Explicit Model-Following Design of Propulsion Control Aircraft Using Genetic Algorithms
作者： Gwo-Ruey Yu
DOI: 10.1109/ICSMC.2006.384818
关键词: Linear quadratic optimal control 、 Control system 、 Thrust 、 Attitude control 、 Propulsion 、 Elevator 、 Control theory 、 Genetic algorithm 、 Robustness (computer science) 、 Control theory 、 Computer science
摘要: This paper presents the design of flight control system for crippled aircraft with engine thrust only. The longitudinal attitudes propulsion are guided through explicit model-following tracker. technique command generator tracker is applied to convert model-matching problem into a regulator problem. model mismatch error minimized by means linear quadratic optimal control. Furthermore, genetic algorithms (GAs) employed search parameters robust controller. Computer simulation demonstrates responses behave like those nominal and controller possesses robustness against elevator partial effective, delay, sensor noise.
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