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IET Control Theory & Applications
Article . 2024 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.60692/99...
Other literature type . 2024
Data sources: Datacite
https://dx.doi.org/10.60692/f6...
Other literature type . 2024
Data sources: Datacite
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Zero/low overshoot conditions based on maximally‐flatness for PID‐type controller design for uncertain systems with time‐delay or zeros

ظروف التجاوز الصفري/المنخفض على أساس التسطيح الأقصى لتصميم وحدة التحكم من نوع PID للأنظمة غير المؤكدة مع التأخير الزمني أو الأصفار
Authors: Mehmet Canevi; Mehmet Turan Söylemez;

Zero/low overshoot conditions based on maximally‐flatness for PID‐type controller design for uncertain systems with time‐delay or zeros

Abstract

Abstract This paper extends the characteristic ratio approach using novel inequalities to ensure zero/low overshoot for linear‐time‐invariant systems with zeros. The extension provided by this paper is based on the maximally‐flatness property of a transfer function, where the square‐magnitude of the transfer function is ensured to be a low‐pass filter. In order to be able to design low‐order/fixed structure controllers, a partial pole‐assignment approach is used instead of the full pole‐assignment used in the Characteristic Ratio Assignment (CRA) method. The developed inequalities and additional stability conditions are combined into an optimization problem using time domain restrictions when necessary. Although the method given in the paper is general, particular inequalities are developed for PI and PI‐PD controller cases, due to their frequent use in industrial applications. Similarly, First‐Order‐Plus‐Delay‐Time (FOPDT) and Second‐Order‐Plus‐Delay‐Time (SOPDT) systems are considered specifically, since most of the practical systems can be approximated by one of these types. The study is extended to plants with uncertainties where a theorem is developed to decrease computation time dramatically. The benefits of the proposed methods are demonstrated by several examples.

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Keywords

Artificial intelligence, polynomials, optimisation, FOS: Mechanical engineering, feedback, Hydraulic Systems Control and Optimization, 510, Engineering, continuous time systems, Temperature control, Ecology, Control engineering, Physics, FOS: Philosophy, ethics and religion, Cosmology, PI control, TJ212-225, Physical Sciences, Telecommunications, Type (biology), automatic control, Control (management), Quantum mechanics, Control theory (sociology), FOS: Mathematics, feedback control systems, delay systems, Biology, Analysis and Design of Fractional Order Control Systems, damping, Control engineering systems. Automatic machinery (General), Mechanical Engineering, Zero (linguistics), Controller (irrigation), Extremum Seeking Control in Dynamic Systems, Linguistics, Computer science, Agronomy, 620, Philosophy, uncertain systems, Control and Systems Engineering, FOS: Biological sciences, Flatness (cosmology), FOS: Languages and literature, PID controller, Overshoot (microwave communication), Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold