Adaptive Fuzzy Trajectory Tracking Control of an Under-Actuated Autonomous Underwater Vehicle Subject to Actuator Saturation
Tóm tắt
Từ khóa
Tài liệu tham khảo
Huang, H.C., Chiang, C.H.: Backstepping holonomic tracking control of wheeled robots using an evolutionary fuzzy system with qualified ant colony optimization. Int. J. Fuzzy Syst. 18(1), 28–40 (2016)
Ju, Z., Liu, H.: A unified fuzzy framework for human-hand motion recognition. IEEE Trans. Fuzzy Syst. 19(5), 901–913 (2011)
Lu, X.G., Liu, M., Liu, J.X.: Design and optimization of interval type-2 fuzzy logic controller for delta parallel robot trajectory control. Int. J. Fuzzy Syst. 19(1), 190–206 (2017)
Wang, N., Er, M.J.: Direct adaptive fuzzy tracking control of marine vehicles with fully unknown parametric dynamics and uncertainties. IEEE Trans. Control Syst. Technol. 24(5), 1845–1852 (2016)
Xiang, X., Yu, C., Zhang, Q.: On intelligent risk analysis and critical decision of underwater robotic vehicle. Ocean Eng. 140, 453–465 (2017)
Yu, C., Xiang, X., Lapierre, L., Zhang, Q.: Nonlinear guidance and fuzzy control for three-dimensional path following of an underactuated autonomous underwater vehicle. Ocean Eng. (2017)
Hussain, N.A.A., Arshad, M.R., Mohd-Mokhtar, R.: Underwater glider modelling and analysis for net buoyancy, depth and pitch angle control. Ocean Eng. 38(16), 1782–1791 (2011)
Mišković, N., Bibuli, M., Birk, A., Caccia, M., Egi, M., Grammer, K., Marroni, A., Neasham, J., Pascoal, A., Vasilijević, A., et al.: Caddy-cognitive autonomous diving buddy: two years of underwater human–robot interaction. Mar. Technol. Soc. J. 50(4), 54–66 (2016)
Sun, B., Zhu, D., Yang, S.X.: A bioinspired filtered backstepping tracking control of 7000-m manned submarine vehicle. IEEE Trans. Ind. Electron. 61(7), 3682–3693 (2014)
Xiang, X., Jouvencel, B., Parodi, O.: Coordinated formation control of multiple autonomous underwater vehicles for pipeline inspection. Int. J. Adv. Rob. Syst. 7(1), 75–84 (2010)
Xiang, X., Yu, C., Niu, Z., Zhang, Q.: Subsea cable tracking by autonomous underwater vehicle with magnetic sensing guidance. Sensors 16(8), 1335 (2016)
Xiang, X., Yu, C., Zheng, J., Xu, G.: Motion forecast of intelligent underwater sampling apparatus-part i: design and algorithm. Indian J. Geo Mar. Sci. 44(12), 1962–1970 (2015)
Zhang, L., Jouvencel, B., Fang, Z., Xiang, X.: 3d reconstruction of seabed surface through sonar data of AUVs. Indian J. Geo Mar. Sci. 41(6), 509–515 (2012)
Wang, N., Lv, S., Er, M.J., Chen, W.H.: Fast and accurate trajectory tracking control of an autonomous surface vehicle with unmodelled dynamics and disturbances. IEEE Trans. Intell. Veh. 1(3), 230–243 (2016)
Wang, N., Qian, C., Sun, J.C., Liu, Y.C.: Adaptive robust finite-time trajectory tracking control of fully actuated marine surface vehicles. IEEE Trans. Control Syst. Technol. 24(4), 1454–1462 (2016)
Xia, Y., Xu, G., Xu, K., Chen, Y., Xiang, X., Ji, Z.: Dynamics and control of underwater tension leg platform for diving and leveling. Ocean Eng. 109, 454–478 (2015)
Zhu, D., Huang, H., Yang, S.X.: Dynamic task assignment and path planning of multi-auv system based on an improved self-organizing map and velocity synthesis method in three-dimensional underwater workspace. IEEE Trans. Cybern. 43(2), 504–514 (2013)
