Automatic Tuning and Adaptation for Pid Controllers - A Survey

Åström, Karl Johan; Hägglund, Tore; Hang, C.C.; Ho, Weng Khuen

doi:10.1016/b978-0-08-041717-2.50065-3

Cited by 86 publications

(125 citation statements)

References 5 publications

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“…All Foxboro's controllers studied here are rule-based, instead of model-based but do not support feedforward control. If they support gain scheduling, however, they will be very effective for the entire operating envelope, as gain-scheduling can be more useful than continuous adaptation in most situations [3].…”

Section: Foxboro Seriesmentioning

confidence: 99%

“…As most modern PID controllers are implemented in digital processors, they can accommodate more mathematical functions and modifications to the standard three terms shown in (1) to (3). A simple and most widely adopted anti-windup scheme can be realized in software or firmware by modifying the integral action to (7) where represents the saturated control action and is a correcting factor.…”

Section: Integrator Windup and Remediesmentioning

confidence: 99%

“…A range of these are available from the four dominant vendors, namely, ABB, Foxboro, Honeywell and Yokogawa, as listed in Table V [3], [4], [9], [19], [20], [25], and [31] for more information on commercial PID controllers.…”

Section: A Hardware and Auto-tuningmentioning

confidence: 99%

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PID control system analysis, design, and technology

Ang¹,

Chong

2005

IEEE Trans. Contr. Syst. Technol.

2,055

235

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Abstract-Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This stimulates the development of "intelligent" tools that can assist engineers to achieve the best overall PID control for the entire operating envelope. This development has further led to the incorporation of some advanced tuning algorithms into PID hardware modules. Corresponding to these developments, this paper presents a modern overview of functionalities and tuning methods in patents, software packages and commercial hardware modules. It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging. The inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree. This should also assist future development of "plug-and-play" PID controllers that are widely applicable and can be set up easily and operate optimally for enhanced productivity, improved quality and reduced maintenance requirements.

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Section: Foxboro Seriesmentioning

confidence: 99%

Section: Integrator Windup and Remediesmentioning

confidence: 99%

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PID control system analysis, design, and technology

Ang¹,

Chong

2005

IEEE Trans. Contr. Syst. Technol.

2,055

235

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“…Then, an estimation θ m of the apparent dead time of the system can be performed by considering the time interval from the application of the step signal to the set-point and the time instant when the process output attains 2% of the new set-point value A s , namely, when the condition y > 0.02A s occurs. In this context, in order to cope with the measurement noise, a simple sensible solution is to define a noise band NB [19] (whose amplitude should be equal to the amplitude of the measurement noise) and to rewrite the condition as y > NB . Then, Expression (13) can be rewritten as:…”

Section: Set-point Following Performance Assessmentmentioning

confidence: 99%

Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Veronesi¹,

Visioli

2015

Processes

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Abstract:Performance assessment and retuning techniques for proportional-integral-derivative (PID) controllers are reviewed in this paper. In particular, we focus on techniques that consider deterministic performance and that use routine operating data (that is, set-point and load disturbance step signals). Simulation and experimental results show that the use of integrals of predefined signals can be effectively employed for the estimation of the process parameters and, therefore, for the comparison of the current controller with a selected benchmark.

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“…The integral gain was then selected to satisfy any steady state error requirements. The transient response was finally restored by selecting a suitable derivative gain 16,17 .…”

Section: Arduino Microcontroller Servo Motormentioning

confidence: 99%

Design of an Autonomous Pace Car for Athletic Training: A Multidisciplinary Undergraduate Research Experience

Fevre

Estrada

2015 ASEE Annual Conference and Exposition Proceedings

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Automatic Tuning and Adaptation for Pid Controllers - A Survey

Cited by 86 publications

References 5 publications

PID control system analysis, design, and technology

PID control system analysis, design, and technology

Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Design of an Autonomous Pace Car for Athletic Training: A Multidisciplinary Undergraduate Research Experience

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