scholarly journals Gear ratio optimization of a full magnetic indirect drive chain for wind turbine applications

2017 ◽  
Author(s):  
Melaine Desvaux ◽  
Bernard Multon ◽  
Hamid Ben Ahmed ◽  
Stephane Sire ◽  
Aurelie Fasquelle ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Gear Ratio ◽  
Indirect Drive ◽  
Drive Chain ◽  
Ratio Optimization

scholarly journals On Variable-Universe Fuzzy Control for Drive Chain of Front-End Speed Regulated Wind Generator

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Hongwei Li ◽  
Kaide Ren ◽  
Haiying Dong ◽  
Shuaibing Li
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Fuzzy Controller ◽  
Synchronous Generator ◽  
Variable Universe ◽  
Neural Network Controller ◽  
Front End ◽  
Network Controller ◽  
Drive Chain

The rapid development of wind generation technology has boosted types of the new topology wind turbines. Among the recently invented new wind turbines, the front-end speed regulated (FSR) wind turbine has attracted a lot of attention. Unlike conventional wind turbine, the speed regulation of the FSR machines is realized by adjusting the guide vane angle of a hydraulic torque converter, which is converterless and much more grid-friendly as the electrically excited synchronous generator (EESG) is also adopted. Therefore, the drive chain control of the wind turbine owns the top priority. To ensure that the FSR wind turbine performs as a general synchronous generator, this paper firstly modeled the drive chain and then proposed to use the variable-universe fuzzy approach for the drive chain control. It helps the wind generator operate in a synchronous speed and outperform other types of wind turbines. The multipopulation genetic algorithm (MPGA) is adopted to intelligently optimize the parameters of the expansion factor of the designed variable-universe fuzzy controller (VUFC). The optimized VUFC is applied to the speed control of the drive chain of the FSR wind turbine, which effectively solves the contradiction between the low precision of the fuzzy controller and the number of rules in the fuzzy control and the control accuracy. Finally, the main shaft speed of the FSR wind turbine can reach a steady-state value around 1500 rpm. The response time of the results derived using VUFC, compared with that derived from a neural network controller, is only less than 0.5 second and there is no overshoot. The case study with the real machine parameter verifies the effectiveness of the proposal and results compared with conventional neural network controller, proving its outperformance.

Gear ratio optimization of two-speed transmission in electric off-road vehicle

2019 ◽  
Author(s):  
Xinxin Zhao ◽  
Jingkai Wang ◽  
Yaran Zhang ◽  
Jing Tang ◽  
Xiaoyan Zhao
Keyword(s):  
Gear Ratio ◽  
Road Vehicle ◽  
Ratio Optimization

Electric Vehicle Transmission Gear Ratio Optimization Based on Particle Swarm Optimization

2012 ◽  
Vol 187 ◽  
pp. 20-26 ◽  
Author(s):  
Qiang Gu ◽  
Xiu Sheng Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Particle Swarm ◽  
Gear Ratio ◽  
Swarm Optimization ◽  
Driving Range ◽  
Ratio Optimization ◽  
Power Component ◽  
Transmission Gear

The driving range of electric vehicles is less than traditional vehicles due to the restriction of energy storage. It is raising the efficiency of each power component that is one of increasing electric vehicle driving range methods. A particle swarm optimization is used to optimize transmission gear ratio on established electric vehicle power component models. A simulation that simulates the energy consumption of vehicle after gear ratio optimization is given to compare with the actual energy consumption data of the vehicle before gear ratio optimization. The results show that the energy consumption and driving range of the latter are better than the former therefore this optimization is valid.

Dynamic Optimization of Drivetrain Gear Ratio to Maximize Wind Turbine Power Generation—Part 2: Control Design

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
John F. Hall ◽  
Dongmei Chen
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Electrical Power ◽  
Control Design ◽  
Gear Ratio ◽  
Small Wind Turbines ◽  
Full Load Operation ◽  
Wind Profiles ◽  
Turbine Model

The cost of electrical power produced by small wind turbines impedes the use of this technology, which can otherwise provide power to millions of homes in rural regions worldwide. To encourage their use, small wind turbines must capture wind energy more effectively while avoiding increased equipment costs. A variable ratio gearbox (VRG) can provide this capability to the simple fixed-speed wind turbine through discrete operating speeds. This is the second of a two-part publication that focuses on the control of a VRG-enabled wind turbine. The first part presented a 100 kW fixed speed, wind turbine model, and a method for manipulating the VRG and mechanical brake to achieve full load operation. In this study, an optimal control algorithm is developed to maximize the power production in light of the limited brake pad life. Recorded wind data are used to develop a customized control design that is specific to a given site. Three decision-making modules interact with the wind turbine model developed in Part 1 to create possible VRG gear ratio (GR) combinations. Dynamic programming is applied to select the optimal combination and establish the operating protocol. The technique is performed on 20 different wind profiles. The results suggest an increase in wind energy production of nearly 10%.

