tcsc robust controller by nonlinear quantitative feedback theory

Robust Controller Design using Quantitative Feedback Theory (QFT)

Most of the practical systems are characterized by high uncertainty which makes it difficult to maintain good stability margins and performance properties for closed loop system. In case of conventional control, if plant parameter changes we cannot assure about the system performance hence it is necessary to design robust control for uncertain plant. Among the various strategies proposed to tac...

Design of robust controller by neuro-fuzzy system in a prescribed region via state feedback

In this paper, first a new algorithm for pole assignment of closed-loop multi-variable controllable systems in a prescribed region of the z-plane is presented. Then, robust state feedback controllers are designed by implementing a neural fuzzy system for the placement of closed-loop poles of a controllable system in a prescribed region in the left-hand side of z-plane. A new method based on the...

Quantitative Feedback Theory based Controller Design of an Unstable System

This paper represents the design of a Quantitative Feedback Theory (QFT) based controller for an unstable system with some desired performance specifications [1]. Here a controller and prefilter has been designed so that the given performance specifications like robust stability and robust tracking criterions can be achieved. In order to implement that, different algorithms have been used and t...

Robust Controller Synthesisvia Nonlinear Matrix

Robust H∞ Stabilization of a Nonlinear Uncertain System via a Stable Nonlinear Output Feedback Controller

H ∞ control problem using a stable nonlinear output feedback controller is presented in this paper. The particular class of nonlinear uncertain systems being considered is characterized in terms of Integral Quadratic Constraints and Global Lipschitz Conditions describing the admissible uncertainty and nonlinearity, respectively. The nonlinear controller is then constructed by including a copy o...

Robust Nonlinear Feedback Design via Quantifier Elimination Theory

In this paper symbolic-computation methods are used to design simple, fixed-structure, robust controllers for nonlinear systems. Design specifications are reduced to logically quantified polynomial inequalities. The quantifier-elimination (QE) software package QEPCAD is used to eliminate quantifiers on state and plant parameters, to obtain regions of admissible controller parameters, and to gua...