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Modelling and Validation of a Control Algorithm for Yaw Stability & Body Slip Control Using PID & Fuzzy Logic Based Controllers VIT University
- Format:
- Book
- Conference/Event
- Author/Creator:
- Lath, Umashankar, author.
- Conference Name:
- International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility (2019-10-11 : Chennai, India)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2019
- Summary:
- Advanced driver-assistance systems (ADAS) are becoming an essential part of the modern commercial automobile industry. Vehicle handling and stability are determined by the yaw rate and body slip of the vehicle. This paper is a comparative study of a nonlinear vehicle stability control algorithms for steering control based on two different controllers id est fuzzy logic based controller and PID controller. A full vehicle 14DOF model was made in Simulink to simulate an actual vehicle. The control algorithms are based on a two-track 7-DOF model with a non-linear tire model based on Pacejka "Magic tire formula", which was used to establish the desired response of a full vehicle 14DOF model. It was found that the fuzzy logic-based control algorithm demonstrated an overall superior performance characteristic than a PID based control algorithm; this includes a significant decrease in time lag and overshoot. The proposed control algorithms were validated through the co-simulation of Carsim and Simulink in real time
- Notes:
- Vendor supplied data
- Publisher Number:
- 2019-28-0054
- Access Restriction:
- Restricted for use by site license
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