MDO of the Transmission System Based Collaborative Optimization

2011 ◽  
Vol 84-85 ◽  
pp. 19-23
Author(s):  
Yun Liu
Keyword(s):  
Fuel Economy ◽  
Optimization Model ◽  
Vehicle Dynamics ◽  
Optimization Methods ◽  
Transmission System ◽  
Collaborative Optimization ◽  
Traditional Design ◽  
Practical Engineering ◽  
Engineering Significance ◽  
Better Than

Collaborative Optimization has been studied a lot in recent years as an algorithm. The Collaborative Optimization is a strategy of a secondary optimization based on the consistency constrained optimization methods. Take ADT’s transmission system as research object, establish collaborative optimization model of the 45 tons ADT transmission system. Set vehicle dynamics and fuel economy as the ultimate optimization goal and then do collaborative optimization. It shows that the results of collaborative optimization methods is better than traditional design. The result is applied to the design of 45 tons ADT transmission system, it has a practical engineering significance.

The Research on Shift Rule of Double Clutch Transmission

2017 ◽  
Vol 873 ◽  
pp. 314-318
Author(s):  
Wen Tao Yu
Keyword(s):  
Fuel Economy ◽  
Vehicle Dynamics ◽  
Automatic Transmission ◽  
Transmission Model ◽  
Dynamics Model ◽  
Engine Model ◽  
Special Power ◽  
Double Clutch Transmission ◽  
Dynamic Shift ◽  
Better Than

Based on the dual clutch automatic transmission, the shift rule is studied. MTTLAB is used to establish the engine model, the transmission model and the vehicle dynamics model respectively. The input parameters are numerically analyed to analye the shift rules of the vehicle, including the best dynamic shift law and the best fuel economy shift law, the combination of shift law. According to the simulation results, we analysis three indicators which include shift speed and quality and fuel consumption.The acceleration performance of the vehicle is better than that of the economic shift rule when the dynamic shift rule is adopted. When the combined shift rule is adopted, the acceleration performance is changed from the slow to the fast. Economic shift law behave the minimum fuel consumption and the best economic performance, combined shift of the economy followed by the economic shift law, the dynamic law is the worst performance of the economy. The combined shift rule is suitable for vehicles that do not have special power requirements and fuel economy requirements for vehicles or vehicles that travel for a long period of time.

Analysis of the Permanent Magnet Guideway of High Temperature Superconducting Maglev

2013 ◽  
Vol 745-746 ◽  
pp. 197-202 ◽  
Author(s):  
Chang Qing Ye ◽  
Zi Gang Deng ◽  
Jia Su Wang
Keyword(s):  
High Temperature ◽  
Permanent Magnet ◽  
High Speed ◽  
Optimization Design ◽  
Optimization Methods ◽  
High Temperature Superconducting ◽  
Practical Engineering ◽  
Hts Maglev ◽  
Ndfeb Permanent Magnet ◽  
The Cost

t was theoretically and experimentally proved that High Temperature Superconducting (HTS) Maglev had huge potential employment in rail transportation and high speed launch system. This had attracted great research interests in practical engineering. The optimization design was one of the most important works in the application of the HTS Maglev. As the NdFeB permanent magnet and HTS materials prices increased constantly, the design optimization of the permanent guideway (PMG) of HTS maglev became one of the indispensable works to decrease the cost of the application. This paper first reviewed four types of PMGs used by the HTS Maglev, then disucssed their structures and magnetic fields. Finally, the optimization methods of these four PMGs were compared. It was suggested that with better optimization methods, the levitation performance within a limit cost got better. That would be helpful to the future numerical optimization of the PMG of the HTS maglev.

scholarly journals Static Experiment and Finite Element Analysis of a Multitower Cable-Stayed Bridge with a New Stiffening System

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaowei Wang ◽  
Yingmin Li ◽  
Weiju Song ◽  
Jun Xu
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Internal Force ◽  
Element Analysis ◽  
Cable Stayed Bridge ◽  
Practical Engineering ◽  
Static Experiment ◽  
Stiffening Effect ◽  
Better Than ◽  
Cable Stayed Bridges

Based on the stiffness limitations of the midtower in multitower cable-stayed bridges, a new stiffening system (tie-down cables) is proposed in this paper. The sag effects and wind-induced responses can be reduced with the proposed system because tie-down cables are short and aesthetic compared with traditional stiffening cables. The results show that the stiffening effect of tie-down cables is better than that of traditional stiffening cables in controlling the displacement and internal force of the bridge based on a static experiment and finite element analysis. Therefore, the proposed system can greatly improve the overall stiffness of a bridge, and its stiffening effect is better than that of traditional stiffening cables in controlling the displacement and internal force. The results provide a reference for the application of such systems in practical engineering.

