Design and simulation of an integrated active yaw control system for road vehicles

Abstract

Active vehicle safety systems for road vehicles play an important role in accident prevention. In recent years, rapid developments have been observed in this area with advancing technology and electronic control systems. Active yaw control is one of I would like to state my appreciation to Murat Şahin for his patient support and pleasant friendship, Emir Kutluay for his useful advises and company at every part of the study, Görkem Oktay and Hakan Temizsoy for their abundantly helpful and enjoyable attitude throughout this thesis. After all these years, I have got quite a bunch of friends in the department, which I cannot stop without stating my appreciation to all of them. Also, financial support of TÜBĐTAK is also gratefully acknowledged. My endless thankfulness goes to my friend Zeynep Erdoğan, who has stimulated and supported me with patience and wisdom. Without her, this study would never finish. My last, but not the least, thanks go to my valuable family. They have endlessly supported, guided and protected me in all stages of my life. I can never imagine a life without their love and dedication. x

Fuzzy Logic Based Control of the Lateral Stability of Tractor Semitrailer Vehicle

“…In this study, in order to improve the stability of a tractor semitrailer vehicle with parametric uncertainties in critical situations, a robust control scheme is proposed based on fuzzy logic control method to stabilize the yaw dynamics of the tractor and the trailer separately and thereby improve the roll stability. Fuzzy logic control method which is described in simple vague linguistic terms and is suitable for the control of nonlinear systems especially with parametric uncertainties has been widely used in vehicle dynamics control systems [15][16][17].…”

Development of a vehicle stability control strategy for a hybrid electric vehicle equipped with axle motors

“…Fuzzy control is one of the most common methods for implementing VSC strategies [18,20,21,24,[27][28][29][30]. The advantage of this approach lies in the benefit of not requiring an explicit mathematical model of the vehicle, while still being robust [31].…”

“…The first is the Fuzzy PI control scheme [27,28,30]. In this scheme, the controller uses the yaw rate and acceleration errors as control inputs, and computes the brake torque as the output for counter yaw moment action.…”

“…Tuning the control rules is a cumbersome procedure. Here, as a basis in setting the rules, rules similar to the one in [27] are taken as a starting point. The 81 rules for the Fuzzy PI Controller and the control surface generated by these rules are shown in Figure 9.…”

“…The second most common brake-actuated fuzzy controller considers the same scheme as the yaw controlled Fuzzy PI, with the only difference being the sideslip angle instead of the yaw acceleration error that is fed into the yaw controller [24,27,29]. This controller takes the sideslip angle into account too, in addition to the yaw rate, in order to limit it by the value given in Equation 7.…”