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The Wind Turbine Control Toolbox, for use with MATLAB®, provides you with all of the tools needed to design and test control systems for wind turbines-all within the MATLAB environment.

The Wind Turbine Control Toolbox, for use with MATLAB, provides you with all of the tools needed to design and test control systems for wind turbines all within the MATLAB environment.

Features

The Wind Turbine Control Toolbox provides a comprehensive set of functions for the design, simulation, and analysis of wind turbines and their control systems. Specific features include:
  • Wind models including deterministic, stochastic and wind farm models. Includes world wide wind maps.
  • Electric generator models including permanent magnet, reluctance and induction in DQ and ABC forms.
  • Power system models including transmission lines and the power network.
  • Estimation algorithms including extended Kalman Filter and Unscented Kalman Filter.
  • Fault detection algorithms including detection filters and parity space.
  • Mechanism models including gear trains and tower bending.

Every function is fully documented. Descriptions of the inputs and outputs are provided, along with examples for proper usage. References to relevant textbooks, papers, and websites or included throughout. Most functions include built-in demos, which automatically produce illustrative plots. In addition, a powerful FileHelp system is provided with the toolbox – it enables you to search all function titles and headers for keywords so that you may navigate the depth of the toolbox with ease. Numerous demo scripts are included.

Prototype Systems Quickly

The Wind Turbine Control Toolbox allows you to design and test control systems in a matter of hours, not days or weeks. You can simulate any kind of aircraft. Changes are easy to make and you have excellent visibility into the resulting software. Prototyping your control systems and simulation models will reduce both development time and cost. MATLAB frees you from the expensive edit/compile/link cycle because it is interpretive and fully interactive. The MATLAB code can be easily ported to C++ using the Princeton Satellite Systems MatrixLib

Controller Design

The toolbox provides a variety of control design tools including frequency domain, eigenstructure, output feedback, Lyapunov based nonlinear and linear quadratic design functions. For example, the plot below shows a linear quadratic controller for a Horizontal AxisWind turbine. The controller feeds forward the estimated control voltage needed for a given wind speed and then uses a linear quadratic regulator about that operating point to handle uncertainties and small perturbations.

The toolbox also includes a variety of tools for building state and parameter estimators. These include Kalman Filters, Extended and Extended Iterated Kalman Filters along with Unscented Kalman Filters. Fault detection algorithms, including detection filters and parity space methods are included.

Wind Models

Wind models include deterministic with tower shading and stochastic models. Models suitable for wind farms are also included. Power coefficient models for both HAWT and VAWT are included.

Wind Turbine Modeling

Models for every element of wind turbine systems are included. This includes rotor/wind interaction models, generator models, motor models (for actuating pitch control) sensor models (including wind sensors, angle encoders, current sensors), electric system models (including inverters, circuit elements and the grid). Generator and inverter models include both Direct- Quadrature and ABC models. Functions for Park transformations are included.

Graphics and Simulation

The simulation function also will automatically linearize the nonlinear dynamics and generate a state space model. Most functions have built in plotting.

Support

The toolbox comes with full email and telephone support for 1 year. In addition Princeton Satellite Systems offers design support including custom functions and scripts for a very reasonable price.

Compatibility

The toolbox is compatible with MATLAB v7, Windows XP/NT/2000, UNIX, and MacOS X.