Intelligent flight controller design with fuzzy logic for an atmospheric re-entry vehicle

Author:

Wu S.-F.1,Engelen C.1,Babuska R.1,Chu Q.-P.1,Mulder J.1

Affiliation:

1. Delft Univ. of Technology, Netherlands

Publisher

American Institute of Aeronautics and Astronautics

Reference17 articles.

1. In the attitude control system, three channels are recognized. itch', in the longitudinal plane, is controlled based on a, olling and yawing', in the lateral plane, are controlled based on respectively o, and p, Correspondingly three independent PD-Mamdani fuzzy controllers are designed to realize the pitch, rolling and yawing attitude controls. A rule base, with two inputs and one output, is constructed for each separatechannel.

2. where qdYnSLis the product of aerodynamic pressure, reference area and reference length. ha is the variation of the angle of attack with reference to the nominal value along the reference trajectory. & = 6e-6e,i, is the elevator deflection with reference to the trim position. The aerodynamic coefficients Cl, C& Cl+ Cm, Cilzs, Cry CQ, and Clz~~are scheduled with Mach-number[6'71,along the reference trajectory.

3. Hadaegh, F.Y., E. Mettler, and C.F. Lin, "Autonomous Spacecraft Guidance and Control0022, AIAA 96-3924

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1. An Intelligent Attitude Control Method for UAV Based on DDPG Algorithm;2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE);2023-07

2. Simple Adaptive Re-entry Control with Actuator Assignment;2018 AIAA Guidance, Navigation, and Control Conference;2018-01-07

3. The Applications of Improved Genetic Algorithm on Hypersonic Vehicle Trajectory Optimization;Advanced Materials Research;2012-02

4. Solving logic equation via matrix expression;Frontiers of Electrical and Electronic Engineering in China;2009-06-10

5. Use of fuzzy logic to increase stability in control volume-based facility modeling;39th Aerospace Sciences Meeting and Exhibit;2001-01-08

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