Generic placeholder image

Recent Patents on Engineering

Editor-in-Chief

ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

Research Article

Trajectory Tracking Control for Small Electric Sweeper Based on the Hybrid Control Method

Author(s): Xiaowei Li*, Qing Li and Junhui Zhang

Volume 17, Issue 5, 2023

Published on: 04 October, 2022

Article ID: e150922208840 Pages: 12

DOI: 10.2174/1872212117666220915113501

Price: $65

Abstract

Background: Trajectory tracking, one of the critical automatic driving technologies, is significant for the operation of small electric sweepers working in complex road environments, such as campuses and closed parks.

Methods: This paper investigates a trajectory tracking control system for small self-driving electric sweepers on roads with different operating speed requirements. A hybrid control method combining sliding mode control and model predictive control is proposed, with sliding mode control operating under low-speed (<2 m/s) conditions, and model predictive control operating under high-speed (>2 m/s) conditions. An improved sliding mode controller based on the kinematic model is designed to reduce chattering, and a model predictive controller based on the dynamics model is constructed.

Results: Finally, the performance of the hybrid control method is verified using the MATLAB/ Simulink platform.

Conclusion: The simulation results prove the effectiveness of the hybrid control method and the good tracking performance of the electric sweeper at different driving speeds.

Keywords: Small sweeper, trajectory tracking control, sliding mode control, model predictive control, hybrid control method, autonomous vehicles.

