Neuro-Fuzzy Controller Design for a Dc Motor Drive (original) (raw)
Related papers
2010
This paper presents a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is ProportionalIntegral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives. Keywords—Proportional-Integral (P-I) controller, IntegralProportiona...
The design of intelligent control systems has become an area of intense research interest. A promising direction in the design of intelligent systems involves the use of Fuzzy Logic Controller (FLC) and Artificial Neural controller (ANC) to discover the abilities of intelligent control systems in utilizing experience via rule-based knowledge. This paper presents the FLC and ANC. Both controllers are designed, implemented and compared in the MATLAB/Simulink model to examine the performance of DC motor with different loads.
Speed Control of DC Motor Using Adaptive Neuro Fuzzy Controller
The aim of this work is to design an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for speed control of Separately Excited Direct Current Motor (SEDM), and the results are compared with PID controller. The mathematical model using dynamic equations of (SEDM) is simulated using MATLAB simulink. The (SEDM) is loaded with different loads. The comparison between (ANFIS) controller performance and the PID controller is presented. The results show the proposed controller has superior feature, including adaptive characteristics which make the controller robust for wide range of loading conditions, also improving the time response of the plant which reduce the rise time, peak time, peak over shoot and settling time.
DC MOTOR SPEED CONTROL ? Part B : Neuro-Fuzzy Design For DC Motor Speed Control
2002
The paper compares fuzzy and neuro-fuzzy designs of a duty-cycle compensation controller used to linearize the nonlinear external characteristics family of a step-down (Buck) or forward DC-DC converter that supplies DC motors. This controller is additionally introduced in high precision speed control systems. Comparison reveals the advantages of neuro-fuzzy controllers upon fuzzy controllers. A discussion on real-time implementation is also taken under consideration.
Speed Control of DC Motor Using Fuzzy Logic Application
2016
Direct current (DC) motors are controlled easily and have very high performance. The speed of the motors could be adjusted within a wide range. Today, classical control techniques (such as Proportional Integral Differential - PID) are very commonly used for speed control purposes. However, it is observed that the classical control techniques do not have an adequate performance in the case of nonlinear systems. Thus, instead, a modern technique is preferred: fuzzy logic. In this paper the control system is modelled using MATLAB/Simulink. Using both PID controller and fuzzy logic techniques, the results are compared for different speed values.