FUZZY LOGIC BASED FLIGHT CONTROL OF THE ATMOSPHERIC RE-ENTRY CREW RETURN VEHICLE

摘要

Fuzzy logic control (FLC) techniques are investigated to find applications in the intelligent re-entry flight control of the ESA-NASA crew return vehicle (CRV). Three PD-Mamdani fuzzy controllers are constructed to control the inner-loop attitude dynamics, simulated by a fully nonlinear 3 degree-of-freedom (DOF) simulator of the CRV. Each controller uses an angle tracking error and its derivative to calculate a commanded control surface deflection of the simulator. The input-domains are partitioned with 5 membership functions, resulting in 25 fuzzy rules for each rule-base. The output-domains are partitioned with 9 membership functions. The Mamdani controllers use a standard max-min inference process and a fast center of area method to calculate the crisp control signals. Simulation results show the ability to track a reference trajectory with acceptable performance, though the real strength of a nonlinear fuzzy logic controller is yet to be proven with more demanding benchmark trajectories.