Skip to main content

Virtual Reference Feedback Tuning

Project description

pyvrft

Virtual Reference Feedback Tuning

Description

This Python Toolbox provides commands to design feedback controllers using the method Virtual Reference Feedback Tuning. The toolbox implements both SISO and MIMO controllers, using standard least-squares implementation and instrumental variables.

Install

Use PIP to install:

pip install pyvrft

Use

Please check the example folder. Basic use:

p = vrft.design(u, y, y, Td, C, L)

where u and y are input/output data, Td is the reference mode, C describes the controller structure and L is a pre-filter.

Contributors

Diego Eckhard - diegoeck@ufrgs.br - @diegoeck

Emerson Christ Boeira - emerson.boeira@ufrgs.br - @emersonboeira

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyvrft-1.1.tar.gz (9.8 kB view hashes)

Uploaded source

Built Distribution

pyvrft-1.1-py3-none-any.whl (11.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page