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Optimal Learning Slip Ratio Control for Tractor-semitrailer Braking in a Turn based on Fuzzy Logic



The research on braking performance of tractor-semitrailer is a hard and difficult point in the field of vehicle reliability and safety technology. In this paper, the tire braking model and the dynamic characteristic model of the brake torque with the variable of the controlling air pressure were established. And we also established a nonlinear kinematic model of the tractor-semitrailer when it brakes on a curve. The parameters and variables of the model were measured and determined by the road experiment test. The optimal control strategy for the tractor-semitrailer based on the optimal slipping ratio was proposed. Then, the PID controller and the fuzzy controller were designed respectively. Simulation results show that the reasonable control strategy can significantly improve the braking directional stability when a tractor-semitrailer runs on a curving road. The research results provide technical references for improving the lateral stability when a tractor-semitrailer brakes on a curve, and it also provides a technical reference for the road traffic safety.



Total Pages: 8
Pages: 563-570


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Volume: 24
Issue: 3
Year: 2018

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Ahn, D. H., Park, H., Hwang, S., & Park, T. (2017). Reliable identification of vehicle-boarding actions based on fuzzy inference system:. Sensors,17, 333.

Abdurrahim, J., Morales, Y., Gupta, P., Umata, I., Watanabe, A., & Even, J., et al. (2016). Multi-sensor based state prediction for personal mobility vehicles. Plos One, 11.

Chieh C., & Masayoshi T. (2000). Lateral control of commercial heavy vehicles. Vehicle System Dynamics, 33, 391-420.;1-M;FT391

Chadwick, S. G., Zhou, N., & Saat, M. R. (2014). Highway-rail grade crossing safety challenges for shared operations of high-speed passenger and heavy freight rail in the U.S. Safety Science, 68, 128-137.

Cao, X., & Zhu, D. (2015). Multi-auv task assignment and path planning with ocean current based on biological inspired self-organizing map and velocity synthesis algorithm. Intelligent Automation & Soft Computing, 1-9.

Chou, Y. C., & Nakajima, M. (2016). Particle filter planar target tracking with a monocular camera for mobile robots. Intelligent Automation & Soft Computing, 1-9.

Deng, L., Qiang, L., & Yang, S. X. (2015). Intelligent information technologies in fruit industry. Intelligent Automation & Soft Computing, 21, 265-267.

Dixit, V. V., Chand, S., & Nair, D. J. (2016). Autonomous vehicles: disengagements, accidents and reaction times. Plos One, 11, e0168054.

Demir, E., Bektaş, T., & Laporte, G. (2014). A review of recent research on green road freight transportation. European Journal of Operational Research, 237, 775-793.

Ding, N., Shi, X., Zhang, Y., & Chen, W. (2014). Analysis of bifurcation and stability for a tractor semi-trailer in planar motion. Vehicle System Dynamics, 52, 1729-1751.

Guan, Z. W., Liu, H. F., & Xu, H.G. (2002). Control system of simulation test bench for lateral stability on straight driving of tractor trailer train. Journal of Highway & Transportation Research And Development. 19, 156-159

Goel, V.K. (1984). Dynamics and handling characteristics of single track vehicles during braking and acceleration. Vehicle System Dynamics, 12(1-3), 59-64.

Gaspar, P., Szaszi, I., & Bokor, J. (2005). Reconfigurable control structure to prevent the rollover of heavy vehicles. Control Engineering Practice, 13, 699-711.

Gao, B., Zhang, R., & Lou, X. (2016). Modeling day-to-day flow dynamics on degradable transport network. Plos One, 11, e0168241.

Huang, H. H., & Yedavalli, R. K. (2010). Active Roll Control for Rollover Prevention of Heavy Articulated Vehicles With Multiple-Rollover-Index Minimization. ASME 2010 Dynamic Systems and Control Conference, American Society of Mechanical Engineers, 797-804.

Huang, R., Liang, H., Zhao, P., Yu, B., & Geng, X. (2017). Intent-estimation- and motion-model-based collision avoidance method for autonomous vehicles in urban environments. Applied Sciences, 7, 457.

Huynh, P., Do, T. H., & Yoo, M. (2017). A probability-based algorithm using image sensors to track the led in a vehicle visible light communication system. Sensors, 17, 347.

Jia, G., Li, L., & Cao, D. (2015). Model-based estimation for vehicle dynamics states at the limit handling. Journal of Dynamic Systems Measurement & Control, 137, 1-8.

Khalaji, A. K., & Moosavian, S. A. A. (2016). Stabilization of a tractor-trailer wheeled robot. Journal of Mechanical Science & Technology, 30, 421-428.

