Lane Keeping Maneuvers Using Proportional Integral Derivative (PID) and Model Predictive Control (MPC)
Abstract
Safety has being a concern as a result of the high rate of road accidents and has led to the development of driver assistance system such as Active braking, Cruise Control, Lane departure warning lane keeping and etc. has become a very active research area. However, this paper presents the performance and robustness analysis of a model predictive control and proportional integral derivative control for lane keeping maneuvers of an autonomous vehicle using computer vision simulation studies. A simulation study was carried out where a vehicle model based on single tracked bicycle model was developed in MATLAB/SIMULINK environment together with a vision dynamic system. Both PID controller and MPC were simulated to maintain the desired reference trajectory of the vehicle by controlling steering angle. Further performance and robustness analysis were carried out and the simulation results show that the proposed control system for the PID control achieved its objective even though it was less robust in maintaining its performance under various conditions like vehicle load change, different longitudinal speed and different cornering stiffness. While in the case of MPC the optimizer made sure that the predicted future trajectory of the vehicle output tracks the desired reference trajectory and was more robust in maintaining its performance under same conditions as in PID.
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M. Samuel, “A Review of some Pure-Pursuit based Path Tracking Techniques for Control of Autonomous Vehicle,” vol. 135, no. 1, pp. 35–38, 2016.
M. Syafiq and S. Mohamed, “Original Article Malaysian Drivers’ Perception Towards Advanced Driver Assistance Systems ( ADAS ),” vol. 2, no. 2, pp. 15–20, 2017.
S. A. Adnan Shaout, Dominic Colella, “Advanced Driver Assistance Systems - Past, Present and Future.” 2011.
H. Zhang and J. Wang, “Vehicle lateral dynamics control through afs/dyc and robust gain-scheduling approach,” IEEE Transactions on Vehicular Technology, vol. 65, no. 1, pp. 489–494, 2016.
G. Han, W. Fu, W. Wang, and Z. Wu, “The lateral tracking control for the intelligent vehicle based on adaptive PID neural network,” Sensors, vol. 17, no. 6, 2017.
J. Yang and N. Zheng, “An expert fuzzy controller for vehicle lateral control,” in Proc. of IEEE Annual Conference on Industrial Electronics, 2007, pp. 880–885.
X. Huang, H. Zhang, G. Zhang, and J. Wang, “Robust weighted gain scheduling H∞ vehicle lateral motion control with considerations of steering system backlash-type hysteresis,” IEEE Transactions on Control Systems Technology, vol. 22, no. 5, pp. 1740–1753, 2014.
C. Latrach, M. Kchaou, A. E. Hajjaji, and A. Rahbi, “Robust H∞ fuzzy networked control for vehicle lateral dynamics,” in Proc. of IEEE Annual Conference on Intelligent Transportation Systems, 2013, pp. 905–910.
R. Wang, Y. Sun, M. Lin, and H. Zhang, “Research on bus roll stability control based on LQR,” in Proc. of International Conference on Intelligent Transportation, Big Data and Smart City, 2015, pp. 622–625.
S. Lee and C. Chung, “Predictive control with sliding mode for autonomous driving vehicle lateral manoeuvring,” in Proc. of American Control Conference, 2017, pp. 2998–3003.
G. Tagne, R. Talj, and A. Charara, “Higher-order sliding mode control for lateral dynamics of autonomous vehicles, with experimental validation,” in Proc. of IEEE Intelligent Vehicles Symposium, 2013, pp. 678–683.
C. Hatipoglu, U. Ozguner, and K. Redmill, “Automated lane change controller design,” IEEE Transactions on Intelligent Transportation Systems, vol. 4, no. 1, pp. 13–22, 2003.
B. Gutjahr, L. Gr¨ oll, and M. Werling, “Lateral vehicle trajectory optimization using constrained linear time-varying MPC,” IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 6, pp. 1586– 1595, 2017.
J. Levinson, J. Askeland, J. Becker, J. Dolson, D. Held, S. Kammel, J. Kolter, D. Langer, O. Pink, V. Pratt, M. Sokolsky, G. Stanek, D. Stavens, A. Teichman, M. Werling, and S. Thrun, “Higher-order sliding mode control for lateral dynamics of autonomous vehicles, with experimental validation,” in Proc. of IEEE Intelligent Vehicles Symposium, 2011, pp. 163–168.
P. Falcone, F. Borrelli, J. Asgari, H. Tseng, and D. Hrovat, “Predictive active steering control for autonomous vehicle systems,” IEEE Transactions on Control Systems Technology, vol. 15, no. 3, pp. 566–580, 2007.
J.Ahmadi, A.Sedigh, and.Kabganian, “Adaptivevehiclelateral-plane motion control using optimal tire friction forces with saturation limits consideration,” IEEE Transactions on Vehicular Technology, vol. 58, no. 8, pp. 4098–4107, 2009.
J. Ni, J. Hu, and C. Xiang, “Envelope control for four-wheel independently actuated autonomous ground vehicle through AFS/DYC integrated control,” IEEE Transactions on Vehicular Technology, vol. PP, no. 99, pp. 1–1, 2017.
S.Dominguez,A.Ali, G.Garcia, and.Martinet, “Comparisonoflateral controllers for autonomous vehicle: Experimental Results,” in Proc. of IEEE Conference on Intelligent Transportation Systems, 2016, pp. 1418– 1423.
G. Tagne, R. Talj, and A. Charara, “Design and comparison of robust nonlinear controllers for the lateral dynamics of intelligent vehicles,” IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 3, pp. 796–809, 2016.
M. Samuel, M. Mohamad, M. Hussein, and S. Saad, “Development of Lane-keeping Controller Using Image processing,” Int. J. Comput. Netw. Technol., vol. Volume 6, no. Issue 3, pp. 0–4, 2018.
M. Samuel, M. Mohamad, S. M. Saad, and M. Hussein, “Development of Edge-Based Lane Detection Algorithm using Image Processing,” JOIV Int. J. Informatics Vis., vol. 2, no. 1, pp. 19–22, 2018.
M. A. Hassan and M. Samuel, “Study Of Vehicle Handling Characteristics In Design Of Autonomous Vehicle For Sustainable Transportation,” vol. 4, no. 8, pp. 7857–7860, 2017.
M. Samuel, “Comparative Analysis of Lane Detection Method Using Matlab,” no. December, pp. 25–31, 2016.
A. Gray, Y. Gao, T. Lin, J. K. Hedrick, and F. Borrelli, “Stochastic predictive control for semi-autonomous vehicles with an uncertain driver model,” in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2013, pp. 2329–2334, doi: 10.1109/ITSC.2013.6728575.
H. M. Abdulsalam, O. T. Charles, and B. Ahmed, “The Influence of Silicon Carbide Particulate Loading on Tensile , Compressive and Impact Strengths of Al-Sicp Composite for Sustainable Development,” vol. 63, no. Mmc, pp. 619–624, 2018, doi: 10.3303/CET1863104
M. Samuel, “Performance and Robustness Analysis of Model Predictive Controller ( MPC ) and Proportional Integral Derivative Control ( PID ) of an Autonomous Vehicle for Lane Keeping Maneuvers,” no. December, 2020, doi: 10.20944/preprints201912.0404.v1.
M. Samuel, S. M. Ajibade, and F. F. Moveh, “A . I . Driven Thermal People Counting for Smart Window Facade Using Portable Low ‐ Cost Miniature Thermal Imaging S ensors,” no. January, 2020, doi: 10.20944/preprints202001.0067.v1.
DOI: https://doi.org/10.18196/jrc.2256
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