Fuzzy-logic-based speed control of a shunt DC motor

Saneifard, S.; Prasad, Nadipuram R.; Smolleck, H.A.; Wakileh, J.J.

doi:10.1109/13.669726

Cited by 19 publications

(6 citation statements)

References 3 publications

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“…Similarly we can rewrite equation (3) as J.dȦ r / dt = T m -bȦ r -T L Using equation (3) in (2), we get J.dȦ r / dt = K t K f i a i f -bȦ r -T L (5) Combining equations (2), (4) and (5), we obtain the motor model in Simulink as shown in Fig.1. As mentioned above, fuzzy logic control is one of the most successful applications of the fuzzy set theory.…”

Section: Motor Modelmentioning

confidence: 98%

PI-Fuzzy rule based controller for Analysis and performance evaluation of dc motor speed control

Dutta

Borkakati

O’Donnell

et al. 2014

The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2014

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This paper presents a proportional-integral (PI) Fuzzy rule based controller using Matlab for speed control of a dc motor. Also an analysis and performance evaluation of the proposed controller design has been carried out and presented in this paper. The fuzzy logic controller is designed using Fuzzy logic toolbox in Matlab, A mathematical model based on fundamental equations governing the operation of a dc motor has been obtained and used to design the motor model in Matlab Simulink. The simulation results of the PI-Fuzzy controller show control potentialities.

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Section: Motor Modelmentioning

confidence: 98%

PI-Fuzzy rule based controller for Analysis and performance evaluation of dc motor speed control

Dutta

Borkakati

O’Donnell

et al. 2014

The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2014

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“…The singleton form in the output membership function is chosen due to its simplicity in solving the crisp output during the defuzzification. Centroid method is used in the defuzzification process for the fact that previous researchers reported that centroid can provide superior control performance [9,10]. III.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

A PLC-based self-tuning PI-fuzzy controller for linear and non-linear drives control

Arrofiq

Saad

2008

2008 IEEE 2nd International Power and Energy Conference

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This paper presents the design, implementation and analysis of a PLC-based self-tuning PI-fuzzy controller for linear and non-linear drives control. The controller consists of two fuzzy logic blocks, main and gain tuning, respectively. The main fuzzy block acts as a speed controller, while the gain tuning block scales the output of main fuzzy. The output gain tuning has the same inputs as main fuzzy (i.e. speed error and change of error). By introducing output gain tuning, overshoot and settling time can be restrained. The objective of the controller is to provide stability, to reduce overshoot in responds to disturbance and sudden change in reference speed. The performance is compared to PI-fuzzy controller through simulation and experiment. Results of the proposed system show satisfactory performance.

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“…The students are provided the following set of equations to work with: n e r e f a S S S ct (7) n p e P K S (8) n i e I I K S (9) dutyRatio P I (10) where, S e n = Current Speed Error, S ref = Reference Speed, S act = Actual Speed, P = Proportional Control Factor, I = Integral Control Factor, K p = Proportion Gain, K i = Integral Gain.…”

Section: Activity 3: P-and Pi-control Of Motor Speedmentioning

confidence: 99%

A project based approach to teach mixed-signal embedded microcontroller for DC motor control

Gupta

Mukhopadhyay

Tin

2006

Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)

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A project based approach has been adopted to teach matlab/simulink based controller design, mixed signal embedded microcontroller (SiLab C8051F020) based implementation of the controller for DC motor speed control project, the laboratory part of the subject 143.335 Instrumentation, Electronics and Control Engineering at Massey University, New Zealand. The students developed a Matlab/Simulink based model to study the theoretical part of the controller design. The microcontroller based PID controller implementation was divided into five activities and each activity was assessed at regular intervals. The student feedback has been collected, the survey of which shows that the objectives were successfully met. Reference Speed (RPM) ----> Error Speed (RPM) ---->Kp = 0.1 Kp = 0.25 Kp = 0.5 Kp = 0.75 Proceedings of the Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06) 0-7695-2500-8/05 $20.00 © 2005 IEEE

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Fuzzy-logic-based speed control of a shunt DC motor

Cited by 19 publications

References 3 publications

PI-Fuzzy rule based controller for Analysis and performance evaluation of dc motor speed control

PI-Fuzzy rule based controller for Analysis and performance evaluation of dc motor speed control

A PLC-based self-tuning PI-fuzzy controller for linear and non-linear drives control

A project based approach to teach mixed-signal embedded microcontroller for DC motor control

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