The goal of this paper is to present a software tool intended to aid at the design of 2DoF PI/PID controllers by using the Model REference Robust Tuning (MoReRT) approach. This tool is suitable for those who need to design the PID controller for the simple closed-loop feedback in an effective and user-friendly way. The tool has been implemented in MATLAB®/SIMULINK®. and has been designed on the basis of a simple but effective menu/dialog interaction system. That users may benefit from the simple utilization without the need of complex software optimization requirements. The features of this tool determine its usability especially for educational purposes. The software includes system analysis and robustness features, design of 2DoF PI and PID controllers, closed loop simulations and evaluation of control quality. As a tool for education, it also provides appropriate theoretical background to specific control design tasks, therefore the user is able to understand all performed tasks without an exhaustive effort.

Software tool for MoReRT design of 2DoF PI/PID controllers

Visioli, A.
2017-01-01

Abstract

The goal of this paper is to present a software tool intended to aid at the design of 2DoF PI/PID controllers by using the Model REference Robust Tuning (MoReRT) approach. This tool is suitable for those who need to design the PID controller for the simple closed-loop feedback in an effective and user-friendly way. The tool has been implemented in MATLAB®/SIMULINK®. and has been designed on the basis of a simple but effective menu/dialog interaction system. That users may benefit from the simple utilization without the need of complex software optimization requirements. The features of this tool determine its usability especially for educational purposes. The software includes system analysis and robustness features, design of 2DoF PI and PID controllers, closed loop simulations and evaluation of control quality. As a tool for education, it also provides appropriate theoretical background to specific control design tasks, therefore the user is able to understand all performed tasks without an exhaustive effort.
2017
9781509045334
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/501669
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