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%.
Skip Nav Destination
Article navigation
January 2013
Research-Article
Dynamic Optimization of Drivetrain Gear Ratio to Maximize Wind Turbine Power Generation—Part 2: Control Design
Dongmei Chen
Dongmei Chen
1
e-mail: dmchen@me.utexas.edu
Department of Mechanical Engineering,
Department of Mechanical Engineering,
University of Texas at Austin
,Austin, TX 78712
1Corresponding author.
Search for other works by this author on:
Dongmei Chen
e-mail: dmchen@me.utexas.edu
Department of Mechanical Engineering,
Department of Mechanical Engineering,
University of Texas at Austin
,Austin, TX 78712
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 17, 2011; final manuscript received April 5, 2012; published online October 30, 2012. Assoc. Editor: Alexander Leonessa.
J. Dyn. Sys., Meas., Control. Jan 2013, 135(1): 011017 (10 pages)
Published Online: October 30, 2012
Article history
Received:
July 17, 2011
Revision Received:
April 5, 2012
Accepted:
April 24, 2012
Citation
Hall, J. F., and Chen, D. (October 30, 2012). "Dynamic Optimization of Drivetrain Gear Ratio to Maximize Wind Turbine Power Generation—Part 2: Control Design." ASME. J. Dyn. Sys., Meas., Control. January 2013; 135(1): 011017. https://doi.org/10.1115/1.4006886
Download citation file:
Get Email Alerts
Cited By
Vibration Suppression based on Improved Adaptive Optimal Arbitrary-Time-Delay Input Shaping
J. Dyn. Sys., Meas., Control
Fault Detection of Automotive Engine System Based on Canonical Variate Analysis Combined With Bhattacharyya Distance
J. Dyn. Sys., Meas., Control (July 2025)
Related Articles
A Methodology to Synthesize Gearbox and Control Design for Increased Power Production and Blade Root Stress Mitigation in a Small Wind Turbine
J. Mech. Des (August,2017)
Optimal Control of a Wind Turbine With a Variable Ratio Gearbox for Maximum Energy Capture and Prolonged Gear Life
J. Sol. Energy Eng (August,2014)
Effects of Wind Turbine Starting Capability on Energy Yield
J. Eng. Gas Turbines Power (April,2012)
Dynamic Optimization of Drivetrain Gear Ratio to Maximize Wind Turbine Power Generation—Part 1: System Model and Control Framework
J. Dyn. Sys., Meas., Control (January,2013)
Related Proceedings Papers
Related Chapters
Power Quality Improvement in Windmill System Using STATCOM
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Multiobjective Decision-Making Using Physical Programming
Decision Making in Engineering Design
Optimum Architecture Development Using Evolutionary Programming
Intelligent Engineering Systems through Artificial Neural Networks Volume 18