Optimal design of "FAST" active reflector adjustment based on regular optimization model

2021 ◽  
Author(s):  
Lingyu Wang ◽  
Huilin Li ◽  
Ye Kun ◽  
Jialin Zhao
Keyword(s):  
Optimal Design ◽  
Optimization Model ◽  
Active Reflector

Study on Optimization for Electric-Mechanic Transmission Parameters

2014 ◽  
Vol 654 ◽  
pp. 221-228
Author(s):  
Yi Yuan ◽  
Jiang Tao Gai ◽  
Zheng Da Han ◽  
Xin Zhang ◽  
Fan Wan
Keyword(s):  
Optimal Design ◽  
Optimization Model ◽  
Design Theory ◽  
Transmission Parameters ◽  
Motor Design ◽  
Genetic Arithmetic

Based on the optimal design theory, the optimization model for electric-mechanic transmission parameters is established in this paper, and genetic arithmetic is used to solve the optimization model. Comparing the transmission’s performance before optimization with that after optimization, the result shows that the motor design difficulty is reduced and the transmission’s performance is improved after optimaization.

scholarly journals Hierarchical Decomposition Synthesis in Optimal Systems Design

1997 ◽  
Vol 119 (4) ◽  
pp. 448-457 ◽  
Author(s):  
R. S. Krishnamachari ◽  
P. Y. Papalambros
Keyword(s):  
Optimal Design ◽  
Optimization Model ◽  
Multicriteria Optimization ◽  
Systems Design ◽  
System Optimization ◽  
Hierarchical Decomposition ◽  
Objective Functions ◽  
Formal Process ◽  
Large Systems ◽  
System Objective

Optimal design of large systems is easier if the optimization model can be decomposed and solved as a set of smaller, coordinated subproblems. Casting a given design problem into a particular optimization model by selecting objectives and constraints is generally a subjective task. In system models where hierarchical decomposition is possible, a formal process for selecting objective functions can be made, so that the resulting optimal design model has an appropriate decomposed form and also possesses desirable properties for the scalar substitute functions used in multicriteria optimization. Such a process is often followed intuitively during the development of a system optimization model by summing selected objectives from each subsystem into a single overall system objective. The more formal process presented in this article is simple to implement and amenable to automation.

scholarly journals Feasibility and optimal design of a hybrid power system for rural electrification for a small village

2020 ◽  
Vol 10 (6) ◽  
pp. 6214
Author(s):  
Bankole Adebanji ◽  
Gafari Abiola Adepoju ◽  
Paul Olulope ◽  
Taiwo Fasina ◽  
Oluwumi Adetan
Keyword(s):  
Optimal Design ◽  
Root Mean Square Error ◽  
Power System ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Optimization Model ◽  
Rural Electrification ◽  
Mean Square ◽  
Small Hydropower ◽  
Hybrid Power

A hybrid renewable energy system is at present accepted globally, as the best option for rural electrification particularly in areas where grid extension is infeasible. However, the need for hybrid design to be optimal in terms of operation and component selection serves as a challenge in obtaining reliable electricity at a minimum cost. In this work, the feasibility of installing a small hydropower into an existing water supply dam and the development of an optimal sizing optimization model for a small village-Itapaji, Nigeria were carried out. The developed hybrid power system (HPS) model consists of solar photovoltaic, small hydropower, battery and diesel generator. The optimal sizing of the system’s components for optimum configuration was carried out using Genetic Algorithm. The hybrid model’s results were compared with hybrid optimization model for electric renewable (HOMER) using correlation coefficient (r) and root mean square error (RMSE) to verify its validity. The results of the simulation obtained from the developed model showed better correlation coefficient (r) of 0.88 and root mean square error (RMSE) of 0.001 when compared to that of HOMER. This will serve as a guide for the power system engineers in the feasibility assessment and optimal design of HPS for rural electrification.

Vibration Analysis and Optimal Design for Cab’s Isolation System of Vibratory Roller

2011 ◽  
Vol 199-200 ◽  
pp. 936-940 ◽  
Author(s):  
Le Van Quynh ◽  
Jian Run Zhang ◽  
Guo Wang Jiao ◽  
Xiao Bo Liu ◽  
Yuan Wang
Keyword(s):  
Optimal Design ◽  
Optimization Model ◽  
Vibration Analysis ◽  
Ride Comfort ◽  
Dynamic Test ◽  
Low Frequency ◽  
Frequency Range ◽  
Working Capacity ◽  
Forward Motion ◽  
Isolation System

