LADRC automatic parameters computation based on robustness

Tuning App for the automatic computation of the LADRC parameters and evaluation of their performance when controlling a FOPDT system.
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Updated 4 Mar 2021

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This Matlab App allows the automatic computation of the nominal value of the critical gain, the controller bandwidth, and the observer bandwidth of the second-order LADRC for the control of a system approximated by a FOPDT model.

It requires as inputs the FOPDT model and through interaction with robustness level and manual tuning sliders, the user can visualize the closed loop response and evaluate the second-order LADRC performance with the aid of some measures.

This Tuning App computes the LADRC parameters by means of the tuning rules presented in the article: Tuning Rules for Active Disturbance Rejection Controllers via Multiobjective Optimization—A Guide for Parameters Computation Based on Robustness. DOI: https://doi.org/10.3390/math9050517

It contains its own built-in help and it was developed by using the MATLAB APP Designer.

Author: Blanca Viviana Martínez Carvajal
https://www.linkedin.com/in/blanca-viviana-mart%C3%ADnez-carvajal-6901701a/
https://www.researchgate.net/profile/Blanca_Martinez_Carvajal
https://es.mathworks.com/matlabcentral/profile/authors/15504222
Research Group: Predictive Control and Heuristic Optimization (CPOH).
University: Universitat Politècnica de València. http://www.upv.es

Cite As

Blanca Viviana Martinez Carvajal (2024). LADRC automatic parameters computation based on robustness (https://www.mathworks.com/matlabcentral/fileexchange/86403-ladrc-automatic-parameters-computation-based-on-robustness), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1

Description was updated.

1.0