Abstract
A multi-objective evolutionary algorithm is used to determine the membership function distribution within the outer loop control system of a non-linear missile autopilot using lateral acceleration control. This produces a design that meets objectives related to closed loop performance such as: steady state error, overshoot, settling and rising time. The evolutionary algorithm uses non-dominated sorting for forming a Pareto front of possible solutions. This paper shows that fuzzy controllers can be produced for engineering problems, with the multi-objective algorithm allowing the designer the freedom to choose solutions and investigate the properties of very complex systems.
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References
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Blumel, A.L., Hughes, E.J., White, B.A. (2001). Multi-objective Evolutionary Design of Fuzzy Autopilot Controller. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_47
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DOI: https://doi.org/10.1007/3-540-44719-9_47
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