Research of Space Electronic Circuit Optimization Design

During the space electronic system in carries out the exploratory mission in the deep space, it maybe faced with kinds of violent natural environment, to electric circuit's performance, the volume, the weight and the stability proposed a higher request, the traditional circuit design method already more and more with difficulty satisfied this kind of request. The traditional circuit design method already more and more with difficulty satisfied this kind of request. But unifies the programmable component and the evolutionary algorithms hardware may the dynamic change hardware's structure adapt the adverse circumstance, resume the damage of the function, the adaptation for the duty change. After the optimization, obtains the circuit structure will often stem from our anticipation, this will be the altitude which the experience and the skillful institute hope to attain with difficulty. In view of the Xilinx Company's FPGA unique feature, proposed one kind of evolutionary algorithms which uses in the space electronic system circuit optimization design and through the experiment proved, the algorithm obtains the circuit structure to surpass the tradition circuit design method. This work investigates the application of genetic algorithms in the field of circuit optimization. For the case studies, this means has proved to be efficient and the experiment results show that the new means have got the better results.

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The Robust Design of Four-Bar Linkage with Clearance Based on Sensitivity Analysis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.34-35.1656 ◽

2010 ◽

Vol 34-35 ◽

pp. 1656-1660 ◽

Cited By ~ 1

Author(s):

Ying Cai Yuan ◽

Yi Lun Liu ◽

Yan Li

Keyword(s):

Sensitivity Analysis ◽

Mechanical System ◽

Robust Design ◽

Optimization Design ◽

Design Method ◽

Dynamic Performance ◽

Nonlinear Dynamic Model ◽

The Stability ◽

And Control ◽

Four Bar Linkage

Clearance is inevitable，so, with the increasing of machine’s speed, nonlinear vibration phenomenon caused by clearance is more apparent, which influences the precision and stability of mechanical system. For increasing the stability of mechanical system, a robust design method based on sensitivity analysis is studied, by using four-bar linkage as the research object, deducing the nonlinear dynamic model with clearance and the sensitivity of dynamic response, based on the rational planning to the tracks and control the sensitivities. In the design example, it shows that although the track deviation of robust design is slightly bigger than that of optimization design, the comprehensive dynamic performance of the mechanical system is much better than the latter, which means the stability of mechanical system is improved greatly. Thus, the robust design based on sensitivity analysis is an effective way to improve the stability of the mechanical system.

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Embryonic Electronic Circuit Optimization Design Method Based on Genetic Algorithm

Communications in Computer and Information Science - Embedded System Technology ◽

10.1007/978-981-10-0421-6_9 ◽

2015 ◽

pp. 87-98

Author(s):

Tao Wang ◽

Jinyan Cai ◽

Yafeng Meng

Keyword(s):

Genetic Algorithm ◽

Optimization Design ◽

Electronic Circuit ◽

Design Method ◽

Circuit Optimization

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Principle of Surge Voltage of a Rectifier in Isolated DC-DC Converters and Snubber Circuit Design Method

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.133.350 ◽

2013 ◽

Vol 133 (3) ◽

pp. 350-359 ◽

Cited By ~ 3

Author(s):

Koji Orikawa ◽

Jun-ichi Itoh

Keyword(s):

Circuit Design ◽

Design Method ◽

Snubber Circuit

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Efficient Optimization Design Method Using Kriging Model

Journal of Aircraft ◽

10.2514/1.c10485e ◽

2005 ◽

Vol 42 (5) ◽

pp. 1375-1375 ◽

Cited By ~ 1

Author(s):

Shinkyu Jeong ◽

Mitsuhiro Murayama ◽

Kazuomi Yamamoto

Keyword(s):

Optimization Design ◽

Design Method ◽

Kriging Model

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Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

Sustainability ◽

10.3390/su13041929 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1929

Author(s):

Yongmao Xiao ◽

Wei Yan ◽

Ruping Wang ◽

Zhigang Jiang ◽

Ying Liu

Keyword(s):

Optimization Model ◽

Optimization Design ◽

Design Method ◽

Low Cost ◽

Route Optimization ◽

Low Carbon ◽

Multi Objective Optimization ◽

Multi Objective ◽

Blank Design ◽

Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

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A robust metamodel-based optimization design method for improving pedestrian wind comfort in an infill development project

Sustainable Cities and Society ◽

10.1016/j.scs.2021.103018 ◽

2021 ◽

pp. 103018

Author(s):

Yihan Wu ◽

Qingming Zhan ◽

Steven Jige Quan

Keyword(s):

Optimization Design ◽

Design Method ◽

Development Project ◽

Infill Development ◽

Wind Comfort

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Suboptimal Disturbance Observer Design Using All Stabilizing Q Filter for Precise Tracking Control

