this paper presents a theoretical approach to implementation of the “multi-realization of nonlinear mimo systems”. this method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. in this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...

This paper proposes the concept of three phase ac to ac resonant converter for Induction heater. As compared with basic converters, ac to ac resonant converter has advantages of less components count, low cost, high reliability and better efficiency. A closed loop control structure is proposed in this paper for controlling three phase resonant converter. Finally, this proposed system is experim...

this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...

The main objective of adaptive control schemes is to produces reliable controllers under plant uncertainties, non-linearity and time varying parameters. Adaptation schemes are designed to cope with slow parameter changes; in addition, input signals are assumed to have frequency spectrum restricted to low frequency. In model reference adaptive control (MRAC) schemes, however, perfect model track...

Distributed flexible AC- transmission system (D-FACTS) is a recently advanced FACTS device with high flexibility and smaller size. The DPFC can control power flow in transmission lines, regulate bus voltages and it can also enhance stability margin in power grids. Adaptive-neural network-based fuzzy inference system (ANFIS) combines features of artificial neural network and fuzzy controller. Th...

Adaptive critic (AC) based controllers are typically discrete and/or yield a uniformly ultimately bounded stability result because of the presence of disturbances and unknown approximation errors. A continuous-time AC controller is developed that yields asymptotic tracking of a class of uncertain nonlinear systems with bounded disturbances. The proposed AC-based controller consists of two neura...

To improve the low speed performance of the direct torque control(DTC) system. The advantages of DTC method are combined with the advantages of the matrix converter based on space vector modulation technique. The design process of the neural network controller which generating the flux reference voltage vector and fuzzy controller which applying the torque reference voltage vector were represen...

Abstract This paper proposes a hybrid robust-adaptive learning-based control scheme based on Approximate Dynamic Programming (ADP) for the tracking of autonomous ship maneuvering. We adopt Time-Delay Control (TDC) approach, which is known as simple, practical, model free and roughly robust strategy, combined with an Actor-Critic (ACADP) algorithm adaptive part in proposed algorithm. Based this ...

This article presents a hybrid microgrid configuration with flying capacitor dual-output (FCDO) converter. The output ports of the FCDO converter can directly interface ac sources/loads operating at different amplitudes and frequencies without additional ac/dc/ac units. Compared to conventional configuration, operates multilevel voltages, reduced power conversion stages, less switch count, fewe...