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Parametric and Nonparametric PID controller tuning method for integrating processes based on Magnitude Optimum

Authors: Kos, Tomaž; Vrančić, Damir;

Parametric and Nonparametric PID controller tuning method for integrating processes based on Magnitude Optimum

Abstract

MATLAB's implementation of the MOMI tuning rule for 2-DOF PID controller parameters for integrating processes. For newest version of the code check JSI GitLab. Authors: Tomaž Kos and Damir Vrančić, Department of Systems and Control, Jozef Stefan Institute (JSI), Jamova cesta 39, 1000 Ljubljana, Slovenia Installation Implemented code was tested in MATLAB version 2018. No additional installation is needed. Just run one of the main scripts (*.m files in the root directory of the code). Description of the main MATLAB scripts used in paper PIDb_ilustritative_example.m This .m file performs PIDb controller tuning and the closed-loop tests for different reference weighting factor b values. Used in Section 2.3 of the paper. PIDb_examples_tests.m This .m file performs PIDb controller tuning and the closed-loop tests for different process models. Used in Section 4.1 of the paper. PIDb_PI_comparison.m This .m file performs PIDb and 2-DOF PI controllers tuning and the closed-loop comparison between controllers for different process models. Used in Section 4.2 of the paper. PIDf_PIDb_comparison.m This .m file performs PIDb and PIDf controllers tuning and the closed-loop tests comparison between controllers for different process models. Used in Section 4.3 of the paper. PIDf_PIDb_robustness.m This .m file performs PIDb and PIDf controllers tuning and the robustness test. Used in Section 5 of the paper. PIDf_comparison_other.m This .m file performs PIDf controllers tuning and the closed-loop tests comparison with other tuning methods for integrating processes. Used in Section 6 of the paper. ChAmp_test.m This .m file performs test, plots and calculation of the PIDb and PIDf controllers parameters, for real-time process (control system for Charge Amplifier drift removal). Used in Section 7 of the paper.

Keywords

set-point weighting, integrating processes, Physiology, Information Systems not elsewhere classified, magnitude optimum, controller tuning, Infectious Diseases, 2-DOF, Environmental Sciences not elsewhere classified, PID control, Genetics, PI controller, reference filter, Biological Sciences not elsewhere classified

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