Integrated Design of Airborne Radar Servo System Based on MATLAB/SIMULINK

2011 ◽  
Vol 204-210 ◽  
pp. 17-20
Author(s):  
Ding Zhen Li ◽  
Rui Min Jin
Keyword(s):  
Optimization Model ◽  
Electromechanical Coupling ◽  
Integrated Design ◽  
Control Design ◽  
Servo System ◽  
Coupling Model ◽  
Transmission System ◽  
Airborne Radar ◽  
Matlab Simulink ◽  
And Control

This thesis is according to the pitching part of airborne radar servo system. The electromechanical coupling model and optimization model which includes structure parameters and control parameters are built up based on model of mechanism transmission system and electricity control system. The dynamics model of mechanism transmission system includes the nonlinearity of backlash and is considered the influence of parameters for dynamics properties in structure of the mechanism transmission system. The method of integrated structure and control design is applied on the optimization model using GA. Simulation is done based on MATLAB/SIMULINK. Simulation results show that the method of integrated structure and control design is feasible and effective in servo system.

GA-Based Multi-Objective Fuzzy Matter-Element Optimization

2002 ◽  
Author(s):  
Yanwei Zhao ◽  
Ertian Hua ◽  
Guoxian Zhang ◽  
Fangshun Jin
Keyword(s):  
Genetic Algorithms ◽  
Optimization Problem ◽  
Fuzzy Optimization ◽  
Optimization Methods ◽  
Optimization Criterion ◽  
Multi Objective ◽  
Simple Genetic Algorithms ◽  
Solving Strategy ◽  
Crossover And Mutation ◽  
Better Than

The solving strategy of GA-Based Multi-objective Fuzzy Matter-Element optimization is put forward in this paper to the kind of characters of product optimization such as multi-objective, fuzzy nature, indeterminacy, etc. Firstly, the model of multi-objective fuzzy matter-element optimization is created in this paper, and then it defines the matter-element weightily and changes solving multi-objective optimization into solving dependent function K(x) of the single objective optimization according to the optimization criterion. In addition, modified adaptive macro genetic algorithms (MAMGA) are adopted to solve the optimization problem. It emphatically modifies crossover and mutation operator. By the comparing MAMGA with adaptive macro genetic algorithms (AMGA), not only the optimization is a little better than the latter, but also it reaches the extent to which the effective iteration generation is 62.2% of simple genetic algorithms (SGA). Lastly, three optimization methods, namely fuzzy matter-element optimization, linearity weighted method and fuzzy optimization, are also compared. It certifies that this method is feasible and valid.

Application of Multidisciplinary Design Optimization in the Truss Spar Concept Design

2010 ◽  
Author(s):  
Zhe Jiang ◽  
Weicheng Cui ◽  
Xiaoping Huang
Keyword(s):  
Design Optimization ◽  
Response Surface ◽  
Multidisciplinary Design Optimization ◽  
Coupling Effect ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Design Solution ◽  
Traditional Design ◽  
System Solution ◽  
Truss Spar

In the traditional design of a Truss Spar, designers usually choose different discipline as major concentration in different design phases. The coupling effect among disciplines can hardly be accounted for. Multidisciplinary design optimization has been proved to be an effective tool for the design of complex engineering systems, which takes all disciplines into account at the same time and exploit coupling effect among disciplines, thereby achieving the optimal system solution. In this paper, a multidisciplinary optimization scheme for a Truss Spar is firstly developed and the Truss Spar is decomposed into four modules: weight module, hydrodynamic module, structure module and stability module. Response surface method is used to replace the high-fidelity analysis to perform the approximate mathematical models of the objective function/constraints as a function of design variables. In order to enhance the accuracy of the predicted optimum, the response surface models are continuously updated using the information obtained from the numerical simulation of latest iterative results. Finally, an optimal design solution, which satisfies all the constraints, is obtained using collaborative optimization. The characteristics of the optimized design solution including hull weight, heave response, stability performance and strength of the bottom deck, are much improved comparing with traditional design.

