Abstract
Tuning Proportional Integral Differential (PID) controller to the best value of gains is essential to develop a reliable controller for wheel mobile robot (WMR). WMR is a nonlinear system that falls into category of underactuated system where the inputs number is less than output number. The selection of PID gains for such system is highly difficult. Optimization of PID controller using Bat Algorithm (BA) is presented in this paper. BA as a nature inspired algorithm is used to search the optimum PID gains for wheel mobile robot i.e. an off-the-shelf mobile robot called mBot so that the system will have good performance in term of steady state error and time response. Kinematic model of mBot robot is used to develop a simulation model to simulate the system. The result of tuning and optimizing PID gains using BA is compared with Particle Swarm Optimization (PSO). The tuning result by using BA outperformed PSO methods with faster processing time and best values of gain Kp and Kd to be applied in the WMR. The PID gain values obtained from the BA and PSO are then applied on the WMR model. The performance of BA shows better result compared to PSO. Settling time for BA is 10.62 s compared with PSO 11.1 s, rise time for BA is 3.24 s while PSO 2.68 s, percentage overshoot of BA 28.2% compared with PSO 28.4%. Thus, the result proven that BA is able to optimize gain of PID controller better than PSO.
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References
Sontag, E.D.: Mathematical control theory: Deterministic finite dimensional systems. Springer (1998)
Kwakernaak, H., Sivan, R.: Linear optimal control systems. Wiley Interscience (1972)
Kennedy, J., Eberhart R.: Particle swarm optimization. In: Proceeding of the IEEE International Conference Neural Networks, Vol. IV, pp. 1942–1948 (1995)
Chow, G.C.: Analysis and control of dynamic economic systems. Krieger Pub Co (1 Sept 1986)
Oryschuk, P., Salerno, A., Al-Husseini, A.M., Angeles, J.: Experimental validation of an underactuated two-wheeled mobile robot, IEEE/ASME Transaction on Mechatronics, Vol. 14, No. 2, pp. 252–257 (April 2009)
Tian, Y., Sarkar, N.: Control of a mobile robot subject to wheel slip. J. Intell. Robot. Syst. 74, 915–929 (2014)
Juang, C.F.: Ant colony optimization algorithm for Fuzzy controller design and its FPGA implementation. IEEE Trans. Ind. Electron. 55(3), 1453–1462 (2008)
Chia, K. S.: Ziegler-nichols based proportional-integral-derivative controller for a line tracking robot. Indonesian J. Electr. Eng. Comput. Sci. 9(1), 221–226 (2018)
Kashi, S., Minuchehr, A., Poursalehi, N., Zolfaghari, A.: Bat algorithm for the fuel arrangement optimization of reactor core. Ann. Nucl. Energy. 64, 144–151 (2014)
Fister, I.Jr., Yang, X.: Bat algorithm: Recent advances, pp. 163–167 (2014)
Sambariya, D.K., Prasad, R.: Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm. Int. J. Electr. Power & Energy Syst. 61, 229–238 (2014)
Pebrianti, D., et al.: Motion tracker based wheeled mobile robot system identification and controller design. In: Hassan, M. (ed.) Intell. Manuf. Mechatron., pp. 241–258. Singapore, Lecture Notes in Mechanical Engineering. Springer (2018)
Rajanioun, R.: Cuckoo optimization algorithm. Appl. Soft Comput. 11, 55085–5518 (2011)
Acknowledgements
This works is supported by Universiti Malaysia Pahang (UMP), under Universiti Malaysia Pahang Research Grant RDU 170378
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Suarin, N.A.S., Pebrianti, D., Ann, N.Q., Bayuaji, L., Syafrullah, M., Riyanto, I. (2019). Performance Evaluation of PID Controller Parameters Gain Optimization for Wheel Mobile Robot Based on Bat Algorithm and Particle Swarm Optimization. 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_27
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DOI: https://doi.org/10.1007/978-981-13-3708-6_27
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