Title

Performance enhancement of a missile autopilot via genetic algorithm optimization techniques

Abstract

The study demonstrates that genetic algorithm techniques can be used to incorporate performance enhancements and constraints into the formulation and numerical solution of a typical missile autopilot controller problem. It was determined that successful convergence of a simple genetic algorithm was extremely dependent on the initial random population set. It is therefore necessary to develop the Iterative Genetic Algorithm (IGA). Through the Monte Carlo analysis, it was demonstrated that the IGA provides a numerically feasible method for designing to specific combinations of performance criteria and constraints that cannot readily be achieved with current analytical methodologies.

Publication Date

12-1-1994

Publication Title

Proceedings of the American Control Conference

Volume

2

Number of Pages

1680-1684

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0028605085 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028605085

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