Design of Transmission System Optimization Software for Off-Road Vehicle

2013 ◽  
Vol 718-720 ◽  
pp. 1651-1656
Author(s):  
Gao Gao Shang ◽  
Meng Ting Lu
Keyword(s):  
Objective Function ◽  
Power Loss ◽  
Loss Rate ◽  
System Optimization ◽  
Parameters Optimization ◽  
Power Performance ◽  
Road Vehicle ◽  
Vehicle Performance ◽  
Optimization Software ◽  
Objective Function Values

Based on a technique of mixed programming with MATLAB and C#, the transmission parameters optimization software was developed to improve the power performance of off-road vehicle. The power loss rate and the starting acceleration time were chosen as objective function, and the requirements of the vehicle performance and the gearbox ratio interval was used as constraint conditions. The result of verification example showed that both objective function values are reduced after optimization and the effect of optimization with power loss rate is more significant.

Robustness testing of non-hierarchic system optimization software

1994 ◽  
Author(s):  
Ernest Eason ◽  
Gustav Nystrom ◽  
Aragon Burlingham ◽  
Edward Nelson
Keyword(s):  
System Optimization ◽  
Optimization Software ◽  
Robustness Testing ◽  
Hierarchic System

Wave Energy Converter Array Optimization: A Review of Current Work and Preliminary Results of a Genetic Algorithm Approach Introducing Cost Factors

2015 ◽  
Author(s):  
Chris Sharp ◽  
Bryony DuPont
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Wave Energy ◽  
Reference Model ◽  
A Priori ◽  
System Optimization ◽  
Primary Energy ◽  
Close Relative ◽  
Cost Information ◽  
Multiple Test

Currently, ocean wave energy is a novel means of electricity generation that is projected to potentially serve as a primary energy source in coastal areas. However, for wave energy converters (WECs) to be applicable on a scale that allows for grid implementation, these devices will need to be placed in close relative proximity to each other. From what’s been learned in the wind industry of the U.S., the placement of these devices will require optimization considering both cost and power. However, current research regarding optimized WEC layouts only considers the power produced. This work explores the development of a genetic algorithm (GA) that will create optimized WEC layouts where the objective function considers both the economics involved in the array’s development as well as the power generated. The WEC optimization algorithm enables the user to either constrain the number of WECs to be included in the array, or allow the algorithm to define this number. To calculate the objective function, potential arrays are evaluated using cost information from Sandia National Labs Reference Model Project, and power development is calculated such that WEC interaction affects are considered. Results are presented for multiple test scenarios and are compared to previous literature, and the implications of a priori system optimization for offshore renewables are discussed.

scholarly journals Optimized lattice-based metamaterials for elastostatic cloaking

2021 ◽  
Vol 477 (2253) ◽  
pp. 20210418
Author(s):  
E. D. Sanders ◽  
M. A. Aguiló ◽  
G. H. Paulino
Keyword(s):  
Objective Function ◽  
Uniaxial Tension ◽  
Weighted Least Squares ◽  
Elliptical Hole ◽  
Adjoint System ◽  
System Optimization ◽  
Small Region ◽  
Shear Loading ◽  
Stiffness Properties ◽  
Stiffness Characteristics

An optimization-based approach is proposed to design elastostatic cloaking devices in two-dimensional (2D) lattices. Given an elastic lattice with a defect, i.e. a circular or elliptical hole, a small region (cloak) around the hole is designed to hide the effect of the hole on the elastostatic response of the lattice. Inspired by the direct lattice transformation approach to elastostatic cloaking in 2D lattices, the lattice nodal positions in the design region are obtained using a coordinate transformation of the reference (undisturbed) lattice nodes. Subsequently, additional connectivity (i.e. a ground structure) is defined in the design region and the stiffness properties of these elements are optimized to mimic the global stiffness characteristics of the reference lattice. A weighted least-squares objective function is proposed, where the weights have a physical interpretation—they are the design-dependent coefficients of the design lattice stiffness matrix. The formulation leads to a convex objective function that does not require a solution to an additional adjoint system. Optimization-based cloaks are designed considering uniaxial tension in multiple directions and are shown to exhibit approximate elastostatic cloaking, not only when subjected to the boundary conditions they were designed for but also for uniaxial tension in directions not used in design and for shear loading.

scholarly journals Optimisation of AWD off-road vehicle performance using visco-lock devices

2008 ◽  
Vol 15 (2/3/4) ◽  
pp. 188 ◽  
Author(s):  
A.M. Sharaf ◽  
G. Mavros ◽  
H. Rahnejat ◽  
P.D. King ◽  
S.K. Mohan
Keyword(s):  
Road Vehicle ◽  
Vehicle Performance

A novel objective function with artificial ecosystem-based optimization for relieving the mismatching power loss of large-scale photovoltaic array

2020 ◽  
Vol 225 ◽  
pp. 113385 ◽  
Author(s):  
Dalia Yousri ◽  
Thanikanti Sudhakar Babu ◽  
Seyedali Mirjalili ◽  
N. Rajasekar ◽  
Mohamed Abd Elaziz
Keyword(s):  
Objective Function ◽  
Power Loss ◽  
Large Scale ◽  
Photovoltaic Array ◽  
Artificial Ecosystem

scholarly journals Cable Tension Analysis Oriented the Enhanced Stiffness of a 3-DOF Joint Module of a Modular Cable-Driven Human-Like Robotic Arm

