Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control

Abstract

Abstract. This paper presents the conventional performance of the model reference adaptive control (MRAC) and the model reference fuzzy adaptive control (MRFAC). The aims of this work are: a) increasing in correspondence of motor speed with defined reference model speed of the system, b) decreasing of noises under load changes and disturbances, and c) increasing of system stability. Thus, model reference adaptive control is applied instead of non-adaptive or conventional control. Also fuzzy controller is used in place of classic controllers like PI controller. The operation of non-adaptive control and the model reference of fuzzy and conventional adaptive control are studied for derive and adjustment of dc motor speed. Then they are compared with each other. The model reference and fuzzy controller are designed based on securing of the entire system stability. Simulation is done with constant and variable loads. The result obtained shows that the adaptive control is more favorite than non-adaptive control. Also fuzzy adaptive control is more satisfactory than conventional adaptive control. The simulations are carried out by using Matlab-Simulink. Keywords

A Real-time Comparative Study of Sliding Mode and State Feedback Control for the Centrifugal Motor Pump in an Ultraviolet Water Treatment System Using the Bond Graph Approach

“…These properties allow us to confirm the relevance of using the sliding mode where we must control the water flow (in order to guarantee the best water quality according to the available energy). In order to validate the choice of a robust control, we checked the robustness of the regulator by comparing it to a proportional regulator in speed control, after changing the system parameters [11,12,16,17].…”