Optimum Design of the Continuously Variable Transmission for a Motorcycle

2001 ◽  
Author(s):  
Yuan Mao Huang ◽  
Bi Shyang Hu
Keyword(s):  
Simulated Annealing Algorithm ◽  
Continuous Variable ◽  
Design Parameters ◽  
Objective Functions ◽  
Design Variables ◽  
Continuous Variable Transmission ◽  
Product Method ◽  
Variable Transmission ◽  
Annealing Algorithm ◽  
Further Development

Abstract Many design parameters affect the performance of continuous variable transmissions. This paper presents the optimization of a continuous variable transmission by using the simulated annealing algorithm. The Bessel method of curve fitting and the tensor product method of surface fitting were used to facilitate the discrete fuel consumption, emissions of carbon monoxide (CO) and HC compound of experimental engine data. A compromise method was used to analyze the multi-objective functions. The values for design variables are recommended for further development.

Minimum Fuel Consumption and CO Emission and Optimum Speed of the Motorcycle With a CVT

2001 ◽  
Author(s):  
Yuan Mao Huang ◽  
Bi Shyang Hu
Keyword(s):  
Fuel Consumption ◽  
Simulated Annealing Algorithm ◽  
Gear Ratio ◽  
Design Parameters ◽  
Speed Ratio ◽  
Optimum Speed ◽  
Product Method ◽  
Ratio Change ◽  
Annealing Algorithm ◽  
Co Emission

Abstract The simulated annealing algorithm with the Bessel method for the curve fitting and the tensor product method for the surface fitting was used to transform the discrete experimental data into the form that the method of optimization can use these data directly. The rotational speeds of an engine starting the movement and corresponding the optimum speed of a motorcycle, minimum speed ratio of a CVT, optimum tooth numbers of gears and the gear ratio for the specific engine data were obtained. The rotational speeds of an engine corresponding the beginning and ending of the CVT speed ratio change, the minimum fuel consumption and the CO emission, the optimum design parameters can be determined. The results of the design parameters can be recommended for the CVT with the specific engine.

Minimum Fuel Consumption and CO Emission and Optimum Speed of the Motorcycle with a CVT

2003 ◽  
Vol 125 (4) ◽  
pp. 311-317 ◽  
Author(s):  
Yuan Mao Huang ◽  
Bi Shyang Hu
Keyword(s):  
Fuel Consumption ◽  
Rotational Speed ◽  
Simulated Annealing Algorithm ◽  
Design Parameters ◽  
Speed Ratio ◽  
Engine Torque ◽  
Design Variables ◽  
Variable Transmission ◽  
Ratio Change ◽  
Co Emission

The simulated annealing algorithm with the Bessel method for curve fitting and the tensor product method for surface fitting is used to transform engine discrete experimental data into a form that enables these data to be incorporated in the optimization process. Optimum curves of the engine torque versus the engine rotational speed and the engine rotational speed versus the motorcycle speed for the fuel consumption and the carbon monoxide (CO) emission are obtained for a motorcycle with a continuously variable transmission (CVT). The engine rotational speed at which a motorcycle begins to move for the specific engine data is obtained. From design parameters, engine rotational speeds corresponding to the maximum and minimum CVT speed ratio change, the minimum fuel consumption and CO emission, and optimum design variables can be determined.

Optimal design of a parallel robotic gripper using enhanced multi-objective ant lion optimizer with a sensitivity analysis approach

2020 ◽  
Vol 40 (5) ◽  
pp. 703-721
Author(s):  
Golak Bihari Mahanta ◽  
Deepak BBVL ◽  
Bibhuti B. Biswal ◽  
Amruta Rout
Keyword(s):  
Sensitivity Analysis ◽  
Distribution Function ◽  
Design Parameters ◽  
Objective Functions ◽  
Content Type ◽  
Multi Objective ◽  
The Past ◽  
Design Variables ◽  
Pick And Place ◽  
Ant Lion

