Generally, there exist voltage differences between the voltage commands and the output voltages of the three-phase pulse-width modulated (PWM) voltage-source inverter (VSI), which are caused by the intended dead-time to prevent the armshort of a leg and the nonlinearities of switching devices. These voltage differences (or voltage distortion) affect the current distortion, torque pulsations, an...

Model Reference Adaptive Control (MRAC) is consists of a reference model, a plant model, and adaptive law. It is made to follow the target system to the reference model by fixed gain. As study example, Yang developed an adaptive control for SISO state space system[1]. Yang’s method[1] was not discussed about the performance of the reference model. MRAC depends on performance of the reference mo...

In this paper model reference adaptive based fuzzy controller is presented .Model reference adaptive controller is very common approach to control linear systems, as it is simple to apply. However, the performance of the linear model reference adaptive control weakens up when the system becomes nonlinear. In this paper, the MRAFC has fast learning features and it has good tracking results even ...

Over the few last years the idea of introducing fractional calculus and systems in adaptive control has found a great interest, for the benefit one can win in the performances given by such systems. In adaptive control, the dynamic behavior of the system is defined by a chosen reference model and an adaptation algorithm modifies the correction to minimize the process output error. In this work,...

This article presents a detailed analysis and comparative performance evaluation of model reference adaptive control systems. In contrast to classical control theory, adaptive control methods allow to deal with time-variant processes. Inspired by the works [1] and [2], two methods based on the MIT rule and Lyapunov rule are applied to a linear first order system. The system is simulated and it ...

Accurate and correct performance of controller in cruise control systems is important. Hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. As a matter of fact, in this article three approaches have been conducted to-ward this purpose: MIT, direct estimation and indirect estimation. These approaches are used as controllers to track refe...