Graphical Abstract

[1]
P. Wang, S. Gao, L. Li, B. Sun, and S. Cheng, "Obstacle avoidance path planning design for autonomous driving vehicles based on an improved artificial potential field algorithm", Energies, vol. 12, no. 12, p. 2342, 2019.
[http://dx.doi.org/10.3390/en12122342]
[2]
Y. Zhang, P. Agarwal, V. Bhatnagar, S. Balochian, and J. Yan, "Swarm intelligence and its applications", In: The Scientifice World Jo., vol. 2013. 2013.
[3]
Y. Zhang, P. Agarwal, V. Bhatnagar, S. Balochian, and X. Zhnag, "Swarm intelligence and its applications 2014", In: The Scientifice World Jo., vol. 2014. 2014.
[4]
RR. Nigmatullin, VS. Alexandrov, P. Agarwal, and S. Jain, "Description of multi-periodic signals generated by complex systems: NOCFASS-New possibilities of the Fourier analysis", Numer. Algebra, Control. Optim., 2022.
[5]
A. Singh, P. Agarwal, and M. Chand, "Image encryption and analysis using dynamic AES", 2019 5th International Conference on Optimization and Applications (ICOA), Kenitra, Morocco, 2019, pp. 25-26.
[http://dx.doi.org/10.1109/ICOA.2019.8727711]
[6]
H. Min, X. Zhu, B. Yan, and Y. Yu, "Research on visual algorithm of road garbage based on intelligent con-trol of road sweeper", Proceedings of the 4th Annual International Conference on Information System and Artificial Intelligence, Changsha, China, 2019, pp. 17-18.
[7]
T. Yin, "The design of unmanned garbage sweeper and the application of Beidou navigation and positioning system", New Technology New Products of China, vol. 16, pp. 19-20, 2019.
[8]
Z. Shi, H. Jiang, W. Yu, Y. Liu, X. Jiang, and M. Jiang, "Research on adaptive MPC algorithm for path tracking control", Comp. Eng. Appl., vol. 56, pp. 266-271, 2020.
[9]
J. Bohren, T. Foote, J. Keller, A. Kushleyev, D. Lee, A. Stewart, and P. Vernaza, "Little ben: The ben franklin racing team’s entry in the 2007 DARPA urban challenge", J. Field Robot., vol. 25, pp. 598-614, 2008.
[http://dx.doi.org/10.1002/rob.20260]
[10]
S. Wang, C. Yin, J. Gao, and Q. Sun, "Lateral displacement control for agricultural tractor based on cascade control structure", Int. J. Control. Autom. Syst., vol. 18, no. 9, pp. 2375-2385, 2020.
[http://dx.doi.org/10.1007/s12555-019-0428-3]
[11]
M. Park, and Y. Kang, "Experimental verification of a drift controller for autonomous vehicle tracking: A circular trajectory using LQR method", Int. J. Control. Autom. Syst., vol. 19, no. 1, pp. 404-416, 2021.
[http://dx.doi.org/10.1007/s12555-019-0757-2]
[12]
S. Xu, and H. Peng, "Design, analysis, and experiments of preview path tracking control for autonomous vehicles", IEEE Trans. Intell. Transp. Syst., vol. 21, no. 1, pp. 48-58, 2020.
[http://dx.doi.org/10.1109/TITS.2019.2892926]
[13]
C. Hu, L. Zhao, L. Cao, P. Tjan, and N. Wang, "Steering control based on model predictive control for obstacle avoidance of unmanned ground vehicle", Meas. Control, vol. 53, no. 3-4, pp. 501-518, 2020.
[http://dx.doi.org/10.1177/0020294019878871]
[14]
X. Zhang, and X. Zhu, "Autonomous path tracking control of intelligent electric vehicles based on lane detection and optimal preview method", Expert Syst. Appl., vol. 121, pp. 38-48, 2019.
[http://dx.doi.org/10.1016/j.eswa.2018.12.005]
[15]
G.V. Raffo, G.K. Gomes, J.E. Normey-Rico, C.R. Kelber, L.B. Becker, and J.E. Normey-Rico, "A predictive controller for autonomous vehicle path tracking", IEEE Trans. Intell. Transp. Syst., vol. 10, no. 1, pp. 92-102, 2009.
[http://dx.doi.org/10.1109/TITS.2008.2011697]
[16]
M.U. Cuma, and T. Koroglu, "A comprehensive review on estimation strategies used in hybrid and battery electric vehicles", Renew. Sustain. Energy Rev., vol. 42, pp. 517-531, 2015.
[http://dx.doi.org/10.1016/j.rser.2014.10.047]
[17]
X. Zhou, and J. Zhou, "Optimization of autonomous driving state control of low energy consumption pure electric agricultural vehicles based on environmental friendliness", Environ. Sci. Pollut. Res. Int., vol. 28, no. 35, pp. 48767-48784, 2021.
[http://dx.doi.org/10.1007/s11356-021-14125-9]
[18]
M. Cui, H. Liu, W. Liu, and Y. Qin, "An adaptive unscented kalman filter-based controller for simultane- ous obstacle avoidance and tracking of wheeled mobile robots with unknown slipping parameters", J. Intell. Robot. Syst., vol. 92, no. 3-4, pp. 489-504, 2018.
[http://dx.doi.org/10.1007/s10846-017-0761-9]
[19]
X. Wang, K. Xu, L. Xu, Z. Miao, and J. Zhou, Hinged sweeper kinematic modeling and path tracking control. Proceedings of the 2019 Chinese Intelligent Systems Conference, Haikou, China, 2019, pp. 26-27.
[20]
N.H. Amer, H. Zamzuri, K. Hudha, and Z.A. Kadir, "Modelling and control strategies in path tracking control for autonomous ground vehicles: A review of state of the art and challenges", J. Intell. Robot. Syst., vol. 86, no. 2, pp. 225-254, 2017.
[http://dx.doi.org/10.1007/s10846-016-0442-0]
[21]
E. Alcala, V. Puig, J. Quevedo, T. Escobet, and R. Comasolivas, "Autonomous vehicle control using a kinematic Lyapunov-based technique with LQR-LMI tuning", Control Eng. Pract., vol. 73, pp. 1-12, 2018.
[http://dx.doi.org/10.1016/j.conengprac.2017.12.004]
[22]
D. Zeng, Z. Yu, L. Xiong, Z. Fu, Z. Li, P. Zhang, B. Leng, and F. Shan, "HFO-LADRC lateral motion controller for autonomous road sweeper", Sensors (Basel), vol. 20, no. 8, p. 2274, 2020.
[http://dx.doi.org/10.3390/s20082274]
[23]
X. Jin, J. Wang, S. Sun, S. Li, J. Yang, and Z. Yan, "Design of constrained robust controller for active suspension of in-wheel-drive electric vehicles", Mathematics, vol. 9, no. 3, p. 249, 2021.
