2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) 2014
DOI: 10.1109/itec-ap.2014.6940706
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Active steering control strategy of steer-by-wire system based on variable steering ratio

Abstract: Active steering control strategy in steer-by-wire system was studied based on variable steering ratio. The influence of steering ratio on steering sensitivity and the desired yaw rate gain was analyzed through simulation, to improve the controllability and stability of steer-by-wire system. Set the minimum closed-loop deviation of vehicle controllability and stability as the goal, the desired yaw rate gain was optimized using genetic algorithm, and the surface chart of variable steering ratio was desired based… Show more

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Cited by 7 publications
(2 citation statements)
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“…By adjusting the steering gain and steering derivative time constant of the SBW control model, the driving comfort of an elderly driver was effectively improved. Li et al [14]. analyzed the influence of the steering ratio on the steering sensitivity and expected yaw rate gain through simulations.…”
Section: Introductionmentioning
confidence: 99%
“…By adjusting the steering gain and steering derivative time constant of the SBW control model, the driving comfort of an elderly driver was effectively improved. Li et al [14]. analyzed the influence of the steering ratio on the steering sensitivity and expected yaw rate gain through simulations.…”
Section: Introductionmentioning
confidence: 99%
“…Wu and Li 16 proposed a Takagi-Sugeno fuzzy neural network-based control law for variable steering ratio, which aims to improve steering agility at low speeds and steering stability at high speeds, while also reducing driver workload during critical driving conditions. Li et al 17 examined active steering control strategies in a steer-by-wire system with variable steering ratio, leading to enhanced steering stability at high speeds, reduced driver burden, and improved driving safety. Wu et al 18 introduced a variable steering ratio control strategy for both normal and emergency driving conditions, which was validated through simulation to effectively reduce the driver's workload, enhance response characteristics, and improve steering stability.…”
Section: Introductionmentioning
confidence: 99%