2020 ◽  
Vol 10 (24) ◽  
pp. 8871
Author(s):  
Kaisheng Yang ◽  
Guilin Yang ◽  
Chi Zhang ◽  
Chinyin Chen ◽  
Tianjiang Zheng ◽  
...  
Keyword(s):  
Objective Function ◽  
Optimization Model ◽  
Human Robot Interaction ◽  
Robotic Arm ◽  
Robot Interaction ◽  
Cable Tension ◽  
Tension Distribution ◽  
Stiffness Model ◽  
Redundantly Actuated ◽  
Objective Function Values

Inspired by the structure of human arms, a modular cable-driven human-like robotic arm (CHRA) is developed for safe human–robot interaction. Due to the unilateral driving properties of the cables, the CHRA is redundantly actuated and its stiffness can be adjusted by regulating the cable tensions. Since the trajectory of the 3-DOF joint module (3DJM) of the CHRA is a curve on Lie group SO(3), an enhanced stiffness model of the 3DJM is established by the covariant derivative of the load to the displacement on SO(3). In this paper, we focus on analyzing the how cable tension distribution problem oriented the enhanced stiffness of the 3DJM of the CHRA for stiffness adjustment. Due to the complexity of the enhanced stiffness model, it is difficult to solve the cable tensions from the desired stiffness analytically. The problem of stiffness-oriented cable tension distribution (SCTD) is formulated as a nonlinear optimization model. The optimization model is simplified using the symmetry of the enhanced stiffness model, the rank of the Jacobian matrix and the equilibrium equation of the 3DJM. Since the objective function is too complicated to compute the gradient, a method based on the genetic algorithm is proposed for solving this optimization problem, which only utilizes the objective function values. A comprehensive simulation is carried out to validate the effectiveness of the proposed method.

A Research on the Impact of Photovoltaic Power Network-Connected on Power Loss of Distribution Network

2013 ◽  
Vol 448-453 ◽  
pp. 2239-2244
Author(s):  
Yi Zhao ◽  
Li Liu ◽  
Wen Yao Sun ◽  
Quan Ping Zou
Keyword(s):  
Power Plant ◽  
Smart Grid ◽  
Power Loss ◽  
Power Plants ◽  
Loss Rate ◽  
Clean Energy ◽  
Power Network ◽  
Photovoltaic Power ◽  
Line Loss ◽  
The Impact

Smart Grid framework to achieve clean energy friendly access, to achieve energy conservation and reduction of environmental pollution, is to build the smart grid hallmark. Photovoltaic power plants grid, although to bring some impact on the grid, but also a certain role in promoting on the line loss rate decreased. This ignores the impact of other factors, only from the perspective satisfy voltage constraints, analyzing PV power plant different grid location and grid capacity for line loss rate.

An Evolutionary Algorithm for Black-Box Chance-Constrained Function Optimization

2013 ◽  
Vol 17 (2) ◽  
pp. 272-282
Author(s):  
Kazuyuki Masutomi ◽  
◽  
Yuichi Nagata ◽  
Isao Ono ◽  
◽  
...  
Keyword(s):  
Objective Function ◽  
Evolutionary Algorithm ◽  
Black Box ◽  
Function Optimization ◽  
Benchmark Problems ◽  
Objective Functions ◽  
Neural Network Controller ◽  
Objective Function Values ◽  
The Individual ◽  
Constrained Function

This paper presents an evolutionary algorithm for Black-Box Chance-Constrained Function Optimization (BBCCFO). BBCCFO is to minimize the expectation of the objective function under the constraints that the feasibility probability is higher than a userdefined constant in uncertain environments not given the mathematical expressions of objective functions and constraints explicitly. In BBCCFO, only objective function values of solutions and their feasibilities are available because the algebra expressions of objective functions and constraints cannot be used. In approaches to BBCCFO, a method based on an evolutionary algorithm proposed by Loughlin and Ranjithan shows relatively good performance in a realworld application, but this conventional method has a problem in that it requires many samples to obtain a good solution because it estimates the expectation of the objective function and the feasibility probability of an individual by sampling the individual plural times. In this paper, we propose a new evolutionary algorithm that estimates the expectation of the objective function and the feasibility probability of an individual by using the other individuals in the neighborhood of the individual. We show the effectiveness of the proposed method through experiments both in benchmark problems and in the problem of a inverted pendulum balancing with a neural network controller.

The Exergy Efficiency and Output Acoustic Power Performance Optimization of the Thermoacoustic Engine Micro-Cycle

2013 ◽  
Vol 712-715 ◽  
pp. 1609-1613 ◽  
Author(s):  
Jie Lin ◽  
Feng Wu ◽  
Jin Hua Fei ◽  
Tuo Wang
Keyword(s):  
Heat Resistance ◽  
Objective Function ◽  
Performance Optimization ◽  
Finite Time ◽  
Acoustic Power ◽  
Exergy Efficiency ◽  
Power Performance ◽  
Thermoacoustic Engine ◽  
The Relationship ◽  
High Output

The relationship between exergy efficiency and output acoustic power of the thermoacoustic engine microcycle model which only was accounted for the heat resistance had been analyzed using finite time thermodynamics.And through the new objective function,we obtain the optimization that not only obtain high exergy efficiency but also high output acoustic power at the same time.Optimized imperfection that we only pursue the high exergy efficiency, we obtain low output acoustic power and vice versa.We approve this conclusion by numerical calculation.The results that we obtained will be useful to optimal the design of a actual thermoacoustic engine.

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