Adaptive modified Stanley controller with fuzzy supervisory system for trajectory tracking of an autonomous armoured vehicle

Abstract In developing path tracking controller for autonomous vehicles, a properly tuned controller will work well for a certain range of driving conditions but may need to be re-tuned for others. This study presents the development of an adaptive controller with fuzzy supervisory system for trajectory tracking control of an autonomous armoured vehicle. A knowledge database is built using Particle Swarm Optimisation which is the mainframe of the Fuzzy supervisory system in adapting to various trajectories and speed. The proposed controller is simulated on a nonlinear vehicle model, and experimental results for the controller are presented to evaluate the proposed controller.

[1]  Milan Simic,et al.  The Role of Path Continuity in Lateral Vehicle Control , 2015, KES.

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

[3]  Vimal Rau Aparow,et al.  Modelling and PID control of antilock braking system with wheel slip reduction to improve braking performance , 2013 .

[4]  Cheng Lu,et al.  Adaptive Sliding Mode Control of Dynamic Systems Using Double Loop Recurrent Neural Network Structure , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[5]  Hairi Zamzuri,et al.  Hardware-in-the-loop simulation of trajectory following control for a light armoured vehicle optimised with particle swarm optimisation , 2019 .

[6]  Cheng Lu,et al.  Adaptive fractional order sliding mode controller with neural estimator , 2018, J. Frankl. Inst..

[7]  Cheng Chen,et al.  CF-Pursuit: A Pursuit Method with a Clothoid Fitting and a Fuzzy Controller for Autonomous Vehicles , 2015 .

[8]  Shinpei Kato,et al.  An Open Approach to Autonomous Vehicles , 2015, IEEE Micro.

[9]  Khisbullah Hudha,et al.  DEVELOPMENT AND VERIFICATION OF A 9- DOF ARMORED VEHICLE MODEL IN THE LATERAL AND LONGITUDINAL DIRECTIONS , 2016 .

[10]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[11]  Ji Yeong Lee,et al.  Sensor-based motion planning for path tracking and obstacle avoidance of robotic vehicles with nonholonomic constraints , 2013 .

[12]  Santhosh Kumar,et al.  Four Different Modes to Control Unmanned Ground Vehicle for Military Purpose , 2014 .

[13]  Guilherme V. Raffo,et al.  A Predictive Controller for Autonomous Vehicle Path Tracking , 2009, IEEE Transactions on Intelligent Transportation Systems.

[14]  Sanjiv Singh,et al.  The DARPA Urban Challenge: Autonomous Vehicles in City Traffic, George Air Force Base, Victorville, California, USA , 2009, The DARPA Urban Challenge.

[15]  Shixi Hou,et al.  Dynamic global proportional integral derivative sliding mode control using radial basis function neural compensator for three-phase active power filter , 2018, Trans. Inst. Meas. Control.

[16]  R. Sinnott.  Virtues of the Haversine , 1984 .

[17]  Khisbullah Hudha,et al.  Identification of an optimum control algorithm to reject unwanted yaw effect on wheeled armored vehicle due to the recoil force , 2016 .

[18]  Saiful Amri Mazlan,et al.  Adaptive Fuzzy-PI Control for Active Front Steering System of Armoured Vehicles: Outer Loop Control Design for Firing On The Move System , 2015 .

[19]  Khisbullah Hudha,et al.  Simulation and experimental evaluations on the performance of pneumatically actuated active roll control suspension system for improving vehicle lateral dynamics performance , 2014 .

[20]  Sebastian Thrun,et al.  Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.

[21]  Hairi Zamzuri,et al.  Modelling and Control Strategies in Path Tracking Control for Autonomous Ground Vehicles: A Review of State of the Art and Challenges , 2017, J. Intell. Robotic Syst..

[22]  Emilio Frazzoli,et al.  A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles , 2016, IEEE Transactions on Intelligent Vehicles.

[23]  Sanjiv Singh,et al.  The 2005 DARPA Grand Challenge: The Great Robot Race , 2007 .

[24]  Tae Kyeong Yeu,et al.  Adaptive Backstepping Control Design for Trajectory Tracking of Automatic Guided Vehicles , 2016 .

[25]  Rosbi Mamat,et al.  A Path Tracking Algorithm Using Future Prediction Control with Spike Detection for an Autonomous Vehicle Robot , 2013 .

[26]  Tamás Bécsi,et al.  Design of Lane Keeping Algorithm of Autonomous Vehicle , 2016 .

[27]  Jo Yung Wong,et al.  Theory of ground vehicles , 1978 .

[28]  Y. Tian,et al.  Model-free fractional-order sliding mode control for an active vehicle suspension system , 2018, Adv. Eng. Softw..

[29]  Gokhan Bayar,et al.  Localization and control of an autonomous orchard vehicle , 2015, Comput. Electron. Agric..

[30]  Yi Yang,et al.  Lateral control of autonomous vehicles based on fuzzy logic , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[31]  Saiful Amri Mazlan,et al.  Modeling, validation and firing-on-the-move control of armored vehicles using active front-wheel steering , 2016 .

[32]  Zewei Zheng,et al.  Adaptive sliding mode trajectory tracking control of robotic airships with parametric uncertainty and wind disturbance , 2018, J. Frankl. Inst..

[33]  P. Albertos,et al.  Linear interpolation based controller design for trajectory tracking under uncertainties: Application to mobile robots , 2015 .

[34]  Khisbullah Hudha,et al.  Hardware-in-the-loop simulation of automatic steering control for lanekeeping manoeuvre: outer-loop and inner-loop control design , 2010 .

[35]  Stefan F. Campbell.  Steering control of an autonomous ground vehicle with application to the DARPA Urban Challenge , 2007 .

[36]  Hairi Zamzuri,et al.  Path tracking controller of an autonomous armoured vehicle using modified Stanley controller optimized with particle swarm optimization , 2018 .

[37]  Christophe Grand,et al.  Dynamic path tracking control of a vehicle on slippery terrain , 2015 .

[38]  Matthew J. Barton,et al.  Controller Development and Implementation for Path Planning and Following in an Autonomous Urban Vehicle , 2001 .

[39]  Li-Xin Wang,et al.  Stable adaptive fuzzy controllers with application to inverted pendulum tracking , 1996, IEEE Trans. Syst. Man Cybern. Part B.