Research Papers

Tracking Design of an Omni-Direction Autonomous Ground Vehicle by Hierarchical Enhancement Using Fuzzy Second-Order Variable Structure Control

[+] Author and Article Information
Chih-Lyang Hwang

Department of Electrical Engineering,
National Taiwan University of
Science and Technology,
43, Section 4, Keelung Road,
Taipei 10607, Taiwan, China
e-mails: clhwang@mail.ntust.edu.tw;

Yunta Lee

Department of Electrical Engineering,
National Taiwan University of
Science and Technology,
43, Section 4, Keelung Road,
Taipei 10607, Taiwan, China
e-mail: teddy.eed00@g2.nctu.edu.tw

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received January 10, 2017; final manuscript received December 19, 2017; published online April 4, 2018. Editor: Joseph Beaman.

J. Dyn. Sys., Meas., Control 140(9), 091005 (Apr 04, 2018) (11 pages) Paper No: DS-17-1017; doi: 10.1115/1.4039277 History: Received January 10, 2017; Revised December 19, 2017

Owing to the hierarchical architecture of the derived model of the omni-direction autonomous ground vehicle (OD-AGV), the virtual desired trajectory (VDT) is first designed by the first switching surface, which is set as the linear dynamic pose error of the OD-AGV. In sequence, the trajectory tracking control (TTC) is designed by the second switching surface, which is the linear dynamic tracking error of the VDT. To deal with nonlinear time-varying uncertainties including system disturbance and different ground conditions, enhanced fuzzy second-order variable structure control (EF2VSC) is designed into both VDT and TTC. Finally, the experiments for tracking the circular trajectories with different curvatures, traveling velocities, and poses of the OD-AGV are presented to validate the effectiveness and robustness of the proposed hierarchical enhancement using fuzzy second-order variable structure control (HEF2VSC).

