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

O’Dwyer, Aidan

doi:10.1049/cp:20060431

Cited by 45 publications

(28 citation statements)

References 27 publications

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“…For this purpose, a preliminary identification test is needed to be executed on the pilot plant to extract its dynamic model in the context of FOPDT structure. Reaction-curve technique represents the simplest approach to estimate such a model structure using a simple step excitation in open loop system configuration [27]. A large step test might be required to achieve a desired signal to noise ratio (SNR) [28] in industrial environments.…”

Section: Comparison With Other Auto-tuning Methodsmentioning

confidence: 99%

A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers

Fadaei

Salahshoor

2011

Int. J. Control Autom. Syst.

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This paper presents a novel fuzzy auto-tuning methodology to continuously adapt PID control actions without interrupting the normal process operation. New auto-tuning rules are introduced to schedule a gradual and guided activation of each individual P, I and D control mode in three adjustable functional control zones. An auto-scaling procedure has been incorporated to generalize the autotuning scheme to efficiently respond to any set-point change outside a pre-defined operating span. In contrast to existing auto-tuning algorithms, the proposed scheme is not an on-demand auto-tuning methodology and hence does not require alertness of an experienced engineer to initiate and supervise its initial operation in a separate commissioning identification pre-test. This interesting feature provides a new perspective on PID auto-tuning approaches. Performance of the proposed auto-tuning scheme is practically evaluated in a real pilot plant within a networked control system (NCS) configuration, realized by industrial Ethernet and Foundation Fieldbus technologies. An extensive series of test scenarios has been conducted to explore efficiency of the proposed auto-tuning methodology to cope with fixed and varying operating set-points under uncertain and variable network transmission time delays and external disturbance.

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Section: Comparison With Other Auto-tuning Methodsmentioning

confidence: 99%

A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers

Fadaei

Salahshoor

2011

Int. J. Control Autom. Syst.

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“…Finally, Equation (9) shows that the pressure at the output of the MPR, is a function of the net force acting orifice restriction, initiated by the force applied mechanically. The variable 2 in Equation (2), is a function of this regulated pressure that enables the regulator to maintain a regulated pressure.…”

Section: Model Of Actuation Mechanismmentioning

confidence: 99%

“…Estimation of the PID controller gains were achieved using the reaction of the process to a step input signal, a method proposed by Nichols-Zeigler [8], [9], [12], [22]- [24].The gains determined from the process reaction (Fig. 9) are used as a start point to tune an automatic controller of the form shown in Equation (11), for the control of the nozzle emulator model.…”

Section: Automatic Controller Designmentioning

confidence: 99%

Automation of aircraft engine fuel controls tests: an industrial case study involving PID control of a nozzle emulator

Azolibe

McGookin

2015

7th EVI-GTI International Gas Turbine Instrumentation Conference

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The test of fuel control systems used on civil aircraft engines is performed with a network of distributed and, by design, isolated systems. The co-ordination of these test systems is performed manually by human operators in order to verify the airworthiness of a fuel control system throughout the products' lifecycle. The main objective of this study is the automation of an existing network of systems for fuel control tests. The aspect of automation that is considered in this paper is the control of the engine nozzle emulator which is critical to determine the airworthiness of repaired fuel control systems. This system is realized using a model following PID controller design approach. The results from simulation studies and a hardware-in-the-loop test are presented. These demonstrate that this PID control structure provides the necessary level of accuracy and robustness for this engineering process.

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“…For example, the continuous time PID controller is expressed in the Laplace domain as q 2 (s) = K P 1 + 1 Tis + T d s , where K P is the proportional gain, T i and T d are the integral and derivative time constants. Furthermore, many process control problems also contain a time delay τ m (see O'Dwyer, 2006;Morarescu, Mendez-Barrios, Niculescu & Gu, 2011). These include proportional plus delay q 3 (s), integrator plus delay model q 4 (s), first order lag plus delay q 5 (s), first order lag plus integral plus delay q 6 (s) expressed below: If in the expression of q 3 (s) there are two different gains for the two terms, then we obtain the proportional retarded controller: q 7 (s) = K p + K r e −sτm .…”

Section: Introductionmentioning

confidence: 99%

Some insights into the migration of double imaginary roots under small deviation of two parameters

Irofti

Boussaada

et al. 2018

Automatica

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This paper studies the migration of double imaginary roots of the systems' characteristic equation when two parameters are subjected to small deviations. The proposed approach covers a wide range of models. Under the least degeneracy assumptions, we found that the local stability crossing curve has a cusp at the point that corresponds to the double root, and it divides the neighborhood of this point into an S-sector and a G-sector. When the parameters move into the G-sector, one of the roots moves to the right half-plane, and the other moves to the left half-plane. When the parameters move into the S-sector, both roots move either to the left half-plane or the right half-plane depending on the sign of a quantity that depends on the characteristic function and its derivatives up to the third order.

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

Cited by 45 publications

References 27 publications

A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers

A novel real-time fuzzy adaptive auto-tuning scheme for cascade PID controllers

Automation of aircraft engine fuel controls tests: an industrial case study involving PID control of a nozzle emulator

Some insights into the migration of double imaginary roots under small deviation of two parameters

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