Design of fixed order controllers is an open problem which takes controller complexity into account. Different solutions exist in literature for the fixed order controller design problem. However, major difficulty in these results is that they are not simple to develop an algorithm that guarantees the decisive solutions coupled with computations. To overcome this difficulty H∞ loop shaping cont...

The objective of the paper is to design the robust discrete H∞ controller for dc motor position control using Frequency-Domain Robust Controller Design Toolbox. In this paper, the time performance characteristics of 2 and 3 order controller has been compared by taking dc motor as a design example. The paper aims at demonstrating and simple modelling and robust discrete control synthesis strateg...

In this paper, fixed-order robust H∞ controller design for systems with ellipsoidal parametric uncertainty based on parameter dependent Lyapunov functions is studied. Using the concept of Strictly Positive Realness (SPRness) of transfer functions, a fixed-order robust control design method in terms of solution to a set of Linear Matrix Inequalities (LMIs) is proposed. Since, controller paramete...

In this paper, a new method for fixed-order controller design of systems with polytopic uncertainty in their state space representation is proposed. The approach uses the strictly positive realness (SPRness) of some transfer functions, as a tool to decouple the controller parameters and the Lyapunov matrices and represent the stability conditions and the performance criteria by a set of linear ...

In AC-DC power conversion, active front end rectifiers offer several advantages over diode rectifiers such as bidirectional power flow capability, sinusoidal input currents and controllable power factor. A digital finite control set model predictive controller based on fixed-point computations of an active front end rectifier with unity displacement of input voltage and current to improve dynam...

Typically, it is desirable to design a control system that not only robustly stable in the presence of parametric uncertainties but also guarantees an adequate level performance. However, most existing methods need take all extreme models over uncertain domain into consideration, which then results costly computation. Also, since these approaches attempt rather unrealistically guarantee perform...

The aim of this paper is to study the unwanted chaotic oscillation that can severely affect reliable and safe operation electrical power systems. dynamical behavior a benchmark three-bus nonlinear system model explored using modern analysis methods, where Lyapunov exponents spectrum, bifurcation diagram, spectral density bicoherence are used investigate in system. shows existence critical param...

Based on the bifurcation diagram technique, this paper analyses the stabilization conditions of the nonlinear chaotic Genesio-Tesi system with the use of a fractional order control scheme. Stability analysis is performed for the closedloop nonlinear chaotic system behavior, for the fractional order integral and derivative actions by mean of the bifurcation diagram. Numerical simulation examples...

This study develops a fuzzy sliding mode controller (FSMC) based on a variable boundary layer. A fuzzy inference mechanism is used to on-line tune the thickness of the boundary layers of the controller. Minimum rule base has been used for the fuzzy inference system which results in low calculation effort. The aim of this paper is to design a controller which will eliminate the chattering of FSM...