| Issue |
E3S Web Conf.
Volume 687, 2026
The 2nd International Conference on Applied Sciences and Smart Technologies (InCASST 2025)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 12 | |
| Section | Green Technologies & Digital Society | |
| DOI | https://doi.org/10.1051/e3sconf/202668702003 | |
| Published online | 15 January 2026 | |
Development of a Nonlinear Mathematical Model and Gain Scheduling-Based Control for Wind Turbine Test Rig
Universitas Prasetiya Mulya, Department of Renewable Energy Engineering, Jl. BSD Raya Utama, BSD City, Banten 15339, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Universitas Prasetiya Mulya is developing a modular wind turbine test rig equipped with a data acquisition system and wind speed controller. However, the control system still needs to be developed. This research aims to design a control system that maintains turbine output power stability by regulating generator torque and pitch angle using a gain scheduling approach. The developed dynamic model includes aerodynamic, drivetrain, generator, and pitch actuator subsystems, based on experimental and simulation data. The tower and drivetrain are treated as rigid due to high structural integrity. The wind speed range used in modeling is 1–15 m/s, with a rated speed of 6 m/s. Below rated speeds, torque control maximizes power extraction, while above rated speeds, pitch control regulates rotor dynamics. The nonlinear model is linearized at above-rated conditions to obtain PID parameters for accurate pitch reference tracking. Simulation results show that the torque controller maintains a maximum power coefficient (Cp) of 0.3476 and an optimal tip speed ratio (TSR) of 3.931, while the pitch controller tracks references with 1–8.4% error depending on wind speed.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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