PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Optimization of membership function parameters for fuzzy controllers of an autonomous mobile robot using the flower pollination algorithm

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this work we describe the optimization of a Fuzzy Logic Controller (FLC) for an autonomous mobile robot that needs to follow a desired path. The FLC is for the simulation of its trajectory, the parameters of the membership functions of the FLC had not been previously optimized. We consider in this work with the flower pollination algorithm (FPA) as a method for optimizing the FLC. For this reason, we use the FPA to find the best parameters with the objective of minimizing the error between the trajectory of the robot and the reference. A comparative study of results with different metaheuristics is also presented in this work.
Twórcy
  • Tijuana Institute of Technology, Tijuana BC México
autor
  • Tijuana Institute of Technology, Tijuana BC México
autor
  • Tijuana Institute of Technology, Tijuana BC México
Bibliografia
  • [1] C. T. Kilian, Modern Control Technology: Components and Systems, USA: Delmar, 2006. DOI: 10.1007/3-540-30368-5_19.
  • [2] L. A. Zadeh, “A Rationale for fuzzy Control”, J. Dynamic Systems, vol. 94, no. 1, 1972, 3–4. DOI: 10.1115/1.3426540.
  • [3] L. A. Zadeh, “Fuzzy Sets”, Departament of Electrical Engineering and Electronics Research Laboratory, vol. 8, no. 3, pp. 338-353, 1965. DOI: 10.1016/S0019-9958(65)90241-X.
  • [4] L. A. Zadeh, “Towards a generalized theory of uncertainty”, Information Sciences, vol. 172, no. 1–2, 2005, 1–40. DOI: 10.1016/j.ins.2005.01.017.
  • [5] H. Erdem, “A Practical Fuzzy Logic Controller for Sumo Robot Competition”. In: Ghosh A., De R.K., Pal S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2007. Lecture Notes in Computer Science, vol 4815. Springer, Berlin, Heidelberg. 2007. DOI: 10.1007/978-3-540-77046-6_27.
  • [6] A. Hechri, A. Ladgman, F. Hamdaoui, A. Mtibaa, “Design of Fuzzy Logic Controller for Autonomous parking of Mobil Robot”, International Journal of Science and Techniques of Automatic Control and Computer Engineering, vol. 5, no. 2, 2011, 1558–1575.
  • [7] X.-S. Yang, Nature-Inspired Optimization Algorithms, US: Elsevier, 2014.
  • [8] L. Astudillo, O. Castillo, P. Melin, Chemical Optimization Algorithm for Fuzzy Controller Design, Tijuana: Springer, 2014. DOI: 10.1007/978-3-319-05245-8.
  • [9] O. Castillo, L. Aguilar, S. Cardenas, “Fuzzy Logic Tracking Control for Unicle Mobile Robots”, Engineering Letters, vol. 13, no. 2, 2006, 73–77.
  • [10] O. Castillo, L. Amador-Angulo, J. R. Castro, M. Garcia-Valdez, “A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems”, Information Sciences, vol. 354, no. 1, p. 257–274, 2016. DOI: 10.1016/j.ins.2016.03.026.
  • [11] O. Castillo, C. Caraveo, F. Valdez, “Optimization of fuzzy controller design using a new bee colonyalgorithm with fuzzy dynamic parameter adaptation”, Applied Soft Computing, vol. 43, no. 1, 2016, 131–142. DOI: 10.1016/j.asoc.2016.02.033.
  • [12] O. Castillo, P. Melin, L. Amador-Angulo, O. Mendoza,J. R. Castro, A. Rodríguez-Díaz, “Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot”, Sensors, vol. 1, no. 1, 2016, –1–27. DOI: 10.3390/s16091458.
  • [13] O. Castillo, R. Martínez-Marroquín, P. Melin, F. Valdez, J. Soria, “Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot”, Information Sciences Informatics and Computer Science Intelligent Systems Applications, vol. 192, no. 1, 2012, 19–38. DOI: 10.1016/j.ins.2010.02.022.
  • [14] M. Lagunes, O. Castillo and J. Soria, “Optimization of membership function parameters for fuzzy controllers of an autonomous mobile robot using the firefly algorithm”. In: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, Tijuana, Springer, 2018, 199–206.
  • [15] R. Sharma, D. Honc, F. Dušek, “Predictive control of differential drive mobile robot considering dynamics and kinematics”. In: Proceedings of 30th European Conference on Modelling and Simulation, vol. 1, 2015, no. 1, 1–7. DOI: 10.7148/2016-0354.
  • [16] G. Dudek, M. Jenkin, Computational Principles of Mobile Robotics, New York: Cambridge University Press, 2010.
  • [17] C. Rekik, M. Jallouli, N. Derbel, “Optimal trajectory of a mobile robot using”, Computer Applications in Technology, vol. 53, no. 4, 2016, 348–357. DOI: 10.1109/SSD.2010.5585508.
  • [18] R. Zhao, D. Hwan Lee, H. Kyu Lee, “Mobile Robot Navigation using Optimized”, International Journal of Fuzzy Logic and Intelligent Systems, vol. 15, no. 1, 2015, 12–19. DOI: 10.5391/IJFIS.2015.15.1.12.
  • [19] R. Martínez Marroquín, O. Castillo, J. Soria, “Optimization of Membership Functions of a Fuzzy Logic”, In: Castillo O., Pedrycz W., Kacprzyk J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Series: Studies in Computational Intelligence, Springer, vol. 257, no. 6, 2009, 3–16. DOI: 10.1007/978-3-642-04514-1.
  • [20] T. Y. Abdalla, A. Abdulkareem, “A PSO Optimized Fuzzy Control Scheme for Mobile Robot Path Tracking”, International Journal of Computer Applications, vol. 76, no. 2, 2013, 11–17. DOI: 10.5120/13217-0608.
  • [21] R. Martínez, O. Castillo, L. T. Aguilar, “Optimization of interval type-2 fuzzy logic controllers for a perturbed”, Information Sciences, vol. 179, no. 1, 2009, 2158–2174.
  • [22] M. A. Sanchez, O. Castillo, J. R. Castro, “Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems”, Expert Systems with Applications, vol. 42, no. 1, 2015, 5904–5914. DOI: 10.1016/j.eswa.2015.03.024.
  • [23] F. Valdez, P. Melin, “Comparative Study of PSO and GA for complex mathematical functions”, Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 2, no. 1, 2008, 43–51.
  • [24] R. Martinez Soto, O. Castillo, L. Aguilar, R. Diaz, “A hybrid optimization method with PSO and GA to automatically desing Type-1 and Type-2 fuzzy logic controllers”, International Journal of Machine Learning & Cybernetics, 2015, vol. 6, no. 2, 175–196. DOI: 10.1007/s13042-013-0170-8.
  • [25] P. Melin, L. Astudillo, O. Castillo, F. Valdez, M. Garcia, “Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical”, Expert Systems with Applications, vol. 40, no. 8, 2013, 3185-3195. DOI: 10.1016/j.eswa.2012.12.032.
  • [26] O. Castillo, R. Martinez Marroquin, P. Melin, F. Valdez, J. Soria, “Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot”, Information Sciences, vol. 192, 2010, no. 12, 19–38. DOI: 10.1016/j.ins.2010.02.022.
  • [27] F. Olivas, F. Valdez, O. Castillo, C. Gonzales, G. Martinez, P. Melin, “Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems”, Applied Soft Computing, vol. 53, 2016, 74–87.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c6e89aaa-1d24-49fa-bb81-299c273d6e67
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.