Adaptive Inverse Control of Excitation System with Actuator Uncertainty

Abstract

In this paper, we present a new approach of designing adaptive inverse controller for synchronous generator excitation system containing nonsmooth nonlinearities in actuator device. The proposed controller considers not only the dynamics of generator but also nonlinearities in actuator. To address such a challenge, support vector machines (SVM) is adopted to identify the plant and to construct the inverse controller. SVM networks, used to compensate nonlinearities in synchronous generator as well as in actuator, are adjusted online by an adaptive law via back propagation (BP) algorithm. To guarantee convergence and for fast learning, adaptive learning rate and convergence theorem are developed. Simulation results are given, showing satisfactory control performance and illustrate the potential of the proposed adaptive inverse controller as useful for practical purpose.

RBF networks-based adaptive approximate model controller for steam valving control

“…which is the half of the upper limit in (26) [13]. This shows an interesting result that any other learning rate larger than g * does not guarantee the faster convergence.…”

“…From (13), the control law can be determined directly since the increment of the control signal DuðkÞ appears linearly, then the control law can be determined directly from (13) as:…”

“…The weights can now be adjusted following a gradient method as [13] Hidden layer Output layer Fig. 2 The structure of RBF networks…”

Simplified Deployment of Robust Real-Time Systems Using Multiple Model and Process Characteristic Architecture-Based Process Solutions

“…Various papers and researches target the inverse model control approach; a few of these can be mentioned: (Tao & Kokotovic, 1996;Yuan et al, 2007) etc. In these researches there have been proposed several types of structures based on the inverse model.…”

Research of Variable Structure Inverse System Method for Turbo-generator Valve Control

“…In recent years, more advanced control methods have been used in valve control of the generator. Such as nonlinear optimal control [ 1 ], nonlinear variable structure control [2,3], nonlinear adaptive control [4], and non-linear inverse system method [5,6] etc. Nonlinear optimal control of turbo-generator system exactly linearizes the nonlinear model based on differential geometry theory firstly, and then optimal control is used to design controller.…”