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Parameter design for a guidance and control system using genetic approach |
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| Institution: | 1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China;2. China Aerospace Science and Industry Corporation, Beijing 100074, China;1. Faculty of Mechanical Engineering, Lublin University of Technology, Lublin, Poland;2. Faculty of Management, Lublin University of Technology, Lublin, Poland;3. The Institute of Technical Sciences and Aviation, The State School of Higher Education, Chełm, Poland;4. Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, Szczecin, Poland;5. Faculty of Technical Sciences, University College of Enterprise and Administration, Lublin, Poland;6. Institute of Navigation, Military University of Aviation, Dęblin, Poland |
| Abstract: | A preliminary guidance and control design for guided missiles is developed via a genetic searching approach. A real-coded genetic algorithm (RGA) serves as the computing device to solve a constrained optimization problem resulting from the guidance and control parameter design where the genetic structure encodes some sort of automation. It is a global search algorithm thus avoids a local minimum. This new design paradigm offers a way to implement simple but robust solutions that cover a wide range of aerodynamic variations. Simulation results are performed to illustrate the engagement performance and applicability of this proposed design. |
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