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Real-Time Processor-in-Loop Investigation of a Modified Non-Linear State Observer Using Sliding Modes for Speed Sensorless Induction Motor Drive in Electric Vehicles

Author

Listed:
  • Mohan Krishna Srinivasan

    (Department of Electrical and Electronics Engineering, Alliance College of Engineering and Design, Alliance University, Bangalore 562 106, India)

  • Febin Daya John Lionel

    (SELECT, Vellore Institute of Technology, Chennai 600127, India)

  • Umashankar Subramaniam

    (Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia)

  • Frede Blaabjerg

    (CORPE, Department of Energy Technology, Aalborg University, 9000 Aalborg, Denmark)

  • Rajvikram Madurai Elavarasan

    (Electrical and Automotive parts Manufacturing unit, AA Industries, Chennai 600123, India)

  • G. M. Shafiullah

    (Discipline of Engineering and Energy, Murdoch University, Murdoch 6150, Australia)

  • Irfan Khan

    (Marine Engineering Technology Department in a joint appointment with Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA)

  • Sanjeevikumar Padmanaban

    (Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark)

Abstract

Tracking performance and stability play a major role in observer design for speed estimation purpose in motor drives used in vehicles. It is all the more prevalent at lower speed ranges. There was a need to have a tradeoff between these parameters ensuring the speed bandwidth remains as wide as possible. This work demonstrates an improved static and dynamic performance of a sliding mode state observer used for speed sensorless 3 phase induction motor drive employed in electric vehicles (EVs). The estimated torque is treated as a model disturbance and integrated into the state observer while the error is constrained in the sliding hyperplane. Two state observers with different disturbance handling mechanisms have been designed. Depending on, how they reject disturbances, based on their structure, their performance is studied and analyzed with respect to speed bandwidth, tracking and disturbance handling capability. The proposed observer with superior disturbance handling capabilities is able to provide a wider speed range, which is a main issue in EV. Here, a new dimension of model based design strategy is employed namely the Processor-in-Loop. The concept is validated in a real-time model based design test bench powered by RT-lab. The plant and the controller are built in a Simulink environment and made compatible with real-time blocksets and the system is executed in real-time targets OP4500/OP5600 (Opal-RT). Additionally, the Processor-in-Loop hardware verification is performed by using two adapters, which are used to loop-back analog and digital input and outputs. It is done to include a real-world signal routing between the plant and the controller thereby, ensuring a real-time interaction between the plant and the controller. Results validated portray better disturbance handling, steady state and a dynamic tracking profile, higher speed bandwidth and lesser torque pulsations compared to the conventional observer.

Suggested Citation

  • Mohan Krishna Srinivasan & Febin Daya John Lionel & Umashankar Subramaniam & Frede Blaabjerg & Rajvikram Madurai Elavarasan & G. M. Shafiullah & Irfan Khan & Sanjeevikumar Padmanaban, 2020. "Real-Time Processor-in-Loop Investigation of a Modified Non-Linear State Observer Using Sliding Modes for Speed Sensorless Induction Motor Drive in Electric Vehicles," Energies, MDPI, vol. 13(16), pages 1-22, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4212-:d:399090
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    References listed on IDEAS

    as
    1. Jing Tang & Yongheng Yang & Frede Blaabjerg & Jie Chen & Lijun Diao & Zhigang Liu, 2018. "Parameter Identification of Inverter-Fed Induction Motors: A Review," Energies, MDPI, vol. 11(9), pages 1-21, August.
    2. Mohan Krishna S. & Febin Daya J.L. & Sanjeevikumar Padmanaban & Lucian Mihet-Popa, 2017. "Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications," Energies, MDPI, vol. 10(8), pages 1-23, July.
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