Mathematics ◽

10.3390/math8091434 ◽

2020 ◽

Vol 8 (9) ◽

pp. 1434 ◽

Cited By ~ 1

Author(s):

Wonhee Kim ◽

Sangmin Suh

Keyword(s):

Design Method ◽

Industrial Applications ◽

Point Of View ◽

Observer Design ◽

Linear Matrix ◽

External Disturbances ◽

Closed Loop Systems ◽

Control Target ◽

The Stability ◽

Unified Index

For several decades, disturbance observers (DOs) have been widely utilized to enhance tracking performance by reducing external disturbances in different industrial applications. However, although a DO is a verified control structure, a conventional DO does not guarantee stability. This paper proposes a stability-guaranteed design method, while maintaining the DO structure. The proposed design method uses a linear matrix inequality (LMI)-based H∞ control because the LMI-based control guarantees the stability of closed loop systems. However, applying the DO design to the LMI framework is not trivial because there are two control targets, whereas the standard LMI stabilizes a single control target. In this study, the problem is first resolved by building a single fictitious model because the two models are serial and can be considered as a single model from the Q-filter point of view. Using the proposed design framework, all-stabilizing Q filters are calculated. In addition, for the stability and robustness of the DO, two metrics are proposed to quantify the stability and robustness and combined into a single unified index to satisfy both metrics. Based on an application example, it is verified that the proposed method is effective, with a performance improvement of 10.8%.

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A Two-Round Optimization Design Method for Aerostatic Spindles Considering the Fluid–Structure Interaction Effect

Applied Sciences ◽

10.3390/app11073017 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3017

Author(s):

Qiang Gao ◽

Siyu Gao ◽

Lihua Lu ◽

Min Zhu ◽

Feihu Zhang

Keyword(s):

Optimal Design ◽

Optimization Design ◽

Design Method ◽

Fluid Structure Interaction ◽

Design Procedure ◽

Design Parameters ◽

Geometrical Parameters ◽

Fluid Structure ◽

Structure Interaction ◽

Aerostatic Spindle

The fluid–structure interaction (FSI) effect has a significant impact on the static and dynamic performance of aerostatic spindles, which should be fully considered when developing a new product. To enhance the overall performance of aerostatic spindles, a two-round optimization design method for aerostatic spindles considering the FSI effect is proposed in this article. An aerostatic spindle is optimized to elaborate the design procedure of the proposed method. In the first-round design, the geometrical parameters of the aerostatic bearing were optimized to improve its stiffness. Then, the key structural dimension of the aerostatic spindle is optimized in the second-round design to improve the natural frequency of the spindle. Finally, optimal design parameters are acquired and experimentally verified. This research guides the optimal design of aerostatic spindles considering the FSI effect.

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Comparison of Searching Behaviour of Three Evolutionary Algorithms Applied to Water Distribution System Design Optimization

Water ◽

10.3390/w12030695 ◽

2020 ◽

Vol 12 (3) ◽

pp. 695 ◽

Cited By ~ 2

Author(s):

Weiwei Bi ◽

Yihui Xu ◽

Hongyu Wang

Keyword(s):

Evolutionary Algorithms ◽

Real Time ◽

Distribution System ◽

Optimization Design ◽

Distribution Systems ◽

Water Distribution ◽

Optimal Solutions ◽

Great Ability ◽

Searching Behaviour ◽

Run Time

Over the past few decades, various evolutionary algorithms (EAs) have been applied to the optimization design of water distribution systems (WDSs). An important research area is to compare the performance of these EAs, thereby offering guidance for the selection of the appropriate EAs for practical implementations. Such comparisons are mainly based on the final solution statistics and, hence, are unable to provide knowledge on how different EAs reach the final optimal solutions and why different EAs performed differently in identifying optimal solutions. To this end, this paper aims to compare the real-time searching behaviour of three widely used EAs, which are genetic algorithms (GAs), the differential evolution (DE) algorithm and the ant colony optimization (ACO). These three EAs are applied to five WDS benchmarking case studies with different scales and complexities, and a set of five metrics are used to measure their run-time searching quality and convergence properties. Results show that the run-time metrics can effectively reveal the underlying searching mechanisms associated with each EA, which significantly goes beyond the knowledge from the traditional end-of-run solution statistics. It is observed that the DE is able to identify better solutions if moderate and large computational budgets are allowed due to its great ability in maintaining the balance between the exploration and exploitation. However, if the computational resources are rather limited or the decision has to be made in a very short time (e.g., real-time WDS operation), the GA can be a good choice as it can always identify better solutions than the DE and ACO at the early searching stages. Based on the results, the ACO performs the worst for the five case study considered. The outcome of this study is the offer of guidance for the algorithm selection based on the available computation resources, as well as knowledge into the EA’s underlying searching behaviours.

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