Wang, N., Er, M.J., Sun, J.C., Liu, Y.C.: Adaptive robust online constructive fuzzy control of a complex surface vehicle system. IEEE Trans. Cybern. 46(7), 1511–1523 (2016)
Xiang, X., Lapierre, L., Jouvencel, B.: Smooth transition of auv motion control: from fully-actuated to under-actuated configuration. Rob. Auton. Syst. 67, 14–22 (2015)
Fischer, N., Hughes, D., Walters, P., Schwartz, E.M., Dixon, W.E.: Nonlinear rise-based control of an autonomous underwater vehicle. IEEE Trans. Rob. 30(4), 845–852 (2014)
Maalouf, D., Chemori, A., Creuze, V.: L1 adaptive depth and pitch control of an underwater vehicle with real-time experiments. Ocean Eng. 98, 66–77 (2015)
Gao, J., An, X., Proctor, A., Bradley, C.: Sliding mode adaptive neural network control for hybrid visual servoing of underwater vehicles. Ocean Eng. 142, 666–675 (2017)
Chu, Z., Zhu, D., Jan, G.E.: Observer-based adaptive neural network control for a class of remotely operated vehicles. Ocean Eng. 127, 82–89 (2016)
Cui, R., Yang, C., Li, Y., Sharma, S.: Adaptive neural network control of auvs with control input nonlinearities using reinforcement learning. IEEE Trans. Syst. Man Cybern. Syst. 47(6), 1019–1029 (2017)
Peng, Z., Wang, J., Wang, D.: Containment maneuvering of marine surface vehicles with multiple parameterized paths via spatial-temporal decoupling. IEEE/ASME Trans. Mechatron. 22(2), 1026–1036 (2017)
Peng, Z., Wang, J., Wang, D.: Distributed containment maneuvering of multiple marine vessels via neurodynamics-based output feedback. IEEE Trans. Ind. Electron. 64(5), 3831–3839 (2017)
Zhang, G., Cai, Y., Zhang, W.: Robust neural control for dynamic positioning ships with the optimum-seeking guidance. IEEE Trans. Syst. Man Cybern. Syst. 47(7), 1500–1509 (2017)
Zhang, Q., Liu, R., Chen, W., Xiong, C.: Simultaneous and continuous estimation of shoulder and elbow kinematics from surface emg signals. Front. Neurosci. 11, 1–12 (2017). doi: 10.3389/fnins.2017.00280
Do, K.D.: Global robust adaptive path-tracking control of underactuated ships under stochastic disturbances. Ocean Eng. 111, 267–278 (2016)
Li, J.H., Lee, P.M., Jun, B.H., Lim, Y.K.: Point-to-point navigation of underactuated ships. Automatica 44(12), 3201–3205 (2008)
Peng, Z., Wang, J. (2017) Output-feedback path-following control of autonomous underwater vehicles based on an extended state observer and projection neural networks. IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2017.2697447
Xiang, X., Yu, C., Zhang, Q., Xu, G.: Path-following control of an auv: fully actuated versus under-actuated configuration. Mar. Technol. Soc. J. 50(1), 34–47 (2016)
Lapierre, L., Soetanto, D.: Nonlinear path-following control of an auv. Ocean Eng. 34(11–12), 1734–1744 (2007)
Fossen, T.I., Pettersen, K.Y., Galeazzi, R.: Line-of-sight path following for dubins paths with adaptive sideslip compensation of drift forces. IEEE Trans. Control Syst. Technol. 23(2), 820–827 (2015)
Caharija, W., Pettersen, K.Y., Bibuli, M., Calado, P., Zereik, E., Braga, J., Gravdahl, J.T., Sorensen, A.J., Milovanovic, M., Bruzzone, G.: Integral line-of-sight guidance and control of underactuated marine vehicles: theory, simulations, and experiments. IEEE Trans. Control Syst. Technol. 24(5), 1623–1642 (2016)
