Fuzzy model reference adaptive control of velocity servo system

Abstract

The Implementation of fuzzy model reference adaptive control of a velocity servo system is analysed in this paper. Designing the model reference adaptive control (MRAC) and the problem of choosing adaptation gain is considered. Tuning the adaptation gain by fuzzy logic subsystem and a simple synthesis procedure of fuzzy MRAC are proposed. Several simulation runs show the advantages of fuzzy MRAC approach. Experimental validation on laboratory speed servo is realized by the acquisition system. The results confirm benefits of the proposed controller in comparison with the standard MRAC. [Projekat Ministarstva nauke Republike Srbije, br. II44004]

Finite‐time sliding mode stabilization using dirty differentiation and disturbance compensation

“…Thus, by applying Theorem 2, the finite-time stability of the closed-loop system in question is established. In order to establish (34), it suffices to substitute (25) and (27) into (29) for arriving aṫ…”

“…Clearly, those algorithms turn out to be inapplicable in practical situations where the amplitude of disturbances is not known a priori or growing in time. One may refer, eg, to other works, where arbitrarily large disturbances were motivated for different electromechanical systems such as wind turbine, DC, motor and quadrotor, affected by a wide range of the wind speed magnitude, linearly growing load torque, and linear growing wind disturbance, accordingly.…”

Real-time implementation of an enhanced nonlinear PID controller based on harmony search for one-stage servomechanism system

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Implementation of Self-Tuning Fuzzy Pid Control Applied on Brushless Dc Motor

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