scholarly journals Iterative design method of LCL filter for grid-connected converter to achieve optimal filter parameter combination

2019 ◽  
Vol 2019 (16) ◽  
pp. 1532-1538
Author(s):  
Li Tong ◽  
Chao Chen ◽  
Jianping Zhang
Keyword(s):  
Design Method ◽  
Optimal Filter ◽  
Lcl Filter ◽  
Filter Parameter ◽  
Iterative Design ◽  
Parameter Combination

A superconducting manifold-coupled triplexer with an iterative design method at X-band

2016 ◽  
Vol 58 (12) ◽  
pp. 2949-2954
Author(s):  
Xiaoke Song ◽  
Yong Liu ◽  
Bin Wei ◽  
Yajun She ◽  
Honghua Wang ◽  
...  
Keyword(s):  
Design Method ◽  
Iterative Design ◽  
X Band

scholarly journals Generative Design of Articulated Rod of Radial Engine

2021 ◽  
Vol 6 (1) ◽  
pp. 36-47
Author(s):  
Sawan Kumar Rai ◽  
Harit Keawmuang ◽  
Himanshu Variyavwala ◽  
Laith Shatnawi
Keyword(s):  
Computer Aided Design ◽  
Design Method ◽  
Generative Design ◽  
Element Analysis ◽  
Iterative Design ◽  
Rotary Engine ◽  
Before And After ◽  
Working Performance ◽  
Fixed Input ◽  
Aided Design

The constant need for improvement drives humans to look for the best possible option in every field. Computer Aided Design (CAD) is no exception, to follow the best method of designing a product and finalizing it, researchers came up with an idea to generate multiple designs using fixed input values and finalizing the most appropriate one. The objective is achieved using an iterative design process based on algorithms by a specific software. Generative design introduces a new experience based on the Integration of machine dynamics in the manufacturing of objects and about experience. In this work generative design method was investigated on an articulated rod, one of the most important components of the rotary engine, to effectively improve the overall working performance of the engine and enhance its performance by decreasing its mass. Since fuel consumption by the machine can be greatly reduced by lowering the mass, so the goal is to minimize the weight of the rod while mechanical characteristics have to be within the acceptable values. Also, finite element analysis (FEA) was investigated on the part as to ensure the reliability of the rod before and after optimization.

An iterative design method for regeneration reuse water network with internal water mains

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Honghai Wang ◽  
Zhao Wang ◽  
Xiaoxiao Wei ◽  
Qi Zhou ◽  
Weiyi Su
Keyword(s):  
Design Method ◽  
Water Network ◽  
Iterative Design ◽  
Reuse Water ◽  
Internal Water ◽  
Water Mains

scholarly journals Application of Sum of Squares Method in Nonlinear H∞ Control for Satellite Attitude Maneuvers

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Fanwei Meng ◽  
Dini Wang ◽  
Penghui Yang ◽  
Guanzhou Xie
Keyword(s):  
Design Method ◽  
Polynomial System ◽  
Nonlinear Problems ◽  
Sum Of Squares ◽  
Basic Relation ◽  
Analysis And Design ◽  
Iterative Design ◽  
Satellite Attitude ◽  
Dominant Design ◽  
Large Satellite

The Hamilton–Jacobi–Issacs (HJI) inequality is the most basic relation in nonlinear H∞ design, to which no effective analytical solution is currently available. The sum of squares (SOS) method can numerically solve nonlinear problems that are not easy to solve analytically, but it still cannot solve HJI inequalities directly. In this paper, an HJI inequality suitable for SOS is firstly derived to solve the problem of nonconvex optimization. Then, the problems of SOS in nonlinear H∞ design are analyzed in detail. Finally, a two-step iterative design method for solving nonlinear H∞ control is presented. The first step is to design an adjustable nonlinear state feedback of the gain array of the system using SOS. The second step is to solve the L2 gain of the system; the optimization problem is solved by a graphical analytical method. In the iterative design, a diagonally dominant design idea is proposed to reduce the numerical error of SOS. The nonlinear H∞ control design of a polynomial system for large satellite attitude maneuvers is taken as our example. Simulation results show that the SOS method is comparable to the LMI method used for linear systems, and it is expected to find a broad range of applications in the analysis and design of nonlinear systems.

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