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Design of Neuro-Fuzzy System Controller for DC ServomotorBased Satellite Tracking System

2016; Volume: 11; Issue: 04 Linguagem: Inglês

10.9790/1676-11040389102

2320-3331

Linus A. Alwal, Peter K. Kihato, Stanley Irungu Kamau,

Astronomical Observations and Instrumentation

A parabolic dish antenna positioning system is a control unit which directs the antenna to desired target automatically.In all its aspects, automation has become widespread and promises to represent the future for satellite tracking antenna systems.The term tracking is used to mean that the control system should utilize suitable algorithms to automate the process of pointing the antenna to a selected satellite thereby establishing the desired line of sight (LOS).This paper aims to present and discuss the results obtained from the development of a DC servomotor-based Neuro-Fuzzy System Controller (NFSC) algorithm which can be applied in the positioning of the parabolic reflector antennas.The advantage of using NFSC method is that it has a high degree of nonlinearity tolerance, learning ability and solves problems that are difficult to address with the conventional techniques such as Proportional Integral Derivative (PID) strategy.The architecture of the proposed antenna control system employs Adaptive Neuro-Fuzzy Inference System (ANFIS) design environment of MATLAB/SIMULINK package.The results obtained indicated that the proposed NFSC was able to achieve desired output DC motor position with reduced rise time and overshoot.Future work is to apply the controller in real time to achieve automatic satellite tracking with parabolic antenna using data derived from the signal strength.