Bechlioulis, C.P., Karras, G.C., Heshmati-Alamdari, S., Kyriakopoulos, K.J.: Trajectory tracking with prescribed performance for underactuated underwater vehicles under model uncertainties and external disturbances. IEEE Trans. Control Syst. Technol. 25(2), 429–440 (2017)
Xiang, X., Yu, C., Zhang, Q.: Robust fuzzy 3d path following for autonomous underwater vehicle subject to uncertainties. Comput. Oper. Res. 84, 165–177 (2017)
Su, H., Qiu, Y., Wang, L.: Semi-global output consensus of discrete-time multi-agent systems with input saturation and external disturbances. ISA Trans. 67, 131–139 (2017)
Wang, X., Su, H., Wang, X., Chen, G.: Fully distributed event-triggered semiglobal consensus of multi-agent systems with input saturation. IEEE Trans. Ind. Electron. 64(6), 5055–5064 (2017)
Zheng, Z., Sun, L., Xie, L.: Error-constrained los path following of a surface vessel with actuator saturation and faults. IEEE Trans. Syst. Man Cybern. Syst. (2017). doi: 10.1109/TSMC.2017.2717850
Chen, M., Jiang, B.: Adaptive control and constrained control allocation for overactuated ocean surface vessels. Int. J. Syst. Sci. 44(12), 2295–2309 (2013)
Harmouche, M., Laghrouche, S., Chitour, Y.: Global tracking for underactuated ships with bounded feedback controllers. Int. J. Control 87(10), 2035–2043 (2014)
Naik, M.S., Singh, S.N.: State-dependent riccati equation-based robust dive plane control of AUV with control constraints. Ocean Eng. 34(11), 1711–1723 (2007)
Wai, R.J., Lin, C.M., Hsu, C.F.: Adaptive fuzzy sliding-mode control for electrical servo drive. Fuzzy Sets Syst. 143(2), 295–310 (2004)
Wang, L.X., Mendel, J.M.: Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. IEEE Trans. Neural Netw. 3(5), 807–814 (1992)
Lefeber, A.A.J.: Tracking control of nonlinear mechanical systems. Ph.D. thesis, University of Twente (2000)
Slotime, J.J.E., Li, W.: Applied Nonlinear Control. Prentice-Hall, Englewood Cliffs (1991)
Prestero, T.: Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle. Master’s thesis, Massachusetts Institute of Technology (2001)
Liang, X., Qu, X., Hou, Y., Zhang, J.: Three-dimensional path following control of underactuated autonomous underwater vehicle based on damping backstepping. Int. J. Adv. Rob. Syst. 14(4), 1–9 (2017)
Wang, N., Qian, C., Sun, Z.Y.: Global asymptotic output tracking of nonlinear second-order systems with power integrators. Automatica 80, 156–161 (2017)
Zheng, Z., Huang, Y., Xie, L., Zhu, B.: Adaptive trajectory tracking control of a fully actuated surface vessel with asymmetrically constrained input and output. IEEE Trans. Control Syst. Technol. (2017). doi: 10.1109/TCST.2017.2728518
Qiao, L., Yi, B., Wu, D., Zhang, W.: Design of three exponentially convergent robust controllers for the trajectory tracking of autonomous underwater vehicles. Ocean Eng. 134, 157–172 (2017)
Wang, N., Su, S.F., Yin, J., Zheng, Z., Er, M.J.: Global asymptotic model-free trajectory-independent tracking control of an uncertain marine vehicle: an adaptive universe-based fuzzy control approach. IEEE Trans. Fuzzy Syst. (2017). doi: 10.1109/TFUZZ.2017.2737405
Xiang, X., Liu, C., Su, H., Zhang, Q.: On decentralized adaptive full-order sliding mode control of multiple uavs. ISA Trans. (2017). doi: 10.1016/j.isatra.2017.09.008
Zhang, Q., Lapierre, L., Xiang, X.: Distributed control of coordinated path tracking for networked nonholonomic mobile vehicles. IEEE Trans. Ind. Inform. 9(1), 472–484 (2013)