scholarly journals Power Allocation Algorithm for an Energy-Harvesting Wireless Transmission System Considering Energy Losses

Algorithms ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
Su Zhao ◽  
Gang Huang ◽  
Qi Zhu
Keyword(s):  
Energy Harvesting ◽  
Power Allocation ◽  
Online Algorithm ◽  
Optimization Methods ◽  
Low Complexity ◽  
Transmission System ◽  
Wireless Transmission ◽  
Energy Losses ◽  
Average Throughput ◽  
Allocation Algorithm

For an energy-harvesting wireless transmission system, considering that a transmitter which can harvest energy from nature has two kinds of extra energy consumption, circuit consumption and storage losses, the optimization models are set up in this paper for the purpose of maximizing the average throughput of the system within a certain period of time for both a time-invariant channel and time-varying channel. Convex optimization methods such as the Lagrange multiplier method and the KKT (Karush–Kuhn–Tucker) condition are used to solve the optimization problem; then, an optimal offline power allocation algorithm which has a three-threshold structure is proposed. In the three-threshold algorithm, two thresholds can be achieved by using a linear search method while the third threshold is calculated according to the channel state information and energy losses; then, the offline power allocation is based on the three thresholds and energy arrivals. Furthermore, inspired by the optimal offline algorithm, a low-complexity online algorithm with adaptive thresholds is derived. Finally, the simulation results show that the offline power allocation algorithms proposed in this paper are better than other algorithms, the performance of the online algorithm proposed is close to the offline one, and these algorithms can help improve the average throughput of the system.

COLLABORATIVE OPTIMIZATION WITH DIMENSION REDUCTION

2010 ◽  
Vol 01 (02) ◽  
pp. 179-198 ◽  
Author(s):  
ZHENXIAO GAO ◽  
TIANYUAN XIAO ◽  
WENHUI FAN
Keyword(s):  
Dimension Reduction ◽  
Multidisciplinary Design Optimization ◽  
Optimization Problem ◽  
Convergence Property ◽  
Extreme Points ◽  
Optimization Methods ◽  
Collaborative Optimization ◽  
System Level ◽  
Design Variables ◽  
Feasible Domain

Collaborative optimization (CO) method is widely used in solving multidisciplinary design optimization (MDO) problems, yet its computation requirement has been an obstacle to the applications, leading to doubts about CO's convergence property. The feasible domain of CO problem is first examined and it is proven that feasible domain remains the same during the CO formulation. So is the same with extreme points. Then based on contemporary research conclusion that the system-level optimization problem suffers from inherent computational difficulties, it is further pointed out that the employment of meta-heuristic optimization methods in CO could eliminate these difficulties. To make CO more computational feasible, a new method collaborative optimization with dimension reduction (CODR) is proposed. It focused on optimization dimension reduction and lets local copy of common shared design variables equal system shared design variables directly. Thus, the number of dimensions that CODR could reduce equal the number of common shared design variables. Numerical experiment suggests that CODR reduces computations greatly without losing of optimization accuracy.

Multidisplinary Optimization of Crank-Link Mechanism of HCPE Based on iSIGHT

2013 ◽  
Vol 300-301 ◽  
pp. 99-103
Author(s):  
Ying Liu ◽  
Hong Xin Zhang ◽  
Kai Yin
Keyword(s):  
Response Surface ◽  
Optimization Model ◽  
Multidisciplinary Design Optimization ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Minimum Volume ◽  
Connecting Rod ◽  
Response Surface Models ◽  
Link Mechanism ◽  
Surface Models

The technology of multidisciplinary design optimization was elaborated, and the structure principle and dynamic model of HCPE were briefly presented. Based on the minimum volume, the collaborative optimization model of crank-link mechanism was constructed. The approximate response surface models of connecting rod and crankshaft were established by means of ANSYS calculation. By combined with iSIGHT software, the collaborative optimization system was realized, and the calculation speed was improved. The optimized volume decreased by 0.803% under the premise that couldn't change the crankshaft counterbalance. So the mass of the engine is reduced and the performance is improved.

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