Fuzzy logic based attitude control of the spacecraft X-38 along a nominal re-entry trajectory |
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| Affiliation: | 1. Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands;2. Faculty of Information Technology and Systems, Delft University of Technology, Mekelweg 4, 2600 GA Delft, The Netherlands;3. European Space Agency ESTEC, Keplerlaan 1, 2200 AG Noordwijk, The Netherlands;1. School of Automation, Guangdong University of Technology, China;2. Guangxi Bo Yang Electric Power Survey and Design Co, Ltd, Guangxi distribution system Co, Ltd., China;3. South China National Centre of Metrology, China;1. Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China;2. School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China;3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, N.S.W., 2522, Australia |
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| Abstract: | Fuzzy logic control techniques are investigated for applications in the intelligent re-entry flight control of the ESA–NASA crew return vehicle. Three PD-Mamdani fuzzy controllers are constructed to control the inner-loop attitude dynamics, simulated by a fully nonlinear 3 degree-of-freedom 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. |
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