Multi-objective static output feedback control for vehicle active suspension

This paper presents an approach to design a multi-objective static output feedback controller for active suspension. In the framework of the multi-objective static output feedback control, in order to obtain a H2/generalized H2 controller which has good disturbance attenuation performance and satisfies time-domain hard constraints, a new hybrid algorithm is proposed by combination of linear matrix inequality (LMI) approach and a hybrid algorithm of the Particle Swarm Optimization (PSO) and Differential Evolution (DE). The proposed algorithm is used to solve an optimization problem with bilinear matrix inequality (BMI) constraints. The PSO-DE hybrid algorithm was used to obtain a population of controllers, and LMI optimization was used to optimize a performance criterion of the system. Analysis and simulation results show that the proposed approach can improve the riding comfort and handling stability of vehicles.

[1]  Haiping Du,et al.  Designing H ∞/GH 2 static-output feedback controller for vehicle suspensions using linear matrix inequalities and genetic algorithms , 2008 .

[2]  Hong Chen,et al.  Constrained Control of Active Suspensions: An LMI Approach , 2005 .

[3]  Carsten W. Scherer,et al.  Multi-Objective Output-Feedback Control via LMI Optimization , 1996 .

[4]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[5]  Li-Xin Guo,et al.  Robust H ∞ control of active vehicle suspension under non-stationary running , 2012 .

[6]  James Lam,et al.  Static Output Feedback Stabilization: An ILMI Approach , 1998, Autom..

[7]  D. Hrovat,et al.  Survey of Advanced Suspension Developments and Related Optimal Control Applications, , 1997, Autom..

[8]  Ramin Amirifar,et al.  Low-order H/sub /spl infin// controller design for an active suspension system via LMIs , 2006, IEEE Transactions on Industrial Electronics.

[9]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

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

[11]  E. Yaz.  Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[12]  Semiha Turkay,et al.  Influence of tire damping on mixed H2/H∞ synthesis of half-car active suspensions , 2009 .

[13]  Michael G. Epitropakis,et al.  Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution , 2010, IEEE Congress on Evolutionary Computation.

[14]  Huai-Ning Wu,et al.  An ILMI approach to robust I static output feedback fuzzy control for uncertain discrete-time nonlinear systems , 2008, Autom..

[15]  Konghui Guo,et al.  Constrained H/sub /spl infin// control of active suspensions: an LMI approach , 2005, IEEE Transactions on Control Systems Technology.