Optimization Environment Definition for Beam Steering Reflectarray Antenna Design

Alessandro Niccolai, Francesco Grimaccia, Marco Mussetta, Riccardo Zich and Alessandro Gandelli
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Alessandro Niccolai: Dipartimento di Energia, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy
Francesco Grimaccia: Dipartimento di Energia, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy
Marco Mussetta: Dipartimento di Energia, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy
Riccardo Zich: Dipartimento di Energia, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy
Alessandro Gandelli: Dipartimento di Energia, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy

Mathematics, 2021, vol. 10, issue 1, 1-19

Abstract: Reflectarray antennas are low-profile high-gain systems widely applied in the aerospace industry. The increase in their application is leading to the problem of getting more advanced performance while keeping the system as simple as possible. In these cases, their design cannot be conducted via analytical methods, thus evolutionary optimization algorithms are often implemented. Indeed, the design is characterized by the presence of many local minima, by high number of design variables, and by the high computational burden required to evaluate the antenna performance. The purpose of this paper is to develop, implement, and test a complete Optimization Environment that can be applied to achieve high scanning capabilities with a reflectarray. The design of the optimization environment has been selected to be flexible enough to be applied also with other different algorithms.

Keywords: Evolutionary Algorithms; reflectarray optimization; Particle Swarm Optimization; Genetic Algorithm; Social Network Optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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