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A new software tool for synthesis of linear PID controllers
Affiliation:1. Farab Company, No. 1 Houri Alley, Lavasani Street, Shemiran, Tehran 19357, Iran;2. Mechanical Engineering Department, Khaje Nassir-Al-Deen Toosi University of Technology, Tehran, Iran;3. Mechanical Engineering Department, Clemson University, Clemson, SC, USA;1. Beijing Key Laboratory of Environmental Science and Engineering, School of Material Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China;2. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China;1. School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA 30332, USA;2. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst drive Atlanta, GA 30332, USA;3. School of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive, Atlanta, GA 30332, USA;4. Department of Material Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94035, USA;1. School of Energy, Power and Mechanical Engineering, North China Electric Power University, Changping District, Beijing 102206, China;2. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. Shanghai Marine Equipment Research Institute, China;1. Department of Crop and Environment Sciences, Harper Adams University, Newport, Shropshire, TF10 8NB, United Kingdom;2. Department of Environment and Planning, Centre for Environmental and Marine Studies (CESAM), University of Aveiro, Aveiro 3810-193, Portugal
Abstract:A new versatile software utility for synthesis of linear PID controllers is described, and the software listing is presented. The software is in the MATLAB environment. Closed-form PID controller gain design equations are developed. The design approach is systematic, and it is based on frequency matching technique with a model matching criteria. The objective is to design a closed-loop feedback system with a PID controller whose dynamic and static behavior would mimic a user-defined reference linear model. The design procedure is automated via a new MATLAB command. The software also has applications in synthesis of nonlinear PID controllers. Because the design equations are of a closed form, the speed of calculations is high; therefore, design software may be used in designing self-tuning adaptive PID controllers.
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