[http://dx.doi.org/10.3390/math9030249]
[24]
L. Yang, M. Yue, and T. Ma, "Path following predictive control for autonomous vehicles subject to uncertain tire-ground adhesion and varied road curvature", Int. J. Control. Autom. Syst., vol. 17, no. 1, pp. 193-202, 2019.
[http://dx.doi.org/10.1007/s12555-017-0457-8]
[25]
J. Yu, X. Guo, X. Pei, Z. Chen, M. Zhu, and B. Gong, "Robust model predictive control for path tracking of au-tonomous vehicle", SAE. Technical. Paper., 2019.
[26]
X. Song, Y. Shao, and Z. Qu, "A vehicle trajectory tracking method with a time-varying model based on the model predictive control", IEEE Access, vol. 8, pp. 16573-16583, 2020.
[http://dx.doi.org/10.1109/ACCESS.2019.2963291]
[27]
Q. Cui, R. Ding, B. Zhou, and X. Wu, "Path-tracking of an autonomous vehicle via model predictive control and nonlinear filtering", In: Pi, Mech, Eng, D-J, Aut., vol. 232, no. 9, p. 1237-1252, 2018.
[28]
K. Berntorp, R. Quirynen, T. Uno, and S. Di Cairano, "Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control", Veh. Syst. Dyn., vol. 58, no. 5, pp. 705-725, 2020.
[http://dx.doi.org/10.1080/00423114.2019.1697456]
[29]
C. Sun, X. Zhang, Q. Zhou, and Y. Tian, "A model predictive controller with switched tracking error for au- tonomous vehicle path tracking", IEEE Access, vol. 7, pp. 53103-53114, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2912094]
[30]
Q. Yao, Y. Tian, Q. Wang, and S. Wang, "Control strategies on path tracking for autonomous vehicle: State of the art and future challenges", IEEE Access, vol. 8, pp. 161211-161222, 2020.
[http://dx.doi.org/10.1109/ACCESS.2020.3020075]
[31]
M. Herrera, O. Camacho, H. Leiva, and C. Smith, "An approach of dynamic sliding mode control for chemical processes", J. Process Contr., vol. 85, pp. 112-120, 2020.
[http://dx.doi.org/10.1016/j.jprocont.2019.11.008]
[32]
G. Tagne, R. Talj, and A. Charara, Higher-order sliding mode control for lateral dynamics of autonomous vehicles, with experimental validation. Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), Gold Coast, QLD, 2013, pp. 23-26.
[33]
J.R. Zhang, S.J. Xu, and A. Rachid, Sliding mode controller for automatic steering of vehicles. IECON'01. 27th Annual Conference of the IEEE Indus-trial Electronics Society (Cat. No. 37243), Denver, USA, 2001, p. 2149-2153.
[34]
T. Mahmood, and T. Nayl, "Design of a continuous sliding mode controller for path tracking of an articulated vehicle", Iraqi J. Comput. Commun. Control. Sys. Eng, vol. 17, pp. 71-82, 2017.
[35]
M. Shirzadeh, M.H. Shojaeefard, A. Amirkhani, and H. Behroozi, Adaptive fuzzy nonlinear sliding-mode controller for a car-like robot. Proceedings of the 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), Tehran, Iran, 2019, pp. 686-691.
[http://dx.doi.org/10.1109/KBEI.2019.8734995]
[36]
L. Li, J. Lian, M. Wang, and M. Li, "Fuzzy sliding mode lateral control of intelligent vehicle based on vision", Adv. Mech. Eng., vol. 5, p. 216862, 2013.
[http://dx.doi.org/10.1155/2013/216862]
[37]
A.S. Matveev, M. Hoy, J. Katupitiya, and A.V. Savkin, "Nonlinear sliding mode control of an unmanned agricultural tractor in the presence of sliding and control saturation", Robot. Auton. Syst., vol. 61, no. 9, pp. 973-987, 2013.
[http://dx.doi.org/10.1016/j.robot.2013.05.003]
[38]
P. Wang, S. Gao, L. Li, S. Cheng, and L. Zhao, "Automatic steering control strategy for unmanned vehicles based on robust backstepping sliding mode control theory", IEEE Access, vol. 7, pp. 64984-64992, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2917507]
[39]
J. Guldner, V.I. Utkin, and J. Ackermann, A sliding mode control approach to automatic car steering. Proceedings of the 1994 American Control Conference-ACC, vol. 94. Baltimore, MD, 1994, pp. 1969-1973.
[40]
C. Hu, Z. Wang, H. Taghavifar, J. Na, Y. Qin, J. Guo, and C. Wei, "MME-EKF-based path-tracking control of autonomous vehicles considering input saturation", IEEE Trans. Vehicular Technol., vol. 68, no. 6, pp. 5246-5259, 2019.
[http://dx.doi.org/10.1109/TVT.2019.2907696]
[41]
L. Guo, P. Ge, X. Yang, and B. Li, Intelligent vehicle trajectory tracking based on neural networks sliding mode control. Proceedings of the 2014 International Conference on Informative and Cybernetics for Compu- tational Social Systems (ICCSS), Qingdao, China, 2014, p. 57-62.
[http://dx.doi.org/10.1109/ICCSS.2014.6961816]
[42]
L. Hajjami, E. Mellouli, and M. Berrada, Neural network based sliding mode lateral control for auton- omous vehicle. Proceedings of the 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Meknes, Morocco, 2020, p. 16-19.
[43]
Z. Sun, J. Zou, D. He, Z. Man, and J. Zheng, "Collision-avoidance steering control for autonomous vehicles using neural network-based adaptive integral terminal sliding mode", J. Intell. Fuzzy Syst., vol. 39, no. 3, pp. 4689-4702, 2020.
[http://dx.doi.org/10.3233/JIFS-200625]
[44]
C. Yin, S. Wang, X. Li, G. Yuan, and C. Jiang, "Trajectory tracking based on adaptive sliding mode control for agricultural tractor", IEEE Access, vol. 8, pp. 113021-113029, 2020.
[http://dx.doi.org/10.1109/ACCESS.2020.3002814]
[45]
C. Liu, S. Lee, S. Varnhagen, and H. Tseng, Path planning for autonomous vehicles using model predictive control. Proceedings of the 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, USA, 2017, pp. 11-14.

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy