Fuzzy Adaptive Control of Airborne Electro-Optical Tracking Systems Based on Variable Universe

Abstract:

In order to improve the control performance of airborne EO tracking systems, we develop a proposed variable universe control algorithm based on fuzzy reasoning. The algorithm combines a new fuzzy control algorithm with classic PID control algorithm and greatly improves the dynamic performance of the airborne EO tracking systems. The simulation results indicate that the adaptive fuzzy controller can ensure the precision of the system with better adaptability and robustness.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 5972-5977
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.5972
• Online since: November 2011
• Authors: Song Gao, Xiao Xia Xu, Qinkun Xiao, Quan Pan
• Keywords: Adaptive Control, Airborne Electro-Optical Tracking Systems, Fuzzy Control, Variable Universe

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