Design of state-space-based control algorithms for wind turbine speed regulation

2002 ◽  
Author(s):  
A. Wright ◽  
M. Balas
Keyword(s):  
Wind Turbine ◽  
State Space ◽  
Control Algorithms ◽  
Speed Regulation ◽  
Turbine Speed

Design of State-Space-Based Control Algorithms for Wind Turbine Speed Regulation

2003 ◽  
Vol 125 (4) ◽  
pp. 386-395 ◽  
Author(s):  
Alan D. Wright ◽  
Mark J. Balas
Keyword(s):  
Wind Turbine ◽  
State Space ◽  
Degrees Of Freedom ◽  
Linear Models ◽  
Pole Placement ◽  
Control Algorithms ◽  
Simulation Code ◽  
Speed Regulation ◽  
Full Load Operation ◽  
Turbine Speed

Control can improve the performance of wind turbines by enhancing energy capture and reducing dynamic loads. At the National Renewable Energy Laboratory, we are beginning to design control algorithms for regulation of turbine speed and power using state-space control designs. In this paper, we describe the design of such a control algorithm for regulation of rotor speed in full-load operation (Region 3) for a two-bladed wind turbine. We base our control design on simple linear models of a turbine, which contain rotor and generator rotation, drive train torsion, rotor flap (first mode only), and tower fore-aft degrees of freedom (DOFs). Wind-speed fluctuations are accounted for using Disturbance Accommodating Control (DAC). We show the capability of these control schemes to stabilize the modeled turbine modes via pole placement, while using state estimation to reduce the number of turbine measurements that are needed for these algorithms. These controllers are incorporated into a simulation code and simulated for various conditions. Finally, conclusions to this work and future studies are outlined.

Design of State-Space-Based Control Algorithms for Wind Turbine Speed Regulation

2002 ◽  
Author(s):  
Alan D. Wright ◽  
Mark J. Balas
Keyword(s):  
Wind Turbine ◽  
State Space ◽  
Degrees Of Freedom ◽  
Linear Models ◽  
Pole Placement ◽  
Control Algorithms ◽  
Speed Regulation ◽  
Full Load Operation ◽  
Turbine Speed ◽  
Speed Fluctuations

Control can improve the performance of wind turbines by enhancing energy capture and reducing dynamic loads. At the National Renewable Energy Laboratory, we are beginning to design control algorithms for regulation of turbine speed and power using state-space control designs. In this paper, we describe the design of such a control algorithm for regulation of rotor speed in full-load operation (region 3) for a two-bladed wind turbine. We base our control design on simple linear models of a turbine, which contain rotor and generator rotation, drivetrain torsion, and rotor flap degrees of freedom (first mode only). We account for wind-speed fluctuations using disturbance-accommodating control. We show the capability of these control schemes to stabilize the modeled turbine modes via pole placement, while using state estimation to reduce the number of turbine measurements that are needed for these control algorithms. We incorporate these controllers into the FAST_AD code and show simulation results for various conditions. Finally we report conclusions to this work and outline future studies.

Disturbance Observer Based Control Design for Wind Turbine Speed Regulation

2016 ◽  
Author(s):  
Yuan Yuan ◽  
Xu Chen ◽  
Jiong Tang
Keyword(s):  
Wind Turbine ◽  
Pid Controller ◽  
Disturbance Observer ◽  
Control Loop ◽  
Wind Fields ◽  
Model Mismatch ◽  
Model Based ◽  
Speed Regulation ◽  
Power Regulation ◽  
Turbine Speed

Disturbance observer based (DOB) control has been implemented in motion control to reject unknown or time-varying disturbances. In this research, an internal model-based disturbance observer (DOB) design combined with a PID type feedback controller is formulated for wind turbine speed and power regulation. The DOB controller facilitates model-based estimation and cancellation of disturbance using an inner feedback control loop. The disturbance observer combined with a compensator is further designed to deal with the model mismatch. The proposed method is applied to National Renewable Energy laboratory (NREL) offshore 5-MW wind turbine. Our case studies show that the DOB controller can achieve improved speed and power regulation compared to the baseline PID controller, and exhibit excellent robustness under different turbulent wind fields.

