Papers by Keyword: Robust Controller

Abstract: According to pipe racking system exist nonlinear characteristics and in order to get smooth velocity of the racking in moving process. This paper structures a new kind of fuzzy neural network PID which identifies the target model and also provides a non-linear relation model for dynamic programming. In addition, by adopting robust feedback controller, the stability of the closed-loop system and satisfactory control results in initial stage of fuzzy neural network learning are also guaranteed. And we analyze the error response curve of sine signal tracking, the experimental results show that the improved fuzzy neural network PID controller has a higher control performance. The control method has fast response speed, less overshoot and error, strong robust and can meet the requirements of the nonlinear system.

Abstract: This document explains how to design a robust controller for the uncertain model of the ship dynamic positioning based on mixed sensitivity, which include environmental excitations. The computer simulation shows that it validated that the robust control system has a good performance.

Abstract: In this paper the problem of robust stability and stabilization of a class of uncertain singular Systems with uncertainties in both the derivative and state matrices is studied. By using a parameter dependent Lyapunov function, we derive the linear matrix inequalities (LMIs) based sufficient conditions for the stability and stabilization of the system. By solving these LMIs, the robust controller is derived. Finally, the numerical example is given to show the effectiveness of the proposed theorems.

Abstract: Highly maneuverable aircraft has redundant electrohydraulic actuators that generate the forces to drive the aircraft control surfaces. Two problems are important in these actuators. First, during reconfiguration of the actuator channels the hydraulic system works in the full range of its parameters. It leads to strongly nonlinear models of the redundant servo. Second, the frequency bandwidth of elements, which are located in the feedback loop of the servo, should be as wide as possible. Therefore, it is necessary to choose proper control method for actuator, where the controller of control system adjusts the set point signal. The advanced control methods can ensure the new quality of the systems. The new, advanced methods can cope with such problem in practical applications. There are available: adaptive methods, predictive methods, etc. and first of all, the robust control methods. These methods are robust on external disturbance. The causes of disturbances are very different: the inaccuracy in the mathematical and simulation model, the change of the operation point, the weather and temperature conditions, etc. We have designed such models in the Matlab/Simulink environment and we divided the full actuator into small subsystems.