Adaptive comfort-oriented vehicle lateral control with online controller adjustments according to driver behaviour and look-ahead dynamics

This paper presents a comfort-oriented adaptive fuzzy-model predictive control strategy to control the lateral motion of a vehicle with the steering angle as the input while preventing sudden changes and unwanted motions. This is reached by utilizing three main contributions: an adaptive fuzzy model based on look-ahead dynamics, limiting the controller to the acceptable range of states to the driver and introducing an adjustment factor to the controller's cost function. Using adaptive-fuzzy models to describe the vehicle lateral dynamics and driver behaviour for the purpose of the control-oriented model enables this method of control to advantage from the low computational effort of the models while maintaining the accuracy and adaptive properties which are crucial to the performance and robustness of the system during the manoeuvres. Also, the characteristics of each driver's behaviour modify the controller towards a more comfort-oriented drive with means of the cost function and constraints. The comparative simulation indicates that the developed method leads to a comfort-oriented drive, in that the vehicle's states stay within the limits of the driver behaviour range, the fluctuations are insignificant and the control strategy is more accurate than previous methods.

[1]  Francesco Borrelli,et al.  Predictive Active Steering Control for Autonomous Vehicle Systems , 2007, IEEE Transactions on Control Systems Technology.

[2]  Ali Ghaffari,et al.  Modeling of Double Lane Change Maneuver of Vehicles , 2018 .

[3]  Ali Ghaffari,et al.  ANFIS based modeling and prediction car following behavior in real traffic flow based on instantaneous reaction delay , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[4]  John H. Lilly,et al.  Fuzzy Control and Identification , 2010 .

[5]  Francesco Borrelli,et al.  A Real-Time Model Predictive Control Approach for Autonomous Active Steering , 2006 .

[6]  Vu Trieu Minh,et al.  Development of a real-time clutch transition strategy for a parallel hybrid electric vehicle , 2012, J. Syst. Control. Eng..

[7]  L. L. Hoberock,et al.  A Survey of Longitudinal Acceleration Comfort Studies in Ground Transportation Vehicles , 1977 .

[8]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Homer Rahnejat,et al.  Combined bounce, pitch, and roll dynamics of vehicles negotiating single speed bump events , 2007 .

[10]  Jessica S Jermakian,et al.  Crash avoidance potential of four passenger vehicle technologies. , 2011, Accident; analysis and prevention.

[11]  Edmund Donges,et al.  A Two-Level Model of Driver Steering Behavior , 1978 .

[12]  Milan Simic,et al.  Receding horizon lateral vehicle control for pure pursuit path tracking , 2018 .

[13]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[14]  D. Casanova,et al.  A Mathematical Model for Driver Steering Control, with Design, Tuning and Performance Results , 2000 .

[15]  A. Modjtahedzadeh,et al.  A control theoretic model of driver steering behavior , 1990, IEEE Control Systems Magazine.

[16]  Jian Wu,et al.  Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits , 2018, Control Engineering Practice.

[17]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .

[18]  Gheorghe Livint,et al.  Nonlinear Model Predictive Control using Lyapunov Functions for Vehicle Lateral Dynamics , 2016 .

[19]  Hans B. Pacejka,et al.  A New Tire Model with an Application in Vehicle Dynamics Studies , 1989 .

[20]  Hans B. Pacejka,et al.  Tire and Vehicle Dynamics , 1982 .

[21]  Zhihong Man,et al.  A novel sliding mode control for lane keeping in road vehicles , 2016, 2016 International Conference on Advanced Mechatronic Systems (ICAMechS).

[22]  Shahram Azadi,et al.  Vehicle lateral control in the presence of uncertainty for lane change maneuver using adaptive sliding mode control with fuzzy boundary layer , 2018, J. Syst. Control. Eng..

[23]  Armin Norouzi,et al.  Lateral control of an autonomous vehicle using integrated backstepping and sliding mode controller , 2018, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics.