Torque Vectoring Control with Gain Scheduling PID During Cornering Maneuvers for Electrical Vehicles

Emre Sezgin*, Mujde Guzelkaya, Erhan Yumuk

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Vehicle dynamic control plays a crucial role in preventing accidents by reducing the difference between the expected and measured vehicle response. Torque vectoring control is a contemporary control method used in vehicle dynamic control to enhance the traction performance of vehicles. In this study, a gain-scheduled PID-based torque vectoring controller is proposed to control a nonlinear, multi-degree-of-freedom vehicle model with three electric motors during turning maneuvers. To this end, same maneuver is generated for twelve different working point that the vehicle may encounter during driving, and optimal coefficients that minimize the total squared error performance criterion are found for each maneuver. The coefficient surfaces are obtained for each controller coefficient using the cubic spline interpolation method. In simulation studies, the proposed gain-scheduled PID controller is tested under various maneuver changes, and it is observed that the performance of the control system significantly improves compared to the conventional PID controller.

Original languageEnglish
Title of host publication2025 33rd Mediterranean Conference on Control and Automation, MED 2025
EditorsAbdel Aitouche, Driss Mehdi, Dhaker Abnes, Lounis Adouane, Smail Bachir, Michel Basset, Juri Belikov, Abdellah Benzaouia, Manuel Berenguel, Nicola Bezzo, Luigi Biagiotti, Marcello Bonfe, Jerome Bosche, Mahd Boukerdja, Raffaele Carli, Alessandro Casavola, Graziana Cavone, Mohamed Chaabane, Michelle Chong, Vincent Cocquempot, Giacomo Como, Egidio D'Amato, Vittorio De Iuliis, Kyriakos Deliparaschos, Jean-Yves Dieulot, Lefteris Doitsidis, Mariagrazia Dotoli, Tolga Eren, Simon G. Fabri, Adriano Fagiolini, Mondher Farza, Antoine Ferreira, Giancarlo Fortino, Alessandro Freddi, Sergio Galeani, Hamd Gassara, Malek Ghanes, Laura Giarre', Jorge M Goncalves, Meriem Hayani Mechkouri, Loretta Ichim, Eric Joubert, Elkhatib Kamal, Mustafa Khammash, Maher Kharratt, Abdessamad Kobi, Olena Kuzmych, Kostas J Kyriakopoulos, Samir Ladaci, Othman Lakhal, Taous-Meriem Laleg, Minas Liarokapis, Julien Marzat, Kamal Medjaher, Paolo Mercorelli, Andrea Monteriu, Hassan Noura, Severus Constantin Olteanu, Rodolfo Orjuela, Zalman J. Palmor, Evangelos Papadopoulos, Nikos Papanikolopoulos, Dan Popescu, Maria Prandini, Vicenc Puig, Rabhi Abdelhamid, Vasso Reppa, Joachim Rudolph, Antonio Sala, Paolo Scarabaggio, David Scaradozzi, Luca Schenato, Horst Schulte, Olivie Sename, Jinjun Shan, Giuseppe Silano, Margareta Stefanovic, Florin Stoican, Fernando Tadeo, Davide Tebaldi, Didier Theilliol, Lizeth Torres, Costas Tzafestas, Damiano Varagnolo, Christos Verginis, Antonio Visioli, Haoping Wang, Marcin Witczak, Xiang Yu, Michel Zasadzinski, Elena Zattoni, Youmin Zhang, Argyrios Zolotas
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
ISBN (Electronic)9798331577193
DOIs
Publication statusPublished - 2025
Event33rd Mediterranean Conference on Control and Automation, MED 2025 - Tangier, Morocco
Duration: 10 Jun 202513 Jun 2025

Publication series

Name2025 33rd Mediterranean Conference on Control and Automation, MED 2025

Conference

Conference33rd Mediterranean Conference on Control and Automation, MED 2025
Country/TerritoryMorocco
CityTangier
Period10/06/2513/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • PID controller
  • non-linear systems
  • torque vectoring
  • vehicle dynamics

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