Time-lag in a control system

Callender, A.; Hartree, D. R.; Porter, A.

doi:10.1098/rsta.1936.0007

Cited by 88 publications

(23 citation statements)

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“…Historical note: The 70 th anniversary of the receipt of the first technical paper describing tuning rules for setting up controller parameters [2] is presently being marked. The paper was received by the Philosophical …”

Section: Discussionmentioning

confidence: 99%

“…Historically, the first tuning rule (formula) for setting up controller parameters was defined in 1934 for the design of a proportional-derivative (PD) controller for a process exactly modelled by an integrator plus delay (IPD) model [1]. Subsequently, tuning rules were defined for PI and PID controllers, assuming the process was exactly modelled by a first order lag plus delay (FOLPD) model [2] or a pure delay model [2], [3].…”

Section: Introductionmentioning

confidence: 99%

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PI and PID controller tuning rules: an overview and personal perspective

O’Dwyer¹

2006

IET Irish Signals and Systems Conference (ISSC 2006)

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PI and PID controller tuning rules: an overview and personal perspective

O’Dwyer¹

2006

IET Irish Signals and Systems Conference (ISSC 2006)

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“…Historical note: The 70 th anniversary of the receipt of the first technical paper describing tuning rules for setting up controller parameters [4] is presently being marked. …”

Section: Discussionmentioning

confidence: 99%

“…Historically, the first tuning rule for setting up controller parameters was defined in 1934 for the design of a proportional-derivative (PD) controller for a process exactly modelled by an integrator plus delay (IPD) model [3]. Subsequently, tuning rules were defined for PI and PID controllers, assuming the process was exactly modelled by a first order lag plus delay (FOLPD) model [4] or a pure delay model [4], [9].…”

Section: Introductionmentioning

confidence: 99%

Performance improvement using simple PID controller tuning formulae

O’Dwyer¹

2006

3rd IET International Conference on Power Electronics, Machines and Drives (PEMD 2006)

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The proportional integral derivative (PID) controller is the most dominant form of automatic controller in industrial use today. With this technique, it is necessary to adjust the controller parameters according to the nature of the process. Thus, for effective control of a HVDC system, for example, specific values need to be chosen for the P, I and D parameters, which will be different for the values required to control, for example, an induction motor drive. This tailoring of controller to process is known as controller tuning. Controller tuning is easily and effectively performed using tuning rules (i.e. formulae for controller tuning, based on process information). Such tuning rules allow the easy set up of controllers to achieve optimum performance at commissioning. Importantly, they allow ease of recommissioning if the characteristics of the process change. The paper communicates the results of recent work in the collation of industry-relevant PI and PID controller tuning rules, which may be applied to a variety of applications in power electronics, machines and drives.

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“…A PID controller is a popular instrument in the process control industry, first described by Callender et al [5]. It has been estimated that 90% of industrial controllers are PID, with the majority being PI controllers [6][7][8].…”

Section: Pid Controlmentioning

confidence: 99%

Design and Implementation of a Limited Resource PI Auto-tuning Program for First-Order plus Dead Time Systems

Hiemstra

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Time-lag in a control system

Abstract: A. P o r t e r , University of Manchester LONDON P rin te d a n d P u b lish e d fo r th e R o y a l S ociety

Cited by 88 publications

References 0 publications

PI and PID controller tuning rules: an overview and personal perspective

PI and PID controller tuning rules: an overview and personal perspective

Performance improvement using simple PID controller tuning formulae

Design and Implementation of a Limited Resource PI Auto-tuning Program for First-Order plus Dead Time Systems

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