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Improvement of In-Wheel Motorized Electric Vehicle Stability Through Yaw Motion Control
Current Issue
Volume 5, 2018
Issue 3 (September)
Pages: 90-98   |   Vol. 5, No. 3, September 2018   |   Follow on         
Paper in PDF Downloads: 67   Since Aug. 31, 2018 Views: 1256   Since Aug. 31, 2018
Ahmed Sami, Basic Science Department, Giza Engineering Institute, Giza, Egypt.
Mohammed Abd Elhafiz, Automotive and Tractors Department, Faculty of Engineering-Mataria, Helwan University, Cairo, Egypt.
Esam Morsy, Automotive and Tractors Department, Faculty of Engineering-Mataria, Helwan University, Cairo, Egypt.
Nabil Hammad, Automotive and Tractors Department, Faculty of Engineering-Mataria, Helwan University, Cairo, Egypt.
The electric vehicles are an excellent alternative to the internal combustion engine-based vehicles. One of the types of the electric vehicle is the in-wheel motorized electric vehicle which has an electric motor inside each wheel to drive the electric vehicle. These electric motors with their rapid and accurate torque control capabilities offer more opportunities for the development of electric vehicles with in-wheel electric motors. Also, the in-wheel motorized electric vehicle is a perfect platform for developing a yaw motion control system to enhance lateral stability of the electric vehicle. The most famous parameters to judge the vehicle lateral stability are the yaw rate and the body sideslip angle. So, three control techniques have been applied to study the improvement of the vehicle stability. Those techniques are: Linear Quadratic Regulator (LQR), Proportional–Integral–Derivative (PID) and Fractional order PID tuned by genetic algorithms. The simulation has been generated using MATLAB/Simulink and MSC Adams after using ISO double lane change test to simulate the behavior of the vehicle with the control systems. The simulation results prove that the Fractional order PID tuned by genetic algorithms offers the best following yaw rate and the LQR gives better limitations of the body sideslip angle.
In-wheel Motorized Electric Vehicle, Vehicle Lateral Stability, Yaw Rate, Body Sideslip Angle, LQR, PID, Fractional Order PID
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