Electromagnetic Interference Shielding Design Using Real-Coded Genetic Algorithm and Reliability Evaluation in X-Band (original) (raw)
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DESIGN AND OPTIMIZATION OF MULTILAYERED ELECTROMAGNETIC SHIELD USING A REAL-CODED GENETIC ALGORITHM
We report optimized design of multilayered electromagnetic shield using real coded genetic algorithm. It is observed that the shielding effectiveness in multilayer design is higher than single layered counterpart of equal thickness. An effort has been made to develop alternative approach to achieve specific objective of identifying the design characteristics of each layer in the multilayered shielding configuration. The proposed approach incorporates interrelated factors, such as, absorption and reflection in the design optimization as per specific shielding requirements. The design problem has been solved using shielding effectiveness theory based on transmission line (TL) modeling and real-coded genetic algorithm (GA) with simulated binary crossover (SBX) and parameter-based mutation. The advantage of real-coded GA lies in efficient solution for electromagnetic interference (EMI) shielding design due to its strength in solving constraint optimization problems of continuous variables with many parameters without any gradient information. Additionally, the role of material parameters, such as permittivity and permeability on reflection characteristics and shielding effectiveness has also been investigated and optimized using the proposed models and real-coded GA. Theoretical optimization of electromagnetic parameters has been carried out for SE ~40 dB for many industrial/commercial applications and SE ~80 dB for military applications.
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The conventional approaches for electromagnetic shielding structures’ design, lack the incorporation of uncertainty in the design variables/parameters. In this paper, a reliability-based design optimization approach for designing electromagnetic shielding structure is proposed. The uncertainties/variability in the design variables/parameters are dealt with using the probabilistic sufficiency factor, which is a factor of safety relative to a target probability of failure. Estimation of probabilistic sufficiency factor requires performance function evaluation at every design point, which is extremely computationally intensive. The computational burden is reduced greatly by evaluating design responses only at the selected design points from the whole design space and employing artificial neural networks to approximate probabilistic sufficiency factor as a function of design variables. Subsequently, the trained artificial neural networks are used for the probabilistic sufficiency factor evaluation in the reliability-based design optimization, where optimization part is processed with the real-coded genetic algorithm. The proposed reliability-based design optimization approach is applied to design a three-layered shielding structure for a shielding effectiveness requirement of 40 dB, used in many industrial/ commercial applications, and for 80 dB used in the military applications.
International Proceedings of Economics Development and Research 75: 91-95. Singapore: IACSIT Press. (2014)
The deterministic design approaches for designing electromagnetic interference (EMI) shielding structures lacks the incorporation of the uncertainty involved in the design variables and/or problem parameters. The ignorance of such uncertainties in the optimized design solution provides variation in the expected shielding effectiveness (SE). In this paper a reliability-based design optimization (RBDO) study for designing electromagnetic (EM) shielding structures is presented. The uncertainty in the variables has been dealt by employing probabilistic sufficiency factor (PSF), which is a factor of safety relative to a target probability of failure. In the RBDO, computational burden on the evaluation of PSF at each design point have been reduced by evaluating PSFs only at the selected design points from the given design space. Subsequently artificial neural network (ANN) is trained to approximate the PSF as a function of design variables. The approach is applied to design a three-layered shielding structure for the SE requirement of 80 dB in 8–12.5 GHz frequency range.
Reliability-based design optimization scheme for designing electromagnetic shielding structures
Journal of Electromagnetic Waves and Applications, Volume 28, Issue 6, 2014, 2014
This article, presents a reliability-based design optimization (RBDO) study for designing electromagnetic shielding structures. The existing deterministic design approaches do not integrate the uncertainty involved in the design variables or problem parameters of such shielding structures thereby, the ignorance of uncertainty provides variation in the expected shielding effectiveness (SE) in the optimized design solution. The application of RBDO allows determining the best design solution, while explicitly considering the inevitable effects of uncertainty in the design variables and problem parameters. The proposed approach employs a nested optimization approach for solving the RBDO formulation for the shielding structure under uncertainty. The real-coded genetic algorithm is being used to handle deterministic constraints (outer loop) whereas hybrid mean-value method is employed to evaluate probabilistic constraints in the RBDO formulation (inner loops). The approach is illustrated with an example considering three-layered shielding structures’ design for the SE requirement of ~80 dB in 8–12.5 GHz frequency range.
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This paper presents a reliability based design study of multilayered composites for electromagnetic interference shielding applications. In this study, uncertainties in the design and external variables affecting the shielding effectiveness (SE) are modeled based on probability distributions. Monte Carlo simulation is employed at each design point generated via Latin hypercube sampling approach to evaluate the probability of failure from the limit state function. Subsequently, a response surface approximation is employed to approximate the probability of failure in terms of design variables. This approximated polynomial is used to compute the probabilistic constraint in the design optimization. The design problems so formulated are solved using the real-coded genetic algorithm. The plane wave SE theory approach based on transmission line modeling for the multilayer shields in arbitrary polarized and incident direction of electromagnetic wave is adopted for SE calculation. The proposed approach is illustrated through examples by considering the military and commercial shielding requirements.
Optimization of multilayer electromagnetic shields: A genetic algorithm approach
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Composites filled with carbon nanoplatelets designed as multi-layer electromagnetic shields are considered because of their interesting electromagnetic characteristics, such as high electrical conductivity and excellent microwave absorption and shielding behaviour. Layers disposal, their composition and electrical parameters, number and thicknesses are optimized through a real-coded genetic algorithm to achieve the minimization of the transmitted waves and minimization of reflection loss of the absorbing composites as coating on metal surface. Numerical design of wide frequency band radar absorbing multi-layer composite structures and highly shielding structures are presented and compared with experimental results.
A LITERATURE SURVEY ON ELECTROMAGNETIC SHIELDING
EMI (electromagnetic interference) is the disruption of operation of an electronic device when it is in the vicinity of an electromagnetic field (EM field) in the radio frequency (RF) spectrum that is caused by another electronic device. It is a disturbance that affects an electrical circuit due to either electromagnetic induction or electromagnetic radiation emitted from an external source. The disturbance may interrupt, obstruct, or otherwise degrade or limit the effective performance of the circuit. Here we study about the shielding theory so as to reduce the effects of EMI.
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This paper presents a computer-aided comparison of some of the most used electromagnetic shielding materials. Computer-aided design (CAD) model and the computer aided engineering (CAE) simulation technologies are used for the analysis of the electromagnetic field shielding performances of each material individually and a comparison will be established. The main topic of this comparison is to establish a proper shielding material for ElectroMagnetic Interference (EMI) sources. A three-dimensional (CAD) model of the circuit breaker coil designed in PTC Creo Elements v.18.1 environment was analyzed in Ansoft Maxwell v.15 environment in order to compute the electromagnetic field distribution. The residual (EMI) values are compared to one another and the best shielding material will be presented for this circumstances.
Optimum Design of ThinWideband Multilayer Electromagnetic Shield Using Evolutionary Algorithms
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This paper describes the method of optimum design of multilayer perforated electromagnetic shield using evolutionary algorithms, namely Particle Swarm Optimization Algorithm (PSO) and Genetic Algorithm (GA). Different parameters which are inherently conflicting in nature corresponds to the multilayer structure of the electromagnetic shields have been considered. The goal is to minimize the overall mass of the shield with respect to its shielding effectiveness and cost. Three different models are considered and synthesized using evolutionary algorithms. Numerical optimal results for each model using different algorithms are presented and compared with each other to establish the effectiveness of the proposed method of designing.