Methods for Controlling a Wind Turbine System With a Continuously Variable Transmission in Region 2

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
Andrew H. Rex ◽  
Kathryn E. Johnson
Keyword(s):  
Wind Turbine ◽  
Gear Ratio ◽  
Continuously Variable Transmission ◽  
Variable Speed ◽  
Wind Turbine System ◽  
Variable Speed Wind Turbine ◽  
Fast Wind ◽  
Variable Transmission ◽  
Integral Controller ◽  
Proportional Integral Controller

Variable speed operation enables wind turbine systems to increase their aerodynamic efficiency and reduce fatigue loads. An alternative to the current electrically based variable speed technologies is the continuously variable transmission (CVT). A CVT is a transmission whose gear ratio can be adjusted to take on an infinite number of settings within the range between its upper and lower limits. CVT research in wind turbine applications predicts an improvement in output power and torque loads compared with fixed-speed machines. Also, a reduction in the harmonic content of the currents is anticipated by eliminating the power electronics. This paper develops a model that combines a CVT model with the FAST wind turbine simulator for simulating the system’s performance in MATLAB/SIMULINK. This model is useful for control development for a variable-speed wind turbine using a CVT. The wind turbine with CVT is simulated using two controllers: a proportional-integral controller and a nonlinear torque controller of the type commonly used in the wind industry.

Gear Ratio Optimization of a Multifunctional Walker Robot Using Dual-Motor Actuation

2021 ◽  
Author(s):  
John Bell ◽  
Emily Kamienski ◽  
Seiichi Teshigawara ◽  
Hirofumi Itagaki ◽  
H. Harry Asada
Keyword(s):  
Gear Ratio ◽  
Ratio Optimization

Gear ratio optimization and shift control of 2-speed I-AMT in electric vehicle

2015 ◽  
Vol 50-51 ◽  
pp. 615-631 ◽  
Author(s):  
Bingzhao Gao ◽  
Qiong Liang ◽  
Yu Xiang ◽  
Lulu Guo ◽  
Hong Chen
Keyword(s):  
Electric Vehicle ◽  
Gear Ratio ◽  
Shift Control ◽  
Ratio Optimization

scholarly journals Gear Ratio Optimization of a Multi-Speed Transmission for Electric Dump Truck Operating on the Structure Route

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1324 ◽  
Author(s):  
Senqi Tan ◽  
Jue Yang ◽  
Xinxin Zhao ◽  
Tingting Hai ◽  
Wenming Zhang
Keyword(s):  
Gear Ratio ◽  
Dump Truck ◽  
Ratio Optimization

Gear Transmission Density Maximization

2011 ◽  
Author(s):  
Alexander L. Kapelevich ◽  
Viacheslav M. Ananiev
Keyword(s):  
Gear Tooth ◽  
Load Capacity ◽  
Gear Ratio ◽  
Gear Transmission ◽  
Gear Trains ◽  
Reduced Costs ◽  
Gear Drives ◽  
Internal Gear ◽  
Ratio Optimization ◽  
Volume Functions

Maximization of the gear transmission density presents an important task. It allows to increase the output torque within given dimensional constrains that is critical, for instance, in racing gearboxes, or to reduce size and weight of aerospace gear drives. It can also lead to reduced costs for automotive and consumer product gear trains, etc. There are several ways to increase gear drive load capacity, including advanced design, materials, and technologies. This paper presents an approach that allows optimizing gearbox kinematic arrangement and gear tooth geometry to achieve high gear transmission density. It introduces dimensionless gearbox volume functions, which can be minimized by the internal gear ratio optimization. Different gearbox arrangements are analyzed to define a minimum of the volume functions. Application of the asymmetric gear tooth profiles power density maximization is also considered.

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