A Spiral Dynamic Optimised Hybrid Fuzzy Logic Controller for a Unicycle Mobile Robot on Irregular Terrains
Authors: Abdullah M. Almeshal, Mohammad R. Alenezi, Talal H. Alzanki
Abstract:
This paper presents a hybrid fuzzy logic control strategy for a unicycle trajectory following robot on irregular terrains. In literature, researchers have presented the design of path tracking controllers of mobile robots on non-frictional surface. In this work, the robot is simulated to drive on irregular terrains with contrasting frictional profiles of peat and rough gravel. A hybrid fuzzy logic controller is utilised to stabilise and drive the robot precisely with the predefined trajectory and overcome the frictional impact. The controller gains and scaling factors were optimised using spiral dynamics optimisation algorithm to minimise the mean square error of the linear and angular velocities of the unicycle robot. The robot was simulated on various frictional surfaces and terrains and the controller was able to stabilise the robot with a superior performance that is shown via simulation results.
Keywords: Fuzzy logic control, mobile robot, trajectory tracking, spiral dynamic algorithm.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1097397
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1732References:
[1] Martins, F. N., Celeste, W. C., Carelli, R., Sarcinelli-Filho, M., & Bastos-Filho, T. F. (2008). An adaptive dynamic controller for autonomous mobile robot trajectory tracking. Control Engineering Practice, 16(11), 1354-1363
[2] Castillo, O., Martínez-Marroquín, R., Melin, P., Valdez, F., & Soria, J. (2012). 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, 192, 19-38.
[3] Martínez, R., Castillo, O., & Aguilar, L. T. (2009). Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms. Information Sciences, 179(13), 2158-2174.
[4] Petrov, P., & Dimitrov, L. (2010). Nonlinear path control for a differential-drive mobile robot. RECENT Journal, 11(1), 41-45.
[5] A M Almeshal, M O Tokhi, K M Goher, Robust hybrid fuzzy logic control of a novel two-wheeled robotic vehicle with a movable payload under various operating conditions, Proceedings of the United Kingdom Automatic Control Council International Conference on Control (UKAAC 2012), University of Glamorgan, Cardiff, UK, 3-5 Sept 2012. pp 747-752
[6] A M Almeshal, K M Goher, A N K Nasir, M O Tokhi, Steering and dynamic performance of a new configuration of a wheelchair on two wheels in various indoor and outdoor environments, Proceedings of 18th International Conference on Methods and Models in Automation and Robotics (MMAR), Miedzyzdroje, Poland, 26-29 Aug. 2013.
[7] Klancar, G., Matko, D., & Blazic, S. (2005). Mobile robot control on a reference path. In Intelligent Control. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation (pp. 1343-1348).
[8] A M Almeshal, K M Goher, A N K Nasir, M O Tokhi, S A Agouri, Fuzzy logic optimized control of a novel structure two-wheeled robotic vehicle using HSDBC, SDA and BFA: a comparative study, Proceedings of 18th International Conference on Methods and Models in Automation and Robotics (MMAR), Miedzyzdroje, Poland, 26-29 Aug. 2013.
[9] A M Almeshal, M O Tokhi and K M Goher, Stabilization of a new configurable two-wheeled machine using a PD-PID and a hybrid FL control strategies: a comparative study, Proceedings of the 32nd International Conference on Control, Automation and Robotics (ICCAR 2012), Dubai, UAE, 8-9 Oct. 2012. pp 65-72
[10] A M Almeshal, K M Goher, M O Tokhi, O Sayidmarie, S A Agouri, Hybrid fuzzy logic control of a two wheeled double inverted pendulumlike robotic vehicle, Proceedings of 15th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR 2012), Baltimore, USA, 23-26 Jul. 2012. pp 681- 688
[11] Tamura, K., & Yasuda, K. (2011). Primary study of spiral dynamics inspired optimization. IEEJ Transactions on Electrical and Electronic Engineering, 6(S1), S98–S100.
[12] Silva, M. F., Machado, J. A. T., & Lopes, A. M. (2005). Modelling and simulation of artificial locomotion systems. Robotica, 23(5), 595–606.