In recent years, vibration roller market has required increasingly not only on working capacity but also ride comfort. Thus, in order to reduce the effect of vibration to operators, identification and elimination of vibration sources are the most important tasks to achieve optimum design. In this paper, the attention is paid to cab’s low-frequency sloshing analysis and optimal design for cab’s isolation system of vibratory roller. When working, it often exists the problem of cab’s low-frequency sloshing in the direction of forward motion. In order to solve this problem, the dynamic test and simulations analysis are carried out; and the main reasons causing cab’s low-frequency sloshing are found out. The optimization model according to the two points response amplitude in the direction of forward motion on the cab to reach the minimum value in the low frequency range is proposed in this paper. And also, the auxiliary vibrations isolator for solving the low-frequency sloshing in the direction of forward motion is designed.

scholarly journals Multiparametric Analysis of a Gravity Retaining Wall

2021 ◽  
Vol 11 (13) ◽  
pp. 6233
Author(s):  
Rok Varga ◽  
Bojan Žlender ◽  
Primož Jelušič
Keyword(s):  
Optimal Design ◽  
Optimization Model ◽  
Retaining Wall ◽  
Interaction Coefficient ◽  
Shear Angle ◽  
Design Parameters ◽  
Gravity Retaining Wall ◽  
Multiparametric Analysis ◽  
Wall Interaction ◽  
Project Data

The design of a gravity retaining wall should be simple to construct, quick to build and the best economic solution to a problem. This can be achieved by using advanced optimization methods. Since geotechnical engineers are not always able to determine the exact soil properties and other project data, an optimal design of a gravity retaining wall should also be determined for a wide range of input parameters. Therefore, a multiparametric analysis of an optimal designed gravity retaining wall was carried out. Optimum designs of gravity retaining walls were obtained for 567 combinations of different design parameters. Diagrams were developed to help engineers determine the optimum section of the wall, based on construction costs. An exhaustive search was carried out within the available parameters (project data). The parameters were ranked according to which had the most influence on the optimum cost of the gravity retaining wall and the utilization of multiple constraints. The most important parameter for the optimal cost of a gravity retaining wall is the height of the retained ground, followed by the shear angle of the soil, the soil–wall interaction coefficient, the slope angle and the variable surcharge load. The shear angle of the soil is most relevant to the bearing capacity and eccentricity condition, while the soil–wall interaction coefficient is most relevant to the sliding condition. Since European countries apply different load, material and resistance safety factors, the optimization model was developed in a general form, where different design approaches and unit prices could be applied. The case study provides an improved optimization model for selecting the optimal design of gravity walls, for engineers.

OPTIMAL DESIGN OF A MULTI-STATE WEIGHTED SERIES-PARALLEL SYSTEM USING PHYSICAL PROGRAMMING AND GENETIC ALGORITHMS

2011 ◽  
Vol 28 (04) ◽  
pp. 543-562 ◽  
Author(s):  
WEI LI ◽  
MING J. ZUO ◽  
RAMIN MOGHADDASS
Keyword(s):  
Optimal Design ◽  
Optimization Model ◽  
Parallel Systems ◽  
Optimization Method ◽  
Parallel System ◽  
System Model ◽  
System Cost ◽  
Physical Programming ◽  
Reliability Characteristics ◽  
Single Objective

In this paper, we report a study of the reliability optimal design of multi-state weighted series-parallel systems. Such a system and its components are capable of assuming a whole range of levels of performance, varying from perfect functioning to complete failure. There is a component utility corresponding to each component state. This system model is more general than the traditional binary series-parallel system model. The so-called component selection reliability optimal design problem which involves selection of components with known reliability characteristics and cost characteristics has been widely studied. However, the problem of determining system cost and system utility based on the relationships between component reliability, cost and utility has not been adequately addressed. We call it optimal component design reliability problem which has been studied in one of our former papers and continued in this paper for the multi-state weighted series-parallel systems. Furthermore, comparing to the traditional single-objective optimization model, the optimization model we proposed in this paper is a multi-objective optimization model which is used to maximize expected system performance utility and system reliability while minimizing investment system cost simultaneously. Genetic algorithm is used to solve the proposed physical programming based optimization model. An example is used to illustrate the flexibility and effectiveness of the proposed approach over the single-objective optimization method.

Static Analysis and Parameter Optimization of the Grab Bucket

2011 ◽  
Vol 130-134 ◽  
pp. 2625-2628 ◽  
Author(s):  
Xian Long Wang ◽  
Qing Hua Liang ◽  
Wei Zhong Guo
Keyword(s):  
Optimal Design ◽  
Objective Function ◽  
Static Analysis ◽  
Optimum Design ◽  
Parameter Optimization ◽  
Optimization Model

This paper aims to provide an optimum design for the grab bucket on the port, analyze the parameters related to its grabbing function from static aspect. Taking the minimum grabbing moment as static elevation indicators, a nonlinear multi-variable optimization model was established taking the grabbing torque as the objective function. A function atlas was drawn on this purpose. The Matlab GA toolbox has been used in optimal design of the key parameters of grab bucket which used to be designed according to experiences, to improve the grab torque which leads to better performance and the higher efficiency of the grab bucket .In the end, an case was studied to demonstrate its effectiveness.

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