Nonlinear Adaptive Robust Control for Thyristor Controlled Series Compensation

The backstepping design methodology of the nonlinear control theory is known to provide an efficient controller constructive tool for a wide range of systems engineering applications. Based on the nonlinear second-order model of single machine to infinite bus system employing thyristor controlled series compensation, a novel nonlinear adaptive robust controller is proposed by combining the backstepping method with Nussbaum gain function. The constant parameter uncertainty and the exogenous disturbances of the system are taken into consideration together in control design procedure, thus not only can the derived adaptive robust controller and parameter update law guarantee the closed-loop system globally uniformly ultimate bound, but also the desired performance can be achieved by an appropriate choice of design parameters. Simulation results demonstrate that the derived adaptive nonlinear controller owns superior robustness and adaptability.

[1]  R. R. Mohler,et al.  Bilinear generalized predictive control using the thyristor-controlled series-capacitor , 1994 .

[2]  S. Ge,et al.  Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[3]  Yuan-Yih Hsu,et al.  Design of an output feedback variable structure thyristor-controlled series compensator for improving power system stability , 1998 .

[4]  R. Nussbaum Some remarks on a conjecture in parameter adaptive control , 1983 .

[5]  K. M. Son,et al.  On the robust LQG control of TCSC for damping power system oscillations , 2000 .

[6]  Qiang Alex Zhao,et al.  A TCSC damping controller design using robust control theory , 1998 .

[7]  X. Ye,et al.  Adaptive nonlinear design without a priori knowledge of control directions , 1998, IEEE Trans. Autom. Control..

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

[9]  Jing Wang,et al.  Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems , 2002, IEEE Trans. Neural Networks.

[10]  Joe H. Chow,et al.  A robust frequency domain optimization technique for tuning series compensation damping controllers , 1995 .

[11]  Udaya Annakkage,et al.  Controlled series compensation for improving the stability of multi-machine power systems , 1995 .

[12]  X. X. Zhou,et al.  Nonlinear adaptive control of TCSC to improve the performance of power systems , 1999 .

[13]  Shuzhi Sam Ge,et al.  Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  Georgi M. Dimirovski,et al.  Categories in systems and control theory , 1977 .

[15]  Yong Tang,et al.  Neural network αth-order inverse control of thyristor controlled series compensator , 1998 .