Kress, G.H., Fainekos, G. E., & Pappas, G. J. (2009). Temporal-logic-based reactive mission and motion planning. IEEE Transactions on Robotics, 25, 1370-1381.

Li, H., Li, C., Li, H., Li, Y., & Xing, Z. (2017). An integrated altitude control design for a tail-sitter uav equipped with turbine engines. IEEE Access, 5(99), 10941 - 10952.

Li, K., Deng, K., Xia, Q., He, L., Song, X., & Fu, Z. (2007). Load transfer of the tractor-semitrailer combination when braking and its effect on braking performance. Transactions of the Chinese Society for Agricultural Machinery, 38, 17-21

Ozdalyan, B. (2008). Development of a slip control anti-lock braking system model. International Journal of Automotive Technology, 9, 71-80.

Rajamani, R., Piyabongkarn, D., Tsourapas, V., & Lew, J. Y. (2011). Parameter and state estimation in vehicle roll dynamics. IEEE Transactions on Intelligent Transportation Systems, 12, 1558-1567.

Shuwen, Z., & Siqi, Z. (2014). Study on tractor semi-trailer roll stability control. Open Mechanical Engineering Journal, 8, 238-242.

Thanpattranon, P., Ahamed, T., & Takigawa, T. (2016). Navigation of autonomous tractor for orchards and plantations using a laser range finder: automatic control of trailer position with tractor. Biosystems Engineering, 147, 90-103.

Tseng, H. E., Xu, L., & Hrovat, D. (2007). Estimation of land vehicle roll and pitch angles. Vehicle System Dynamics, 45, 433-443.

Wang, G. (2005). Modeling and experiments of tractor trailer. Transactions of the Chinese Society of Agricultural Machinery, 36, 17-20.

Wang, C., & Wang, J. (2015). A multi-criteria decision-making method based on triangular intuitionistic fuzzy preference information. Intelligent Automation & Soft Computing, 1-10.

Xu, B., Li, H., Xu, D., Jia, L., Ran, B., & Rong, J. (2016). Traffic vehicle counting in jam flow conditions using low-cost and energy-efficient wireless magnetic sensors. Sensors, 16, 1868.

You, F., Zhang, R. H., Wang, H. W., Jian-Min, X. U., & Wen, H. Y. (2014). Dynamic model and tracking control of tractor semi-trailer vehicle with underactuated system. Jilin Daxue Xuebao, 44, 1296-1302.

Yin, T., Huang, D., & Fu, S. (2017). Adaptive decision and robust control under parallel precedence constraints in human strategy modeling. IEEE Access, 5(99), 9944 - 9956.

You, F., Zhang, R.H., Guo, L., Wang, H.W., Wen, H.Y., & Xu, J.M. (2015). Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system. Expert Systems with Applications, 42, 5932-5946.

Zhang, R. H., He, Z. C., Wang, H. W., You, F., & Li, K. N. (2017). Study on self-tuning tyre friction control for developing main-servo loop integrated chassis control system. IEEE Access, 5(99), 6649-6660.

Zhang, H., Zhang, H. W., & Yang, J. Q. (2016). Simulation analysis of double road train adaptability of highway in china. Procedia Engineering, 137, 244-251.

Zhang, R.H., Feng, Y., Lv, Z.H., He, Z.C., Wang, H.W., & Huang, L. (2016). Development and characterization a single-active-chamber piezoelectric membrane pump with multiple passive check valves. Sensors, 16, 2108.

Zhang, R. H., Wu, J., Huang, L., & You, F.(2017). Study of bicycle movements in conflicts at mixed traffic unsignalized intersections. IEEE Access,5(99), 10108 - 10117.

Zhang, R.H, Li, K.N., He, Z.C., Wang, H.W., You, F. (2017). Advanced emergency braking control based on a nonlinear model predictive algorithm for intelligent vehicles. Applied Sciences, 7, 504.

Zhang, R.H., Ma, Y.B., You, F., Peng, T., He, Z.C., & Li, K.N.(2017). Exploring to direct the reaction pathway for hydrogenation of levulinic acid into gvalerolactone for future Clean-Energy Vehicles over a magnetic Cu-Ni catalyst, International Journal of Hydrogen Energy, 42(40), 25185-25194.

Sun, X.J., Zhang, H., Meng, W.J., Zhang, R.H., Li, K.L., & Peng, T. (2018). Primary resonance analysis and vibration suppression for the harmonically excited nonlinear suspension system using a pair of symmetric viscoelastic buffers,Nonlinear Dynamics


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


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