Integrated control of braking and steering systems to improve vehicle stability based on optimal wheel slip ratio estimation
Journal of the Brazilian Society of Mechanical Sciences and Engineering - Tập 44 - Trang 1-15 - 2022
Tóm tắt
This paper presents an integrated control of longitudinal, yaw and lateral vehicle dynamics using active front steering (AFS) and active braking systems. The designed active braking system based on sliding mode controller includes two kinds of working modes. It is activated as an anti-locked brake system (ABS) and an electronic stability control (ESC) with active differential braking strategy (DBS) for hard braking in straight line and unstable situation in cornering, respectively. The AFS is proposed based on fuzzy controller. In addition, a nonlinear estimator utilizing unscented Kalman filter (UKF) is applied to estimate the vehicle dynamics variables that cannot be measured in a cost-efficient way such as wheel slip, yaw rate, longitudinal and lateral velocities. According to the estimated values and Dugoff tire model, the tire-road friction coefficients are calculated. As the ABS performance for shortening the stopping distance depends on the optimal tire slip ratios, an adaptive neuro-fuzzy inference system (ANFIS) is proposed to obtain their optimum values. The tire-road friction coefficients, longitudinal velocity, and the vertical wheel load are considered as the ANFIS inputs. In the simulation part, the hard-braking action in straight line on the roads with various friction coefficients and split-μ roads is investigated. The results demonstrate high precision of the estimation of road friction coefficient and optimum wheel slip ratio, greatly reduction of the distance and stopping time, as well as improvement of the lateral and yaw stability in comparison with the vehicle without estimator.
Tài liệu tham khảo
Karbalaei R, Ghaffari A, Kazemi R, Tabatabaei H (2008) A new intelligent strategy to integrated control of AFS/DYC based on fuzzy logic. Int J Math Phys Eng Sci 1(1):47–52
Hwang T, Park KA, Heo S et al (2008) Design of integrated chassis control logics for AFS and ESP. Int J Automot Technol 9(1):17–27
Naraghi M, Roshanbin A, Tavasoli A (2010) Vehicle stability enhancement - an adaptive optimal approach to the distribution of tyre forces. Proc Inst Eng Part D J Automob Eng 224(4):443–453
Ding N, Taheri S (2010) An adaptive integrated algorithm for active front steering and direct yaw moment control based on direct Lyapunov method. Veh Syst Dyn 48(10):1193–1213
Doumiati M, Senam O, Dugard L et al (2013) Integrated vehicle dynamics control via coordination of active front steering and rear braking. Europ J Control 19(2):121–143
Jalali M, Khosravani S, Khajepour A et al (2017) Model predictive control of vehicle stability using coordinated active steering and differential brakes. Mechatronics 48:30–41
Zhang J, Li J (2019) Integrated vehicle chassis control for active front steering and direct yaw moment control based on hierarchical structure. Trans Inst Meas Control 41(9):2428–2440
Ahn C, Kim B, Lee M (2012) Modeling and control of an anti-lock brake and steering system for cooperative control on split-μ surfaces. Inte J Automot Technol 13(4):571–581
Mirzaeinejad H, Mirzaei M, Kazemi R (2016) Enhancement of vehicle braking performance on split-μ roads using optimal integrated control of steering and braking systems. Proc Inst Eng Part K J Multi-body Dyn 230(4):401–415
Song J (2012) Integrated control of brake pressure and rear-wheel steering to improve lateral stability with fuzzy logic. Int J Automot Technol 13(4):563–570
Aalizadeh B (2019) A neurofuzzy controller for active front steering system of vehicle under road friction uncertainties. Trans Inst Meas Control 41(4):1057–1067
Zhang X, Xu Y, Pan M et al (2014) A vehicle ABS adaptive sliding-mode control algorithm based on the vehicle velocity estimation and tyre/road friction coefficient estimations. Veh Syst Dyn 52(4):475–503
Bagheri A, Azadi S, Soltani A (2017) A combined use of adaptive sliding mode control and unscented Kalman filter estimator to improve vehicle yaw stability. Proc Inst Eng Part K J Multi-body Dyn 231(2):388–401
Paul D, Velenis E, Humbert F, at el, (2019) Tyre–road friction μ-estimation based on braking force distribution. IMechE Part D 233(8):2030–2047
Novi T, Capitani R, Annicchiarico C (2019) An integrated artificial neural network–unscented Kalman filter vehicle sideslip angle estimation based on inertial measurement unit measurements. IMechE Part D 233(7):1864–1878
Ahmadi Jeyed H, Ghaffari A (2019) Nonlinear estimator design based on extended Kalman filter approach for state estimation of articulated heavy vehicle. IMechE Part K 233(2):254–265
Ren H, Chen S, Shim T et al (2014) Effective assessment of tyre-road friction coefficient using a hybrid estimator. Veh Syst Dyn 52(8):1047–1065