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Binda M B1, M Rajaram2
1. Research Scholar, Sathyabama University, Chennai, India
2. Vice Chancellor, Anna University, Chennai, India

Abstract— In this paper, we present a noval methodology for prevention of vehicle rollover model which is suitable for preventing the rollovers that was caused in many vehicles. For vehicles that are predicted to be susceptible to wheel-lift off, various control mechanisms are implemented by earlier researchers. In this work, we propose a neural network based method for preventing and predicting the rollover based on the combination of Neural networks logic with Gaussian controller which does not require such accurate information about the vehicle. The validity of the proposed methodology is proved by the experimental results and it is used to realize rollover prevention in the direction of the rollover. The primary assumption in this implementation is that the vehicle is equipped with a conventional neural network based controller system.

Index Terms— Rollover, Neural network tuned PID controller, PID controller

Cite: Binda M B and M Rajaram, " INTELLIGENT PREDICTION AND PREVENTION OF VEHICLE ROLLOVER USING NNLQG REGULATOR," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 4, No. 1, pp. 40-46, January 2017.