Robust Model Reference Adaptive Control Design for Wind Turbine Speed Regulation Simulated by Using FAST

2018 ◽  
Vol 144 (2) ◽  
pp. 04018007 ◽  
Author(s):  
Xiao Wang ◽  
Wenzhong Gao ◽  
Tianqi Gao ◽  
Qiao Li ◽  
Jianhui Wang ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Control Design ◽  
Model Reference Adaptive Control ◽  
Model Reference ◽  
Speed Regulation ◽  
Robust Model ◽  
Turbine Speed ◽  
Model Reference Adaptive

Direct adaptive control of a utility-scale wind turbine for speed regulation

2009 ◽  
Vol 19 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Susan A. Frost ◽  
Mark J. Balas ◽  
Alan D. Wright
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Speed Regulation ◽  
Direct Adaptive Control ◽  
Utility Scale

State-Space Dynamic Performance Preview-Predictive Controller

2006 ◽  
Vol 129 (2) ◽  
pp. 144-153 ◽  
Author(s):  
Andrzej W. Ordys ◽  
Masayoshi Tomizuka ◽  
Michael J. Grimble
Keyword(s):  
State Space ◽  
Predictive Control ◽  
Performance Index ◽  
Dynamic Performance ◽  
Optimization Procedure ◽  
Control Algorithms ◽  
Optimization Approach ◽  
Linear Quadratic ◽  
Preview Control ◽  
Predictive Controller

The paper discusses state-space generalized predictive control and the preview control algorithms. The optimization procedure used in the derivation of predictive control algorithms is considered. The performance index associated with the generalized predictive controller (GPC) is examined and compared with the linear quadratic (LQ) optimal control formulation used in preview control. A new performance index and consequently a new algorithm is proposed dynamic performance predictive controller (DPPC) that combines the features of both GPC and preview controller. This algorithm minimizes the performance index through a dynamic optimization. A simple example illustrates the features of the three algorithms and prompts a discussion on what is actually minimized in predictive control. The DPPC algorithm, derived in this paper, provides for a minimum of the predictive performance index. The differences and similarities between the preview control and the predictive control have been discussed and optimization approach of predictive control has been explained.

Wind Turbine Speed Control by Automatic Yawing

1983 ◽  
Vol 7 (3) ◽  
pp. 237-242 ◽  
Author(s):  
Kurt H. Hohenemser ◽  
Andrew H. P. Swift
Keyword(s):  
Wind Turbine ◽  
Speed Control ◽  
Turbine Speed

The design and analysis of wind turbine based on differential speed regulation

2015 ◽  
Vol 230 (2) ◽  
pp. 221-229 ◽  
Author(s):  
Rui Su ◽  
Xiaoming Rui ◽  
Xin Wu ◽  
Qidong Yin
Keyword(s):  
Wind Turbine ◽  
Frequency Converter ◽  
Synchronous Generator ◽  
Input Power ◽  
Gear Train ◽  
Critical Conditions ◽  
Parameter Determination ◽  
Simulink Model ◽  
Speed Regulation ◽  
Differential Speed

Aiming problems arising from the wind turbine with the frequency converter, this paper proposes a design for wind turbine based on differential speed regulation. The dynamic characteristics and parameter determination method of the structural components including differential gear train and speed regulating motor (SRM) were studied and the dynamic characteristic expression were obtained. The critical conditions about input power or output power for ring gear driven by SRM were researched. The way to determine the optimal structure parameters of SRM was put forward. The minimum peak power of SRM was regarded as the objective function while the transmission ratios of three gear sets which were placed in the different positions of overall structure scheme was optimized. A SIMULINK model of 1.5 MW wind turbine based on differential speed regulation was built and ran. The rotational speed, torque and power of the wind rotor, the SRM and the synchronous generator were obtained respectively. The simulation results can verify effectiveness of the theoretical analysis and parameter configuration.

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