Handling Stability Improvement Through Robust Active Front Steering and Active Differential Control (original) (raw)
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NOTES on STEERING and STABILITY, Rev. D
Steering is required to control the direction of the vehicle, and for this to occur efficiently it is necessary that tire scrub, which produces disturbance forces, be minimized. Minimization of tire scrub from other causes other than steering, i.e. suspension scrub resulting from lateral linkage movement/toe in-out/camber changes/castor and-or kignpin angle, are also investigated. However, the handling, i.e. steering and stability, character of an automobile depends mainly upon its responses to steering and disturbance inputs. To investigate the nature of automotive steering and stability a simplified (linear relationships, no suspension, low speeds, steady-state) mathematical model is initially presented and then developed further. Therefore this paper begins with the steering geometry…
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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
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A direct yaw moment control system (DYC) is designed to improve the handling and stability of a four-wheel-drive electric vehicle. The main task of this paper is to use the lateral forces in the process of optimally controlling vehicle stability. This is performed by defining a variable optimum region for the slip ratio of each wheel. A hierarchical structure is selected to design the control system. The higher-level control system controls the yaw rate of the vehicle based on the fuzzy logic technique. The lower-level control system, installed in each wheel, maintains the slip ratio of the same wheel within an optimum region using the fuzzy logic technique. This optimum region for each wheel is continuously modified based on the impact of the lateral force on the generated control yaw moment and the friction coefficient of the road. Therefore, an algorithm for estimation of the friction coefficient is proposed. Computer simulations are carried out to investigate the effectiveness of the proposed method. This is accomplished by comparison of the results of control methods with a fixed slip ratio region and the results of the proposed method with a variable slip ratio region in some maneuvers. The robustness of the proposed controller against hard braking and noise contamination, as well as the effect of steering wheel angle amplitude, is verified. The simulation results show that the influence of the proposed method on enhancing vehicle performance is significant.
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Yaw stability control is an important consideration for improving the stability and handling behavior of a vehicle during extreme steering maneuvers. This paper proposes a fuzzy logic based yaw stability controller for an active front steering of a four-wheeled road vehicle by using steer-by-wire system. The proposed control system takes the yaw rate error, the steering angle given by the driver and the vehicle body side slip angle as inputs, for calculating the additional steering angle as output for stabilizing the yaw moment of the vehicle. A three degrees-of-freedom vehicle model is considered. Performance of the proposed system is simulated for sinusoidal, step maneuver using Matlab/Simulink tool, and the results are compared with the existing fuzzy control system which uses two inputs such steering angle and yaw rate. The simulation results show better performance of the proposed fuzzy based yaw controller as compared with the existing control system.