2009Unpublished venueRequires access

Observations on PID control for unknown systems

Pasi Airikka

Open publisher page 3 citations

Abstract

PID control (Proportional-Integral-Derivative) has been widely researched and studied topic of automatic control for decades. While other, more sophisticated control methods have been introduced, PID control has still remained as a bread and butter control method for most control applications. This paper presents some fundamental, elegant and general observations on SISO (Single-Input-Single-Output) PID control without knowledge on the process model, or in some cases, with using only the minimum knowledge of the process model.

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What this paper is about

PID control (Proportional-Integral-Derivative) has been widely researched and studied topic of automatic control for decades. While other, more sophisticated control methods have been introduced, PID control has still remained as a bread and butter control method for most control applications. This paper presents some fundamental, elegant and general observations on SISO (Single-Input-Single-Output) PID control without knowledge on the process model, or in some cases, with using only the minimum knowledge of the process model.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

PID control (Proportional-Integral-Derivative) has been widely researched and studied topic of automatic control for decades. While other, more sophisticated control methods have been introduced, PID control has still remained as a bread and butter control method for most control applications. This paper presents some fundamental, elegant and general observations on SISO (Single-Input-Single-Output) PID control without knowledge on the process model, or in some cases, with using only the minimum knowledge of the process model.

Key concepts: PID controller, Control theory (sociology), Control (management), Process control, Process (computing), Control system, Computer science, Control engineering

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