LabVIEW System Identification Toolkit

Publish Date: Nov 25, 2013 | 0 Ratings | 0.00 out of 5 |  PDF

Overview

The National Instruments LabVIEW System Identification Toolkit is a library of VIs and an assistant for developing models of a system based on a large set of raw data. Both tools enable you to complete the entire system identification process from analyzing the raw data to validating the identified model. Whether you are an experienced LabVIEW programmer or a beginner, you can benefit from the System Identification Assistant to develop a model that reflects the behavior of a certain dynamic system in even less time.

Table of Contents

  1. Description
  2. Demonstrations
  3. System Requirements
  4. Pricing and Purchasing

1. Description

System identification is a method of developing mathematical models of a dynamic system based on a set of measured stimulus and response data. You can use system identification in a wide range of applications, including mechanical engineering, biology, physiology, meteorology, economics, and model-based control design. A model-based control design process often involves identifying a plant model, analyzing and synthesizing a controller for the plant, simulating the closed-loop system, and deploying the controller to real-time hardware. System identification – identifying a model of a plant – is often the initial step.

The LabVIEW System Identification Toolkit:

- Assists you in identifying large multivariable models of high-order systems from real-world data.
- Provides two tools, an assistant and a library of VIs, for identifying discrete single-input single-output and multiple-input multiple-output linear systems.
- Enables you to complete the entire system identification process from analyzing the raw data to validating the identified model.

The System Identification Assistant allows you to:
- Interactively develop a model that reflects the behavior of a certain dynamic system.
- Create a project that encompasses the whole system identification process: load or acquire raw data, preprocess the data, estimate a model that describes the system, and validate the model.
- Integrate with the LabVIEW Control Design Assistant to analyze the open or closed-loop system and design a controller.
- Convert the project to a LabVIEW block diagram and customize the block diagram in LabVIEW to enhance the capabilities of the application.

The System Identification VIs allow you to:
- Preprocess raw data from a dynamic system and develop a model that reflects the behavior of that system.
- Analyze the response of a plant or dynamic system to a certain stimulus.
- Estimate a model for the plant or dynamic system.
- Determine whether the model accurately describes dynamics of the identified system.
- Customize a LabVIEW block diagram to achieve specific goals.

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2. Demonstrations



Stimulus and Acquisition Considerations in the System Identification Process

Identification of Closed Loop Systems

NI CompactRIO – Reconfigurable Control and Acquisition System
 

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3. System Requirements


To use the System Identification Toolkit, you need to have the following software installed:

  • National Instruments LabVIEW 7.1 or later, Full or Professional Development System Windows XP/2000/NT 4.0 sp6

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4. Pricing and Purchasing


NI LabVIEW System Identification Toolkit

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usermanual.pdf

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