High Fidelity Dynamic Modeling and Control of Power Regenerative Hydrostatic Wind Turbine Test Platform

Mohanty, Biswaranjan; Stelson, Kim A.

doi:10.1115/fpmc2018-8900

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Since detailed data on the efficiency variation of the components in the proposed Pecos design are lacking, we will perform the validating simulation on the hydrostatic wind transmission in the Hydraulic Power Transmission Lab at the University of Minnesota, where detailed manufacturer data analysis and experimental validation have already been conducted. The dynamic modeling and control of the test stand are well developed based on experiments [17]. This test stand consists of a 2512 cc/rev radial piston pump (maximum pressure 350 bar), a 135 cc/rev variable displacement axial piston motor, and a synchronous generator running at 1800 rpm [18].…”

Section: Assumption Validationmentioning

confidence: 99%

Feasibility of Hydrostatic Transmission in Community Wind Turbines

Sheng,

Escobar-Naranjo,

Stelson

2023

Actuators

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This study investigates the potential improvement of a community wind turbine through replacing the conventional drivetrain with a hydrostatic transmission (HST). Conventional wind turbines use a fixed-ratio gearbox, a variable-speed induction generator, and power electronics to match the grid frequency. Because of unsteady wind, the reliability of the gearbox has been a major issue. An HST, a continuously variable transmission with a high power density, can replace a conventional transmission. The resulting wind turbine has the potential to offer the advantages of a lower cost, decreased weight, and increased reliability. For the application considered in this study, the main source of LCOE increase is due to the inefficiencies in the system. Even if the cost of the proposed HST transmission is free, because of inefficiency, the levelized cost of electricity will be higher than for a turbine with a conventional fixed-ratio gearbox. For the HST solution to be cost-competitive, increases in efficiency and reductions in cost are required.

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Section: Assumption Validationmentioning

confidence: 99%

Feasibility of Hydrostatic Transmission in Community Wind Turbines

Sheng,

Escobar-Naranjo,

Stelson

2023

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“…The HST has a fixed-displacement, low-speed, high-torque pump and a variable-displacement, highspeed, low-torque motor. The HSD has a variable-displacement high-speed, low-torque pump driving a fixed displacement, low-speed, high-torque motor [16]. The output power of the HSD drives the HST pump through the low-speed shaft.…”

Section: Dynamics Of the Power Regenerative Dynamometermentioning

confidence: 99%

“…A unified bond graph model of the dynamometer is shown in Figure 4 [17]. The energy storage elements; the inertia in the mechanical system, I 1 and I 2 ; and fluid capacitance, C A high-fidelity mathematical model was developed to represent the dynamic behavior of the power-regenerative dynamometer [16]. The dynamometer is governed by high speed (HS) generator shaft dynamics, low-speed (LS) rotor shaft dynamics, and HSD and HST pressure dynamics.…”

Section: Dynamics Of the Power Regenerative Dynamometermentioning

confidence: 99%

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Dynamics and Control of an Energy-Efficient, Power-Regenerative, Hydrostatic Wind Turbine Dynamometer

Mohanty

Stelson

2022

Energies

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Dynamometers are used to evaluate the real-world performances of drivetrains in various loading conditions. Due to its superior power density, high bandwidth, and design flexibility, a hydrostatic power-regenerative dynamometer is an ideal candidate for hydrostatic wind turbine transmission testing. A dynamometer can emulate the wind turbine rotor dynamics and allow the investigation of the performance of a unique hydrostatic drivetrain without actually building the physical system. The proposed dynamometer is an energy-efficient system with counter-intuitive control challenges. This paper presents the dynamics, control synthesis, and experimental validation of a power-regenerative hydrostatic dynamometer. A fourth-order non-linear model with three inputs was formulated for the dynamometer. The strength of input–output couplings was identified, and two different decoupling controllers were designed and implemented. During wind turbine testing, the synchronous generator turns at a constant speed and the system model is linear. A steady-state decoupling controller was developed for independent control of the drive and transmission. The implemented decoupling controller demonstrated a negligible change in rotor speed for a 40 bar step increase in pressure, but a 20 bar pressure spike for a 4 rpm step change in rotor speed. However, during starting and stopping, the synchronous generator speed is not constant, and the system model is nonlinear. Therefore, a steady-state decoupling controller will not work. Thus, a decentralized controller with feed-forward control and gain scheduling was designed and implemented. A reference command was designed to avoid cavitation, pressure spikes, and power flow reversal during start-up. The experimental results show precise tracking in steady-state and transient operations. The decentralized controller demonstrated a negligible change in rotor speed for a 40 bar step increase in pressure but a 100 bar pressure spike for a 4 rpm step increase in rotor speed. The pressure spike was reduced by 80 bar with the implementation of feed-forward gain. The proposed electro-hydro-mechanical system requires less power and has the potential to reduce energy expenditure by 50%.

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