An automotive cruise control using fuzzy control optimized via unscented Kalman filter

World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Mohsen Rakhshan and Faridoon Shabani-nia

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

In this paper, the objective is to generate and optimize the fuzzy membership functions for an automotive cruise control in order to obtain a better and faster response facing with the changes in the driving conditions. The regular method for optimization is gradient descent, but in this paper, we use the Unscented Kalman filter (UKF) in a special manner to optimize the membership functions and also modify the membership function. We will show that the UKF is a powerful method for increasing the performance of a fuzzy system.