You are in:Home/Publications/Voice robot control using advanced fuzzy control techniques

Dr. Mostafa El Sayed Abd-Elmonem :: Publications:

Title:
Voice robot control using advanced fuzzy control techniques
Authors: M. Elsayed, saber abdrabbo, M. Ib. Sokar, M. El-arabi
Year: 2015
Keywords: FIS with lookup table; Fuzzy controller; Fuzzy PID; Modeling; Mobile robot; Voice Recognition
Journal: International Journal of Scientific & Engineering Research
Volume: 6
Issue: 11
Pages: 1195-1201
Publisher: (ijser.org)
Local/International: International
Paper Link:
Full paper Mostafa El Sayed Abd-Elmonem_Voice-robot-control-using-advanced-fuzzy-control-techniques.pdf
Supplementary materials Not Available
Abstract:

nowadays, mobile robots has a significant status in real life and industrial applications. A mathematical model of the Tricycle Mobile Robot (TMR) as a closed loop transfer function is introduced. A prototype of TMR with steering wheel was established. The current research presents different control techniques of TMR with auditory systems to further enhance human–robot interaction. Controlling the velocity and azimuth angle of the TMR was discussed and examined by three methods. They are fuzzy logic controllers alone, fuzzy logic based on PID controller and Fuzzy Inference System (FIS) with the lookup table. All of each controller is examined with trapezoidal, triangular and Gaussian membership function, also compared with two inputs as unit step and unit sinusoidal input. The results show that the FIS with lookup table has the best output response and control signal at the sinusoidal input. Also, the minimum error signal occurs for FIS with lookup table with trapezoidal membership function at the unit step input.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus