A Predictive Neural-Fuzzy Inference Control System for Dynamic Antenna Tracking in Air-Ground Microwave Air-Bridge Alignment

  • 黃 映齊

Student thesis: Doctoral Thesis

Abstract

This dissertation presents a Predictive and Adaptive Neural-Fuzzy Inference System (PANFIS) The controller is implemented on a dual-axis rotation platform for directional antenna tracking Remote side is a Low-Altitude Flying Platform (LAFP) carried with airborne e-Cell Base Transceiver Station (BTS) and microwave transceiver In order to establish a reliable and steady Microwave Air-Bridging (MAB) link for signal relay the accurate tracking mechanism is required Two of the major improvement is proposed in this dissertation The rule formation layer of conventional ANFIS is modified for shorter training period and output decision coherence Prediction functionality of controller is implemented with the demand to eliminate tracking overshoot and steady error The flight test verifies the different tracking scenario and integrity of proposed controller Compared with the conventional ANFIS controller the proposed method provides the better tracking performance and higher MAB quality for mobile signal relay mission
Date of Award2015 Jul 13
Original languageEnglish
SupervisorChin-E. Lin (Supervisor)

Cite this

A Predictive Neural-Fuzzy Inference Control System for Dynamic Antenna Tracking in Air-Ground Microwave Air-Bridge Alignment
映齊, 黃. (Author). 2015 Jul 13

Student thesis: Doctoral Thesis