Name: Group: SYS 5 Your Name(s): Yogesh Kumar Singla and Varun Varun Project Title: Intelligent Control Systems and Performance Analysis of PMDC Motor Drives using Simulink. Research Article referred: S.Titus, R.Pandiyan (2014) "Intelligent Control Systems and
Uploaded: 2023-03-09
Duration: 2 min 46 s
Description: Group: SYS 5 Your Name(s): Yogesh Kumar Singla and Varun Varun Project Title: Intelligent Control Systems and Performance Analysis of PMDC Motor Drives using Simulink. Research Article referred: S.Titus, R.Pandiyan (2014) “Intelligent Control Systems and Performance Analysis of PMDC Motor Drives”, AMSE Journal, Advances C, Vol. 69, pp-69-84..

Group: SYS 5 Your Name(s): Yogesh Kumar Singla and Varun Varun Project Title: Intelligent Control Systems and Performance Analysis of PMDC Motor Drives using Simulink. Research Article referred: S.Titus, R.Pandiyan (2014) “Intelligent Control Systems and Performance Analysis of PMDC Motor Drives”, AMSE Journal, Advances C, Vol. 69, pp-69-84.. 

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Group: SYS 5 Your Name(s): Yogesh Kumar Singla and Varun  Varun Project Title: Intelligent Control Systems and Performance Analysis of PMDC Motor Drives using Simulink. Research Article referred:  S.Titus, R.Pandiyan (2014) “Intelligent Control Systems and Performance Analysis  of  PMDC Motor Drives”, AMSE Journal, Advances C, Vol. 69, pp-69-84.

Objectives The objective of our project is to design and simulate the PMDC motor speed control system using PI, PID and fuzzy logic controller and compare their results to find the most efficient controller. In this project, PI, PID and Fuzzy-PD are implemented to infer and calculate the speed and system error. On the basis of steady state response, the performance of the system with various types of controllers is investigated. The metrics based on error outcome of IAE (Integral Absolute Error), ITAE (Integral Time Absolute Error) and ITSE (Integral Time Square Error) of the above controllers are calculated.

Conceptual Analysis and Design. out. T product 1. 

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PMDC motor is widely used  to determine the speed  and position control under variable loads. DC drives are used to control the speed of DC motor efficiently. There are multiple controlling techniques for motor drive like PI and PID controller. DC motor needs high control requirements due to which conventional controllers were less efficient. To overcome this intelligent fuzzy-PD controller is used in our project to improve the system performance .

z -zz9. Fig.3: PMDC motor with PID controller. out. T Se peed Subtract I lul Log i C Controller Gain 2 8.75e+05 FUZZY-ITSE 1.323e+05 FUZZY-ITAE 1 340 FUZZY-IAE den(s) Speed 1 _ 502. 

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out. T
Se peed
Subtract I
lul
Log i C
Controller
Gain 2
8.75e+05
FUZZY-ITSE
1.323e+05
FUZZY-ITAE
1 340
FUZZY-IAE
den(s)
Speed
1 _ 502

Fig.4: PMDC motor with fuzzy-PD controller

Literature Review. [1] I. Eminolu and .H. Alts, “A method to form fuzzy logic control rules for a PMDC motor drive system,” Electric Power Systems Research, vol. 39, no. 2, pp. 81–87, Nov. 1996, doi : 10.1016/S0378-7796(96)01089-9. This journal article discusses about the approach and method used to generate and formulate fuzzy rules decision table used while designing a fuzzy logic-based controller. The proposed method is based on the “comparison of possible transient responses of the system output and the desired set point”. The concept of fuzzy logic controller and how its if-then rules can be defined for complex systems without their mathematical models are discussed in this paper. [2] G. R. Murugananth and S. Vijayan , “Development of fuzzy controlled chopper drive for permanent magnet DC motor,” Journal of Vibration and Control, vol. 21, no. 3, pp. 555–562, Feb. 2015, doi : 10.1177/1077546313490184. This journal article discusses about the fuzzy logic-based controller used in a chopper drive, to control the speed of PMDC motor used in “orthopedic surgical simulators”. The authors have effectively explained the mathematical model, background study, generation of the fuzzy rules and its variables and have analyzed the performance of FLC based control system to be better than the conventional in terms of transient and steady state response.. 

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[1] I.  Eminolu  and .H. Alts, “A method to form fuzzy logic control rules for a PMDC motor drive system,” Electric Power Systems Research, vol. 39, no. 2, pp. 81–87, Nov. 1996,  doi : 10.1016/S0378-7796(96)01089-9.   This journal article discusses about the approach and method used to generate and formulate fuzzy rules decision table used while designing a fuzzy logic-based controller. The proposed method is based on the “comparison of possible transient responses of the system output and the desired set point”. The concept of fuzzy logic controller and how its if-then rules can be defined for complex systems without their mathematical models are discussed in this paper. [2] G. R.  Murugananth  and S.  Vijayan , “Development of fuzzy controlled chopper drive for permanent magnet DC motor,” Journal of Vibration and Control, vol. 21, no. 3, pp. 555–562, Feb. 2015,  doi : 10.1177/1077546313490184.    This journal article discusses about the fuzzy logic-based controller used in a chopper drive, to control the speed of PMDC motor used in “orthopedic surgical simulators”. The authors have effectively explained the mathematical model, background study, generation of the fuzzy rules and its variables and have analyzed the performance of FLC based control system to be better than the conventional in terms of transient and steady state response.

Simulation Progress and Results. We have implemented the PMDC motor using PI and PID controller successfully and got the desired result. While implementing fuzzy controller, we faced challenges in getting the desired response. Our goal now, is to implement the fuzzy logic controller by properly defining its rule and output variable relation so that its error metrics and performance metrics becomes better than the other two controllers.. 

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We have implemented the PMDC motor using PI and PID controller successfully and got the desired result. While implementing fuzzy controller, we faced challenges in getting the desired response. Our goal now, is to implement the fuzzy logic controller by properly defining its rule and output variable relation so that its error metrics and performance metrics becomes better than the other two controllers.

Fig.5: Comparison output graph of 3 controllers

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Group: SYS 5
Your Name(s): Yogesh Kumar Singla and Varun Varun
Project Title: Intelligent Control Systems and Performance Analysis of PMDC Motor Drives using Simulink.

Research Article referred: S.Titus, R.Pandiyan (2014) "Intelligent Control Systems and