Abstract
The tuning of PID controller by classical technique is a monotonous job and may results in inaccurate system response. This paper proposes investigations into the development of a model-free PID controller with derivative filter (PIDF) parameter tuning method by using Particle Swarm Optimization (PSO) for depth control of Hovering Autonomous Underwater Vehicle (HAUV). PIDF controller is developed to control the speed of thrusters where 4 PIDF parameters are fine-tuned using PSO algorithms and Sum Absolute Error (SAE) and Sum Square Error (SSE) are chosen as it fitness functions. In order to confirm the design of control scheme, one degree of freedom nonlinear equation of the HAUV system in heave direction is considered. Supremacy of the proposed approach is shown by comparing the results with PID Tuner in Simulink/MATLAB. The performances of the control schemes are accessed in terms of time response specifications of depth tracking capability with the absences of added mass, hydrodynamic drag force, buoyancy force, model nonlinearities, and external disturbances on the HAUV system. Finally, it is seen from the simulation results that the proposed control technique guarantees a fast depth tracking capability.
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References
Aras, M.S.M., Abdullah, S.S., Shah, H.N.M., Rashid, M.Z.A., Aziz, M.A.A.: Robust control of adaptive single input fuzzy logic controller for unmanned underwater vehicle. J. Theor. Appl. Inf. Tech. 57(3), 372–379 (2013)
Song, Y.S., Arshad, M.R.: (2017) Robust optimal depth control of Hovering Autonomous Underwater Vehicle. In: 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS 2017), pp. 191–195. Kota Kinabalu, Sabah, Malaysia, 21 Oct 2017
Hu, B., Tian, H., Qian, J., Xie, G., Mo, L., Zhang, S.: A fuzzy-PID method to improve the depth control of AUV. In: Proceeding of 2013 IEEE International Conference on Mechatronics and Automation, pp. 1528–1533, 4–7 August 2013. Takamatu, Japan
Syahroni, N., Seo. Y.B., Choi, J.W.: Depth control of autonomous underwater vehicle based on open control platform. In: Proceedings of the 17th World Congress, International Federation of Automatic Control, pp. 3707–3712. Seoul, Korea, 6–11 July 2008
Zhang, G., Du, C., Huang, H., Wu, H.: Nonlinear depth control in under-actuated AUV. In: Proceeding of 2016 IEEE International Conference on Mechatronics and Automation, pp. 2482–2486. Harbin, China, 7–10 Aug 2016
Tao, C., Wei, Z., Jiajia, Z., Haomiao, Y., Xiaofu, L., Yue, H.: Depth control of AUV using active disturbance rejection controller. In: Proceedings of the 33rd Chinese Control Conference, pp. 7948–7952. Nanjing, China, 28–30 July 2014
Gharesi, N., Ebrahimim Z., Forouzandeh, A., Arefi, M.M.: Extended state observer-based backstepping control for depth tracking of the underactuated AUV. In: 2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA), pp. 354–358. Shiraz, Iran, 21–23 Nov 2017
Gao, D., Cheng, J., Yang, Q.: Depth control for underactuated AUV in vertical plane using optimal internal model controller. In: 2016 28th Chinese Control and Decision Conference (CCDC), pp. 5292–5296. Yinchuan, China, 28–30 May 2016
Aras, M.S.M., Abdullah, S.S., Othman, S.Y., Sulaiman, M., Basar, M.F., Zambri, M.K.M., Kamarudin, M.N.: Fuzzy logic controller for depth control of underwater remotely operated vehicle. J. Theor. Appl. Inf. Tech. 91(2), 275–288 (2016)
Tumari, M.Z.M., Ahmad, M.A., Saealal, M.S., Zawawi, M.A., Mohamed, Z., Yusop, N.M.: The direct strain feedback with PID control approach for a flexible manipulator: experimental results. In: 11th International Conference on Control, Automation and Systems (ICCAS), pp. 7–12. South Korea, 26–29 Oct 2011
Tumari, M.Z.M., Nasir, M.A., Saealal, M.S., Aziz, A.W.A., Saat, S., Suid, M.H., Ghazali, M.R.: The control scheme of vehicle steer by wire system by using PD-PID controller. In: Proceedings of Mechanical Engineering Research Day, pp. 13–14. UTeM, Melaka, 30 Mar 2017
Tumari, M.Z.M., Saealal, M.S., Rashid, W.N.A., Saat, S., Nasir, M.A.: The vehicle steer by wire control system by implementing PID Controller. J. Telecomm. Electron. Comput. Eng. (JTEC) 9(3–2), 43–47 (2017)
Noordin, A., Basri, M.A.M., Mohamed, Z., Abidin, A.F.Z.: Modelling and PSO fine-tuned PID control of quadrotor UAV. Int. J. Adv. Sci. Eng. Inf. Technol. 7(4), 1367–1373 (2017)
Girirajkumar, S.M., Jayaraj, D., Kishan, A.R.: PSO based tuning of a PID controller for a high performance drilling machine. Int. J. Comput. Appl. 1(19), 12–18 (2010)
Fossen, T.I.: Nonlinear modeling and control of underwater vehicles. Ph.D. thesis, Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, 1991
MathWorks Homepage. https://www.mathworks.com/help/slcontrol/gs/automated-tuning-of-simulink-pid-controller-block.html. Last accessed 26 June 2018
Kim, J., Joe, H., Yu, S.C., Lee, J.S., Kim, M.: Time-delay controller design for position control of autonomous underwater vehicle under disturbances. IEEE Trans. Industr. Electron. 63(2), 1052–1061 (2016)
Jaafar, H.I., Mohamed, Z., Zainal Abidin, A.F., Ab Ghani, Z.: PSO-tuned PID controller for a nonlinear gantry crane system. In: 2012 IEEE International Conference on Control System, Computing and Engineering, pp. 515–519. Penang, Malaysia, 23–25 Nov 2012
Adam, A., Zainal Abidin, A. F., Ibrahim, Z., Husain, A. R., Yusof, Z.M., Ibrahim, I.: A particle swarm optimization approach to robotic drill route optimization. In: Fourth Asia International Conference on Mathematical/Analytical Model and Computer Simulation, pp. 60–64. Kota Kinabalu, Sabah, 26–28 May 2010
Acknowledgements
This work was supported by Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, especially Robotic, Industrial and Automation (RIA) Research Group under research grant PJP/2018/FTK(10B)/S01610.
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Mohd Tumari, M.Z., Zainal Abidin, A.F., Hussin, M.S.F., Abd Kadir, A.M., Mohd Aras, M.S., Ahmad, M.A. (2019). PSO Fine-Tuned Model-Free PID Controller with Derivative Filter for Depth Control of Hovering Autonomous Underwater Vehicle. In: Md Zain, Z., et al. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 . Lecture Notes in Electrical Engineering, vol 538. Springer, Singapore. https://doi.org/10.1007/978-981-13-3708-6_1
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