Purpose From the past few decades, parallel grippers are used successfully in the automation industries for performing various pick and place jobs due to their simple design, reliable nature and its economic feasibility. So, the purpose of this paperis to design a suitable gripper with appropriate design parameters for better performance in the robotic production systems. Design/methodology/approach In this paper, an enhanced multi-objective ant lion algorithm is introduced to find the optimal geometric and design variables of a parallel gripper. The considered robotic gripper systems are evaluated by considering three objective functions while satisfying eight constraint equations. The beta distribution function is introduced for generating the initial random number at the initialization phase of the proposed algorithm as a replacement of uniform distribution function. A local search algorithm, namely, achievement scalarizing function with multi-criteria decision-making technique and beta distribution are used to enhance the existing optimizer to evaluate the optimal gripper design problem. In this study, the newly proposed enhanced optimizer to obtain the optimum design condition of the design variables is called enhanced multi-objective ant lion optimizer. Findings This study aims to obtain optimal design parameters of the parallel gripper with the help of the developed algorithms. The acquired results are investigated with the past research paper conducted in that field for comparison. It is observed that the suggested method to get the best gripper arrangement and variables of the parallel gripper mechanism outperform its counterparts. The effects of the design variables are needed to be studied for a better design approach concerning the objective functions, which is achieved by sensitivity analysis. Practical implications The developed gripper is feasible to use in the assembly operation, as well as in other pick and place operations in different industries. Originality/value In this study, the problem to find the optimum design parameter (i.e. geometric parameters such as length of the link and parallel gripper joint angles) is addressed as a multi-objective optimization. The obtained results from the execution of the algorithm are evaluated using the performance indicator algorithm and a sensitivity analysis is introduced to validate the effects of the design variables. The obtained optimal parameters are used to develop a gripper prototype, which will be used for the assembly process.

Parameter Design of Conformal PML Based on 2D Monostatic RCS Optimization

2021 ◽  
Vol 36 (6) ◽  
pp. 726-733
Author(s):  
Yongjie Zhang ◽  
Xiaofeng Deng
Keyword(s):  
Electromagnetic Scattering ◽  
Simulated Annealing Algorithm ◽  
Design Method ◽  
Optimization Method ◽  
Parameter Design ◽  
Design Parameters ◽  
Absorption Effect ◽  
Absorbing Boundary ◽  
Design And Optimization ◽  
Annealing Algorithm

In this study, 2D finite element (FE) solving process with the conformal perfectly matched layer (PML) is elucidated to perform the electromagnetic scattering computation. With the 2D monostatic RCS as the optimization objective, a sensitivity analysis of the basic design parameters of conformal PML (e.g., layer thickness, loss factor, extension order and layer number) is conducted to identify the major parameters of conformal PML that exerts more significant influence on 2D RCS. Lastly, the major design parameters of conformal PML are optimized by the simulated annealing algorithm (SA). As revealed from the numerical examples, the parameter design and optimization method of conformal PML based on SA is capable of enhancing the absorption effect exerted by the conformal PML and decreasing the error of the RCS calculation. It is anticipated that the parameter design method of conformal PML based on RCS optimization can be applied to the cognate absorbing boundary and 3D electromagnetic computation.

Integrated control strategy of tractor hydromechanical continuously variable transmission

2020 ◽  
pp. 095440702095114
Author(s):  
Guang Xia ◽  
Huayu Zong ◽  
Xiwen Tang ◽  
Linfeng Zhao ◽  
Baoqun Sun
Keyword(s):  
Control Strategy ◽  
Integrated Control ◽  
Continuous Variable ◽  
Transmission Efficiency ◽  
Variable Speed ◽  
Speed Regulation ◽  
Continuous Variable Transmission ◽  
Variable Transmission ◽  
Working Resistance ◽  
Transmission Speed

