This paper proposes a robust intelligent tracking controller (RITC) for a class of unknown nonlinear systems. The proposed RITC system is comprised of a neural controller and a robust controller. The neural controller is designed to approximate an ideal controller using a proportional–integral–derivative (PID)-type learning algorithm in the sense of Lyapunov function, and the robust controller ...

Robust controllers designed via H∞ Loop Shaping are complicated and are of order higher than that of the plant. It is very difficult to implement these controllers in practical engineering applications. To overcome this problem, Genetic Algorithm is used to approximate a robust PID controller from H∞ Loop Shaping controller so that the difficulties in implementation of higher order controller c...

Real parametric uncertainties in themodal dampingratios and frequencies of  exible structures are represented by complex uncertainties that can lead to robust controller designs satisfying robust performance speciŽ cations. These complex uncertaintyblocksare useful in a1-synthesis controllerdesignprocedure. Twomodels are proposed for modal parameter uncertainties. The Ž rst model uses a coprim...

In this paper, a design method for a robust PI/PID controller for fuzzy parametric uncertain systems is proposed. An uncertain Linear Time Invariant (LTI) system with fuzzy coefficients is referred as fuzzy parametric uncertain system. The fuzzy coefficients are approximated by intervals (crisp sets) using the nearest interval approximation approach to obtain an interval system. Further, a robu...

This paper proposes a novel robust control scheme based on delay-dependent H∞for unified power quality conditioner (UPQC) in a microgrid under the influence of the delay and parameter uncertainties. A new UPQC model considering the effects of the delay and parameter uncertainties is established. Then, the H∞ controller is designed based on the cone complementarity linearization (CCL) algorithm....

A robust self-organizing fuzzy-neural control (RSOFNC) system is proposed in this paper. The RSOFNC system is comprised of a self-structuring fuzzy neural network (SFNN) controller and a robust controller. The SFNN controller is the principal controller and the robust controller is designed to achieve tracking performance. In the SFNN controller design, a SFNN with the asymmetric Gaussian membe...

In this paper particle swarm optimization(PSO)has been applied for the design of the optimal robust controllers for third order systems . The controller design problem is posed as constrained nonlinear optimization problem. The parameters of the chosen controller are obtained solving the nonlinear constrained optimization problem.The performance index which has been used in the design is integr...

Microgrids is an new opportunity to reduce the total costs of power generation and supply the energy demands through small-scale power plants such as wind sources, photo voltaic panels, battery banks, fuel cells, etc. Like any power system in micro grid (MG), an unexpected faults or load shifting leads to frequency oscillations. Hence, this paper employs an adaptive fuzzy P-PID controller for f...

In this study, a robust controller for voltage regulation of the POESLL converter worked in continuous conduction mode is presented. POESLL converter is a DC/DC converter with a high voltage gain. DC/DC converters are used in telecommunication systems, power sources and industrial applications. Owing to the switching operation, the structure of the POESLL converter is highly non-linear. In addi...