Modelling and robust stabilisation of a closed-link 2-dof inverted pendulum with gain scheduled control

In this paper, modelling and stabilisation control of a closed-link driven 2-dof inverted pendulum system is discussed, which consists of two rotary robots and four closed linkages with holonomic constraint. A complete mathematical model derived by Lagrange's equations is partially linear approximated around the operating point. Then, the modelling error is regarded as a structured perturbation and the controlled object is described as a slight non-linear model with structured additive perturbation. In order to facilitate a controller design, model reduction is performed by removing redundant dynamics. Then, the reduced order simplified model is described as a linear parameter variable (LPV) system with structured additive perturbation. Stabilisation controller with L2-gain disturbance attenuation is designed to guarantee the stability of the controlled object robustly in the range of specified perturbation by applying gain scheduling control technique developed for the LPV system. Experimental works show the effectiveness of the proposed simplified model and the stabilisation controller.

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

[2]  P. Gahinet,et al.  Affine parameter-dependent Lyapunov functions and real parametric uncertainty , 1996, IEEE Trans. Autom. Control..

[3]  Koichi Osuka,et al.  Two-Stage Robust Model Following Control for Robot Manipulators , 1988, 1988 American Control Conference.

[4]  Yu Yao,et al.  H∞ control with regional stability constraints for high-speed sampling uncertain systems , 2006, Int. J. Model. Identif. Control..

[5]  Hamid Reza Shaker,et al.  Accuracy and efficiency enhanced nonlinear model order reduction , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[6]  Tetsuya Iwasaki,et al.  All controllers for the general H∞ control problem: LMI existence conditions and state space formulas , 1994, Autom..

[7]  Pierre Apkarian,et al.  Self-scheduled H∞ control of linear parameter-varying systems: a design example , 1995, Autom..

[8]  E. Feron,et al.  Analysis and synthesis of robust control systems via parameter-dependent Lyapunov functions , 1996, IEEE Trans. Autom. Control..

[9]  Naomi Ehrich Leonard,et al.  Controlled Lagrangians and the stabilization of mechanical systems. I. The first matching theorem , 2000, IEEE Trans. Autom. Control..

[10]  Wojciech Blajer A Projection Method Approach to Constrained Dynamic Analysis , 1992 .

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

[12]  T. Hoshino,et al.  Modeling and simulation of mechanical systems - combination of a symbolic computation tool and M/sub A/TX , 1999, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).

[13]  Yu Yao,et al.  Non-linear robust control with partial inverse dynamic compensation for a Stewart platform manipulator , 2006, Int. J. Model. Identif. Control..

[14]  Zexiang Li,et al.  Stabilization of a 2-DOF spherical pendulum on X-Y table , 2000, Proceedings of the 2000. IEEE International Conference on Control Applications. Conference Proceedings (Cat. No.00CH37162).