基于远近视角驾驶员模型人机合作转向PDC/H∞控制策略

摘要/Abstract

摘要：

基于远近视角驾驶员模型获得了非线性车路和人车路闭环T-S模型，运用状态反馈γ-次优H∞范数和线性矩阵不等式约束得到了反馈增益矩阵。应用模糊并行分布补偿控制设计了车路和人车路闭环T-S模型全局控制器。CarSim/Simulink仿真结果表明，基于人车路闭环模型的人机合作转向控制的车道保持能力和跨道时间均优于车路模型，从而减少了车道偏离的风险。通过合作转向评价准则得出的人车路闭环PDC/H∞控制器的人机合作程度较高。

关键词: 远近视角驾驶员模型, 并行分布补偿, 人机合作转向控制, 跨道时间

Abstract:

A non-linear road-vehicle and driver-road-vehicle closed-loop T-S fuzzy model was acquired based on a driver model with near and far visual angels. State feedback γ-suboptimum norm and linear matrix inequalities constraint were used to get feedback gain matrix. The global controllers of road-vehicle and driver-road-vehicle closed-loop T-S fuzzy model were designed by using PDC. Simulation results based on CarSim/Simulink show that lane keeping performance and time to line crossing based on human-machine cooperative steering control of driver-road-vehicle closed-loop model are both superior to road-vehicle model, and the lane departure risk is reduced. The man-machine cooperation degree of driver-road-vehicle closed-loop PDC/H∞ controller is higher by evaluation criterion of cooperative steering control.

Key words: driver model with near and far visual angels, parallel distributed compensation(PDC), human-machine cooperative steering control, time to line crossing

中图分类号:

U461

汪选要, 王其东, 王金波. 基于远近视角驾驶员模型人机合作转向PDC/H∞控制策略[J]. 中国机械工程, 2016, 27(01): 121-128.

Wang Xuanyao, Wang Qidong, Wang Jinbo. Human-machine Cooperative Steering PDC/H∞ Control Strategy Based on Driver Model with Near and Far Visual Angels[J]. China Mechanical Engineering, 2016, 27(01): 121-128.

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https://www.cmemo.org.cn/CN/Y2016/V27/I01/121

参考文献

[1]Katriniok A，Abel D. LTV-MPC Approach for Lateral Vehicle Guidance by Front Steering at the Limits of Vehicle Dynamics[C]//2011 50th IEEE Conference on Decision and Control and European Control Conference. Orlando，FL，USA，2011: 6828-6833.
[2]李琳辉，李明，郭景华，等. 基于视觉的智能车辆模糊滑模横向控制[J]. 大连理工大学学报，2013，53(5)：735-741.
Li Linhui，Li Ming，Guo Jinghua，et al. Fuzzy Sliding Mode Lateral Control of Intelligent Vehicle Based on Vision[J]. Journal of Dalian University of Technology，2013，53(5)：735-741.
[3]王立标，李军，范剑，等. 车辆横向稳定性自适应神经网络控制策略研究[J]. 汽车工程，2010，32 (6): 493-496.
Wang Libiao, Li Jun, Fan Jian, et al. A Study on the Control Strategy of Adaptive Neural Network for Vehicle Yaw Stability[J]. Automotive Engineering, 2010, 32(6): 493-496.
[4]王家恩, 陈无畏, 王檀彬, 等. 基于期望横摆角速度的视觉导航智能车辆横向控制[J]. 机械工程学报, 2012, 48(4): 108-115.
Wang Jiaen, Chen Wuwei, Wang Tanbin, et al. Vision Guided Intelligent Vehicle Lateral Control Based on Desired Yaw Rate[J]. Journal of Mechanical Engineering, 2012, 48(4): 108-115.
[5]郭景华, 胡平, 李琳辉, 等. 基于遗传优化的无人车横向模糊控制[J]. 机械工程学报, 2012, 48(6): 76-82.
Guo Jinghua, Hu Ping, Li Linhui, et al. Study on Lateral Fuzzy Control of Unmanned Vehicles via Genetic Algorithms[J]. Journal of Mechanical Engineering, 2012, 48(6): 76-82.
[6]张海林, 罗禹贡, 江青云, 等. 基于电动助力转向的车道保持系统[J]. 汽车工程, 2013, 35(6): 525-531.
Zhang Hailin，Luo Yugong，Jiang Qingyun, et al. Lane Keeping System Based on Electric Power Steering System[J]. Automotive Engineering, 2013, 35(6): 525-531.
[7]Menhour L, Charara A, Lechner D. Switched LQR/H∞ Steering Vehicle Control to Detect Critical Driving Situations[J]. Control Engineering Practice, 2014, 24: 1-14.
[8]Menhour L, Lechner D, Charara A. Two Degrees of Freedom PID Multi-controllers to Design a Mathematical Driver Model: Experimental Validation and Robustness Tests[J]. Vehicle System Dynamics, 2011, 49: 595-624.
[9]Enache N M, Mammar S, Netto M, et al. Driver Steering Assistance for Lane-departure Avoidance Based on Hybrid Automata and Composite Lyapunov Function[J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(1): 28-39.
[10]Marino R, Scalzi S, Netto M. Integrated Driver and Active Steering Control for Vision-based Lane Keeping[J]. European Journal of Control, 2012, 5:473-484.
[11]Nagai M, Mouri H, Raksincharoensak P. Vehicle Lane-tracking Control with Steering Torque Input[J]. Vehicle System Dynamics, 2003, 37:267-278.
[12]Soualmi B, Sentouh C, Popieul J C, et al. Fuzzy Takagi-Sugeno LQ Controller for a Shared Control of Vehicle[C]//2011 14th International IEEE Conference on Intelligent Transportation Systems. Washington DC，USA，2011: 956-961.
[13]Soualmi B, Sentouh C, Popieul J C, et al. Fuzzy Takagi-Sugeno LQ Controller for Lateral Control Assistance of a Vehicle[C]//2012 Intelligent Vehicles Symposium. Alcalá de Henares, Spain，2012: 377-382.
[14]Saleh L, Chevrel P, Claveau F, et al. Shared Steering Control between a Driver and an Automation: Stability in the Presence of Driver Behavior Uncertainty[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(2): 974-983.
[15]Sentouh C, Debernard S, Popieul J, et al. Toward a Shared Lateral Control between Driver and Steering Assist Controller[C]//11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-machine Systems. Valenciennes， France，2010:404-409.
[16]Sentouh C, Chevrel P, Mars F, et al. A Sensorimotor Driver Model for Steering Control[C]//Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics. San Antonio, USA，2009:2462-2467.
[17]张喜海. 基于T-S模型的航天器姿态模糊控制问题研究[D]. 哈尔滨工业大学, 2013.
[18]Li J, Wang H O, David N, et al. Dynamic Parallel Distributed Compensation for Takagi-Sugeno Fuzzy Systems: an LMI Approach[J]. Information Sciences, 2000, 123: 201-221.
[19]Mammar S, Glaser S, Netto M. Time to Line Crossing for Lane Departure Avoidance: a Theoretical Study and an Experimental Setting[J]. IEEE Transactions on Intelligent Transportation Systems, 2006, 7(2): 226-241.
[20]Rajamani R. Vehicle Dynamics and Control[M]. New York：Springer, 2011.