1988, 1988 American Control Conference.

[11]  Z. Prime,et al.  On the dynamics of the furuta pendulum , 2011 .

[12]  Zhang Ren,et al.  A new controller architecture for high performance, robust, and fault-tolerant control , 2001, IEEE Trans. Autom. Control..

[13]  Jongeun Choi,et al.  Guaranteed Performance State-Feedback Gain-Scheduling Control With Uncertain Scheduling Parameters , 2016 .

[14]  Xiang Chen,et al.  Revisit of LQG Control–A New Paradigm with Recovered Robustness , 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).