Research Article Open Access

Adaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion Control

Mbaitiga Zacharie

Abstract

Problem statement: Research into robot motion control offers research opportunities that will change scientists and engineers for year to come. Autonomous robots are increasingly evident in many aspects of industry and everyday life and a robust robot motion control can be used for homeland security and many consumer applications. This study discussed the adaptive fuzzy knowledge based controller for robot motion control in indoor and outdoor environment. Approach: The proposed method consisted of two components: the process monitor that detects changes in the process characteristics and the adaptation mechanism that used information passed to it by the process monitor to update the controller parameters. Results: Experimental evaluation had been done in both indoor and outdoor environment where the robot communicates with the base station through its Wireless fidelity antenna and the performance monitor used a set of five performance criteria to access the fuzzy knowledge based controller. Conclusion: The proposed method had been found to be robust.

Journal of Computer Science
Volume 6 No. 10, 2010, 1048-1055

DOI: https://doi.org/10.3844/jcssp.2010.1048.1055

Submitted On: 25 June 2010 Published On: 30 July 2010

How to Cite: Zacharie, M. (2010). Adaptive Fuzzy Knowledge Based Controller for Autonomous Robot Motion Control. Journal of Computer Science, 6(10), 1048-1055. https://doi.org/10.3844/jcssp.2010.1048.1055

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Keywords

  • Adaptive fuzzy
  • fuzzy control
  • fuzzy knowledge
  • motion control