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Tsai, C. C. , Huang, H. C. , and Chan, C. K. , 2011, “ Parallel Elite Genetic Algorithm and Its Application to Global Path Planning for Autonomous Robot Navigation,” IEEE Trans. Ind. Electron, 58(10), pp. 4813–4823. [CrossRef]
Jung, E. J. , Lee, J. H. , Yi, B. J. , Park, J. , Yuta, S. , and Noh, S. T. , 2014, “ Development of a Laser-Range-Finder-Based Human Tracking and Control Algorithm for a Marathoner Service Robot,” IEEE/ASME Trans. Mechatronics, 19(6), pp. 1963–1976. [CrossRef]
Hwang, C. L. , 2016, “ Comparison of Path Tracking Control of a Car-Like Mobile Robot With and Without Motor Dynamics,” IEEE/ASME Trans. Mechatronics, 21(4), pp. 1801–1811. [CrossRef]
Wang, R. , Hu, C. , Yan, F. , and Chadli, M. , 2016, “ Composite Nonlinear Feedback Control for Path Following of Four-Wheel Independently Actuated Autonomous Ground Vehicles,” IEEE Trans. Intell. Transp. Syst., 17(7), pp. 2063–2074. [CrossRef]
Kim, H. S. , and Song, J. B. , 2014, “ Multi-DOF Counter Balance Mechanism for a Service Robot Arm,” IEEE/ASME Trans. Mechatronics, 19(6), pp. 1756–1763. [CrossRef]
Han, S. I. , and Lee, J. M. , 2015, “ Balancing and Velocity Control of a Unicycle Robot Based on the Dynamic Model,” IEEE Trans. Ind. Electron, 62(1), pp. 405–413. [CrossRef]
Loureiro, R. , Benmoussa, S. , Touati, Y. , Merzouki, R. , and Bouamama, B. O. , 2014, “ Integration of Fault Diagnosis and Fault-Tolerant Control for Health Monitoring of a Class of MIMO Intelligent Autonomous Vehicles,” IEEE Trans. Veh. Technol., 63(1), pp. 30–39. [CrossRef]
Barreto S, J. C. L. , Conceic¸ão, A. G. S. , Dórea, C. E. T. , Martinez, L. , and de Pieri, E. R. , 2014, “ Design and Implementation of Model-Predictive Control With Friction Compensation on an Omnidirectional Mobile Robot,” IEEE/ASME Trans. Mechatronics, 19(2), pp. 467–476. [CrossRef]
Tagne, G. , Talj, R. , and Charara, A. , 2016, “ Design and Comparison of Robust Nonlinear Controllers for the Lateral Dynamics of Intelligent Vehicles,” IEEE Trans. Intell. Transp. Syst., 17(3), pp. 796–809. [CrossRef]
Lian, C. , Xu, X. , Chen, H. , and He, H. , 2016, “ Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming,” IEEE Trans. Cybern, 46(11), pp. 2484–2496. [CrossRef] [PubMed]
Lin, F. J. , Chou, P. H. , Shieh, P. H. , and Chen, S. Y. , 2009, “ Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network,” IEEE Trans. Ind. Electron., 56(1), pp. 178–193. [CrossRef]
Kayacan, E. , Kayacan, E. , Ramon, H. , Kaynak, O. , and Saeys, W. , 2015, “ Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers,” IEEE/ASME Trans. Mechatronics, 20(1), pp. 287–297. [CrossRef]
Sun, Z. , Zheng, J. , Man, Z. , and Wang, H. , 2016, “ Robust Control of a Vehicle Steer-by-Wire System Using Adaptive Sliding Mode,” IEEE Trans. Ind. Electron., 63(4), pp. 2251–2262.
Li, Z. , Deng, J. , Lu, R. , Xu, Y. , Bai, J. , and Su, C. Y. , 2016, “ Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach,” IEEE Trans. Syst. Man Cyber., Syst., 46(6), pp. 740–749. [CrossRef]
Hwang, C. L. , and Fung, W. L. , 2016, “ Global Fuzzy Adaptive Hierarchical Variable Structure Control for Trajectory Tracking of a Mobile Robot With Huge Uncertainties,” IEEE Trans. Fuzzy Syst., 24(3), pp. 724–740. [CrossRef]
Licea, D. B. , Ghogho, M. , McLernon, D. , and Zaidi, S. A. R. , 2016, “ Mobility Diversity-Assisted Wireless Communication for Mobile Robots,” IEEE Trans. Rob., 32(1), pp. 214–229. [CrossRef]
Suh, J. , You, S. , Choi, S. , and Oh, S. , 2016, “ Vision-Based Coordinated Localization for Mobile Sensor Networks,” IEEE Trans. Autom. Sci. Eng., 13(2), pp. 611–620. [CrossRef]
Taeed, F. , Salam, Z. , and Ayob, S. M. , 2012, “ FPGA Implementation of a Single-Input Fuzzy Logic Controller for Boost Converter With the Absence of an External Analog-to-Digital Converter,” IEEE Trans. Ind. Electron, 59(2), pp. 1208–1217. [CrossRef]
Zaheer, S. A. , Choi, S. H. , Jung, C. Y. , and Kim, J. H. , 2015, “ A Modular Implementation Scheme for Nonsingleton Type-2 Fuzzy Logic Systems With Input Uncertainties,” IEEE/ASME Trans. Mechatronics, 20(6), pp. 3182–3192. [CrossRef]
Masmoudi, M. S. , Krichen, N. , Masmoudi, M. , and Derbel, N. , 2016, “ Fuzzy Logic Controllers Design for Omnidirectional Mobile Robot Navigation,” Appl. Soft Comput., 49(6), pp. 901–919. [CrossRef]
Mendel, J. , Hagras, H. , Tan, W. W. , Melek, W. W. , and Ying, H. , 2014, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications, IEEE Press and Wiley, Hoboken, NJ.
Hwang, C. L. , Chiang, C. C. , and Yeh, Y. W. , 2014, “ Adaptive Fuzzy Hierarchical Sliding-Mode Control for the Trajectory Tracking of Uncertain Under-Actuated Nonlinear Dynamic Systems,” IEEE Trans. Fuzzy Syst., 22(2), pp. 286–297. [CrossRef]
Mohammadzadeh, A. , Kaynak, O. , and Teshnehlab, M. , 2014, “ Two-Mode Indirect Adaptive Control Approach for the Synchronization of Uncertain Chaotic Systems by the Use of a Hierarchical Interval Type-2 Fuzzy Neural Network,” IEEE Trans. Fuzzy Syst., 22(5), pp. 1301–1312. [CrossRef]
Chen, G. , and Zhang, W. , 2016, “ Hierarchical Coordinated Control Method for Unmanned Robot Applied to Automotive Test,” IEEE Trans. Ind. Electron, 63(2), pp. 1039–1051. [CrossRef]
Zhang, X. X. , Li, H. X. , Wang, B. , and Ma, S. , 2017, “ A Hierarchical Intelligent Methodology for Spatiotemporal Control of Wafer Temperature in Rapid Thermal Processing,” IEEE Trans. Semicond. Manuf., 30(1), pp. 52–59. [CrossRef]
Hwang, C. L. , Yang, C. C. , and Hung, J. Y. , 2018, “ Path Tracking of an Autonomous Ground Vehicle With Different Payloads and Ground Conditions by Hierarchical Improved Fuzzy Dynamic Sliding-Mode Control,” IEEE Trans. Fuzzy Syst., epub.


Grahic Jump Location
Fig. 1

Schematic description of an OD-AGV

Grahic Jump Location
Fig. 2

The overall control block diagram

Grahic Jump Location
Fig. 3

Block diagram of the ijth EF2VSC

Grahic Jump Location
Fig. 4

Membership functions with triangular type

Grahic Jump Location
Fig. 5

The proposed OD-AGV by HEF2VSC: (a) photograph, (b) mechanism design, and (c) block diagram

Grahic Jump Location
Fig. 6

Response of the desired circular trajectory with different curvatures and traveling velocities for the OD-AGV by the proposed HEF2VSC: (a) (xd (t), yd (t)) (…) and (x (t), y(t)) (—), (b) (xd(t), yd(t), ψd(t))(…) and (x(t), y(t), ψ(t)) (—), (c) u1 (t), u2 (t), and u3 (t), (d) s11(t), s12 (t), and s13 (t); s21 (t), s22 (t), and s23 (t), and (e) ǁE1(t)ǁ and ǁE2(t

Grahic Jump Location
Fig. 7

Response of Fig. 6 case with ψd(t)=0 (a) (xd (t), yd (t)) (…) and (x (t), y(t)) (—), (b) (xd(t), yd(t), ψd(t))(…) and (x(t), y(t), ψ(t)) (—), (c) u1 (t), u2 (t), and u3 (t), (d) s11(t), s12 (t), and s13 (t); s21 (t), s22 (t), and s23 (t), and (e) ǁE1(t)ǁ and ǁE2(t



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