Journal of Electrical Engineering and Technology

  • 제13권1호
  • /
  • Pages.451-459
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  • 2018
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Design of Fuzzy Logic Tuned PID Controller for Electric Vehicle based on IPMSM Using Flux-weakening

  • Rohan, Ali (School of Electronics and Information Engineering, Kunsan National University) ;
  • Asghar, Furqan (Dept. of Electrical and Electronic Engineering, Kunsan National University) ;
  • Kim, Sung Ho (Dept. of Electrical and Electronic Engineering, Kunsan National University)
  • 투고 : 2017.04.06
  • 심사 : 2017.08.14
  • 발행 : 2018.01.01
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초록

This work presents an approach for modeling of electric vehicle considering the vehicle dynamics, drive train, rotational wheel and load dynamics. The system is composed of IPMSM (Interior Permanent Magnet Synchronous Motor) coupled with the wheels through a drive train. Generally, IPMSM is controlled by ordinary PID controllers. Performance of the ordinary PID controller is not satisfactory owing to the difficulties of optimal gain selections. To overcome this problem, a new type of fuzzy logic gain tuner for PID controllers of IPMSM is required. Therefore, in this paper fuzzy logic based gain tuning method for PID controller is proposed and compared with some previous control techniques for the better performance of electric vehicle with an optimal balance of acceleration, speed, travelling range, improved controller quality and response. The model was developed in MATLAB/Simulink, simulations were carried out and results were observed. The simulation results have proved that the proposed control system works well to remove the transient oscillations and assure better system response in all conditions.

키워드

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Fig. 1 Block diagram of an electric vehicle

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Fig. 2 Transmission system

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Fig. 3 Control system block diagram

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Fig. 4. Block diagram of PI controller

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Fig. 5. Block diagram of fuzzy PI controller

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Fig. 6. Membership functions: (a) Input membershipfunctions, error

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Fig. 7. Type 3 speed controller: adaptive Fuzzy PIDcontroller

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Fig. 8. Membership functions: (a) Input membershipfunctions error

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Fig. 9. Simulink model of proposed system

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Fig. 10. Simulink representation of controllers: (a) Type 1; (b) Type 2; (c) Type 3; (d) Vector control or current controller

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Fig. 11. Simulink representation of the transmission system

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Fig. 12. Output response of type 1, type 2, type 3 controller

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Fig. 13. ld,lq and vd, vq response for proposed controller

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Fig. 14. Three phase current of IPMSM

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Fig. 15. Controller output for

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Fig. 16. Output response for NEDC

Table 1. Rule base for

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Table 2. Rule Base for

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Table 3. Rule base used for

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Table 4. Rule base used for

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Table 5. Rule base used for

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Table 6. Parametersshow that the proposed type 3 controller tracks the speed

E1EEFQ_2018_v13n1_451_t0006.png 이미지

참고문헌

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