Given the transmission efficiency fluctuation and response lag problem of hydromechanical continuous variable transmission combined with the complex and variable working environment of a tractor, an integrated control strategy of engine throttle compensation–hydromechanical continuous variable transmission speed regulation is adopted for dual-flow transmission control. On the basis of the estimation of working resistance, a fuzzy algorithm is used to design the throttle compensation law. Considering the maximum driving power of a tractor as the target of variable speed control, an hydromechanical continuous variable transmission efficiency model is established, and the control law of an hydromechanical continuous variable transmission displacement ratio with the maximum driving power of the tractor under any working condition is determined. On the basis of the wavelet neural network proportional–integral–derivative algorithm, the control law of the hydromechanical continuous variable transmission speed regulation is designed, and the parameters of proportional–integral–derivative control are corrected in real time during the control process. Based on MATLAB/Simulink modelling and simulation and the real vehicle verification test, results showed that the influence of hydromechanical continuous variable transmission efficiency fluctuation on the driving power of the entire vehicle, the response lag of the pump-controlled motor system, and the effect of the leakage on the variable speed control and the fluctuation of the working resistance are solved by studying the hydromechanical continuous variable transmission variable speed transmission control strategy. This strategy improves the stability of the tractor speed and ensured the quality of the work, thereby improving the ability of the tractor to adapt to complex working environments.

Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission

Energy ◽  
2014 ◽  
Vol 67 ◽  
pp. 623-630 ◽  
Author(s):  
Shahaboddin Shamshirband ◽  
Dalibor Petković ◽  
Amineh Amini ◽  
Nor Badrul Anuar ◽  
Vlastimir Nikolić ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Support Vector Regression ◽  
Continuous Variable ◽  
Support Vector ◽  
Continuous Variable Transmission ◽  
Power Split ◽  
Variable Transmission ◽  
Reaction Torque

Free Parameter Optimization of DTMDs Based on Improved Hybrid Genetic-Simulated Annealing Algorithm

2020 ◽  
Vol 20 (03) ◽  
pp. 2050031
Author(s):  
Qiang Han ◽  
Xuan Zhang ◽  
Kun Xu ◽  
Xiuli Du
Keyword(s):  
Simulated Annealing ◽  
Parameter Optimization ◽  
Free Parameter ◽  
Simulated Annealing Algorithm ◽  
Optimization Method ◽  
Design Parameters ◽  
Mass Ratio ◽  
Tuned Mass Dampers ◽  
Genetic Simulated Annealing Algorithm ◽  
Annealing Algorithm

The optimum design of distributed tuned mass dampers (DTMDs) is normally based on predefined restrictions, such as the location and/or mass ratio of the tuned mass dampers (TMDs). To further improve the control performance, a free parameter optimization method (FPOM) is proposed. This method only restricts the total mass of the DTMDs system and takes the installation position, mass ratio, stiffness and damping of each TMD as parameters to be optimized. An improved hybrid genetic-simulated annealing algorithm (IHGSA) is adopted to find the optimum values of the design parameters. This algorithm can solve the non-convexity and multimodality problems of the objective function and is quite effective in dealing with the large amount of computations in the free parameter optimization. A numerical benchmark model is adopted to compare the control efficiency of FPOM with conventional control scenarios, such as single TMD, multiple TMDs and DTMDs optimized through conventional methods. The results show that the DTMDs system optimized by using FPOM is superior to the other control scenarios for the same value of mass ratio.

scholarly journals Fare Optimality Analysis of Urban Rail Transit under Various Objective Functions

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Lianbo Deng ◽  
Zhao Zhang ◽  
Kangni Liu ◽  
Wenliang Zhou ◽  
Junfeng Ma
Keyword(s):  
Simulated Annealing Algorithm ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Elastic Demand ◽  
Benefit Analysis ◽  
Objective Functions ◽  
Passenger Flow ◽  
Urban Rail ◽  
Train Operation ◽  
Annealing Algorithm

Urban rail transit fare strategies include fare structures and fare levels. We propose a rail transit line fare decision based on an operating plan that falls under elastic demand. Combined with the train operation plan, considering flat fare and distance-based fare, and based on the benefit analysis of both passenger flow and operating enterprises, we construct the objective functions and build an optimization model in terms of the operators’ interests, the system’s efficiency, system regulation goals, and the system costs. The solving algorithm based on the simulated annealing algorithm is established. Using as an example the Changsha Metro Line 2, we analyzed the optimized results of different models under the two fare structures system. Finally the recommendations of fare strategies are given.

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