COMPARATIVE ANALYSIS OF VARIOUS CONTROLLERS FOR CRUISE CONTROL OF AN ELECTRICAL VEHICLE DRIVE

Khuban L. Khan,∗ Solihah S. Shiekh,∗ Farzan F. Malik,∗ Tanzeela Mir,∗ Munazah Mushtaq,∗ and Shoeb Hussain∗

References

  1. [1] E. Valsera-Naranjo, A. Sumper, P. Lloret-Gallego, R. Villafafila-Robles, and A. Sudria-Andreu, Electrical vehicles: State of art and issues for their connection to the network, 2009 10th International Conference on Electrical Power Quality and Utilisation, Poland, 2009, 1–3.
  2. [2] B. Frieske, M. Kloetzke, and F. Mauser, Trends in vehicle concept and key technology development for hybrid and battery electric vehicles, 2013 World Electric Vehicle Symposium and Exhibition (EVS27), Barcelona, Spain, 2013, 1–12.
  3. [3] A.K. Karmaker, S. Roy, and M.R. Ahmed, Analysis of the impact of electric vehicle charging station on power quality issues, 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), Bangladesh, 2019, 1–6.
  4. [4] M. Yilmaz and P.T. Krein, Review of battery charger topologies, charging power levels, and infrastructure for plug-in electric and hybrid vehicles, IEEE Transactions on Power Electronics, 28(5), 2013, 2151–2169.
  5. [5] S. Tounsi and S.H. Abdallah, Robust control strategies dedicated to electric vehicle motorization, International Journal of Power and Energy Systems, 40(2), 2020.
  6. [6] V.S. Sudhakaran, V.A. Shah, and M.M. Lokhande, Vector control based regenerative braking for induction motor driven battery electric vehicles, International Journal of Power and Energy Systems, 40(3), 2020.
  7. [7] P. Waltermann, Modelling and control of the longitudinal and lateral dynamics of a series hybrid vehicle, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Control, Michigan, USA, 1996, 191–198.
  8. [8] G. Meier, G. Roppenecker, and C. Wurmthaler, Automatic lateral vehicle guidance using tracking control A modular approach to separate driverand vehicle-dependent dynamics, IEEE Intelligent Vehicles Symposium, 2004, Parma, Italy, 2004, 145–149.
  9. [9] Y. Boukadida, A. Masmoudi, G.M. Casolino, and F. Marignetti, A simple assessment of the dynamics of the road vehicles, 2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2018, 1–6.
  10. [10] V. Yousuf and A. Ahmad, Unit template based control design for alleviation and analysis of SSR in power system using STATCOM, Electric Power Components and Systems, 47(19–20), 2020, 1805–1813. https://doi.org/10.1080/ 15325008.2020.1731872
  11. [11] V. Yousuf and A. Ahmad, ADRC-based control strategies to alleviate SSR using STATCOM, Electrical Engineering, February 2021. https://doi.org/10.1007/s00202-021-01233-5
  12. [12] K.H. Ang, G. Chong, and Y. Li, PID control system analysis, design, and technology, IEEE Transactions on Control Systems Technology, 13(4), 2005, 559–576.
  13. [13] R.A. Paz, The design of the PID controller. Klipsch school of Electrical and Computer engineering, 8 (2001).
  14. [14] V. Utkin, Variable structure systems with sliding modes, IEEE Transactions on Automatic Control, 22(2), 1977, 212–222.
  15. [15] K.D. Young, V.I. Utkin, and U. Ozguner, A control engineer’s guide to sliding mode control, IEEE Transactions on Control Systems Technology, 7(3), 1999, 328–342.
  16. [16] C.-H. Chen, C.-C. Wang, Y. Wang, and P. Wang, Fuzzy logic controller design for intelligent robots, Mathematical Problems in Engineering, 2017, 2017, 1–12.
  17. [17] N. Yagiz, E. Sakman, and R. Guclu, Different control applications on a vehicle using fuzzy logic control, Sadhana, 33, 2008, 15–25.
  18. [18] V. Yousuf, N. Yadav, and N. Chopra, Mitigation of subsynchronous resonance using UPFC with fuzzy logic control for power system stability, 2016 7th India International Conference on Power Electronics (IICPE), Patiala, India, 2016, 1–6.
  19. [19] E. Grossi and M. Buscema, Introduction to artificial neural networks, European Journal of Gastroenterology & Hepatology, 19, 2008, 1046–1054.
  20. [20] N. Malik, Artificial Neural Networks and Their Applications, Neural and Evolutionary Computing, June 2005.
  21. [21] V. Yousuf and A. Ahmad, Neural network based control design to extenuate subsynchronous resonance, International Journal of Power and Energy Systems, 40(2), 2020.
  22. [22] A. Kusagur, D.S.F. Kodad, and D.B.V.S. Ram, Modeling, design & simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for speed control of induction motor, International Journal of Computer Applications, 6(12), 2010, 29–45, published By Foundation of Computer Science.
  23. [23] S. Bolognani, S. Bolognani, L. Peretti, and M. Zigliotto, Design and implementation of model predictive control for electrical motor drives, IEEE Transactions on Industrial Electronics, 56(6), 2009, 1925–1936.
  24. [24] N. Venkatesan and N. Anantharaman, Controller design based on model predictive control for a nonlinear process, 2012 8th International Symposium on Mechatronics and its Applications, Sharjah, UAE, 2012, 1–6.

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