@article{(Open Science Index):https://publications.waset.org/pdf/10001040,
	  title     = {Intelligent Path Tracking Hybrid Fuzzy Controller for a Unicycle-Type Differential Drive Robot},
	  author    = {Abdullah M. Almeshal and  Mohammad R. Alenezi and  Muhammad Moaz},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we discuss the performance of applying
hybrid spiral dynamic bacterial chemotaxis (HSDBC) optimisation
algorithm on an intelligent controller for a differential drive robot. A
unicycle class of differential drive robot is utilised to serve as a basis
application to evaluate the performance of the HSDBC algorithm. A
hybrid fuzzy logic controller is developed and implemented for the
unicycle robot to follow a predefined trajectory. Trajectories of
various frictional profiles and levels were simulated to evaluate the
performance of the robot at different operating conditions. Controller
gains and scaling factors were optimised using HSDBC and the
performance is evaluated in comparison to previously adopted
optimisation algorithms. The HSDBC has proven its feasibility in
achieving a faster convergence toward the optimal gains and resulted
in a superior performance.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {9},
	  number    = {4},
	  year      = {2015},
	  pages     = {938 - 941},
	  ee        = {https://publications.waset.org/pdf/10001040},
	  url   	= {https://publications.waset.org/vol/100},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 100, 2015},
	}