Robust decoupling control of BTT vehicle based on PSO

A robust decoupling control method for BTT vehicle based on particle swarm optimisation (PSO) is proposed. According to the vehicle's characteristics such as nonlinearity, strong coupling and MIMO, firstly, the reason of the coupling between channels is analysed from the construct of BTT vehicle's mathematical model. Next, Gershgorin circle is adopted to analyse the diagonal dominance of this system. Furthermore, a robust decoupling matrix of the linearised models is obtained by using PSO, which makes the system fulfilled the diagonal dominance. Finally, quantitative feedback theory (QFT) is used to design the controller and the final results of the simulation show that this robust decoupling controller is effective and practical for engineering application.

[1]  Peter Putz,et al.  Robust Nyquist array methodology : a new theoretical framework for analysis and design of robust multivariable feedback systems , 1984 .

[2]  I. Horowitz Survey of quantitative feedback theory (QFT) , 2001 .

[3]  Wei Zhang,et al.  Analytical design of two degree-of-freedom decoupling control scheme for two-by-two systems with integrator(s) , 2007 .

[4]  Kong YaGuang,et al.  Decoupling Control Of Multivariable System Based On Adjoint MatrixP , 2006, 2006 1ST IEEE Conference on Industrial Electronics and Applications.

[5]  H. H. Rosenbrock,et al.  Computer Aided Control System Design , 1974, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  H. Rosenbrock Design of multivariable control systems using the inverse Nyquist array , 1969 .

[7]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[8]  Wenbo Xu,et al.  Particle swarm optimization with particles having quantum behavior , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[9]  Isaac Horowitz,et al.  Quantitative Feedback Theory (QFT) , 1988, 1988 American Control Conference.

[10]  Yongji Wang,et al.  LMI Based Tracking Guaranteed Cost Control , 2006, 2006 International Conference on Mechatronics and Automation.

[11]  Xin Zhan-hong Particle Swarm Optimization Based on a Two-Stage Strategy , 2007 .

[12]  Lijun Zhao,et al.  Robust Controller Design for Autopilot of a BTT Missile , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[13]  D. J. Hawkins 'Pseudodiagonalisation' and the inverse-Nyquist array method , 1972 .

[14]  Gao Hai General Particle Swarm Optimization Model , 2005 .

[15]  M. Gil-Martinez,et al.  Analytical formulation to compute QFT templates for plants with a high number of uncertain parameters , 2007, 2007 Mediterranean Conference on Control & Automation.

[16]  Huang Ya Missile’s Dynamical Modeling and BTT Decoupling Control , 2006 .

[17]  Wang Xin An Optimal Decoupling Method of Attitude Control for Launch Vehicle , 2006 .

[18]  Keding Zhao,et al.  QFT robust control of hydraulic driven stewart platform using dynamics real-time compensation , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[19]  Tong Chunxia,et al.  Decoupling System Design Based on Variable Structure System for BTT Missile , 2006 .