Control allocation of ASV based on linear programming and fuzzy logic

Pei Chi; Zongji Chen; Rui Zhou

doi:10.1117/12.718224

30 October 2006 Control allocation of ASV based on linear programming and fuzzy logic

Pei Chi, Zongji Chen, Rui Zhou

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63584B (2006) https://doi.org/10.1117/12.718224
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Future Aero Space Vehicle flies through both the atmospheric and extra atmospheric fields, which implies the autonomy and adaptability to the uncertainties from the system faults and changing environments. Algorithms based on fuzzy logic and linear programming are presented, which can implement the autonomous control reconfigurations under uncertainties via the redundant actuators. The compensation branch minimizes the difference between the desired control objectives and the actual achievable control if the control power is deficient. Otherwise the optimization branch optimizes some sub-objectives by utilizing the excess control power. The fuzzy logic-based regulator tunes the weight vector of the objective functions by the expert rules to obtain the optimized allocation results under various environments with considerations of the control effectiveness. It is illustrated that the algorithms can satisfy the control performance, save the fuel and smooth the allocation output.

Citation Download Citation

Pei Chi, Zongji Chen, and Rui Zhou "Control allocation of ASV based on linear programming and fuzzy logic", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63584B (30 October 2006); https://doi.org/10.1117/12.718224

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