Nonlinear adaptive decentralized stabilizing control of multimachine systems

This work develops a design approach to a nonlinear adaptive control system with unknown parameters and applies it to the excitation control of power systems. The adaptive control strategy is formed by an adaptive backstepping way without involving transformation of linearization. The characteristic of the controller is that which involves a dynamic estimator of parameters. A general expression of nonlinear adaptive decentralized excitation control strategy for multimachine systems is acquired, in which all of the feedback variables are local measurements. Simulation results on a 6-machine, 22-bus system manifest the validity of the nonlinear adaptive controllers.

[1]  Qiang Lu,et al.  Decentralized nonlinear optimal excitation control , 1996 .

[2]  Miroslav Krstic,et al.  Nonlinear and adaptive control de-sign , 1995 .

[3]  Qiang Lu,et al.  Design of nonlinear robust excitation control for multimachine power systems , 1996 .

[4]  David J. Hill,et al.  Transient stability enhancement and voltage regulation of power systems , 1993 .

[5]  R.A. Freeman,et al.  Tools and procedures for robust control of nonlinear systems , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[6]  A. Annaswamy,et al.  Adaptive control of nonlinear systems with a triangular structure , 1994, IEEE Trans. Autom. Control..

[7]  Farshad Khorrami,et al.  Robust adaptive control of a class of nonlinear systems: state and output feedback , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[8]  A. Isidori,et al.  Adaptive control of linearizable systems , 1989 .

[9]  Lin Chen,et al.  A nonlinear control design for power systems , 1992, Autom..

[10]  Shengwei Mei,et al.  Nonlinear Control Systems and Power System Dynamics , 2001, The Springer International Series on Asian Studies in Computer and Information Science.