Design of a PID Controller for a PCR Micro Reactor

Dinca, Mihai; Gheorghe, Marin; Galvin, Paul

doi:10.1109/te.2008.919811

Cited by 22 publications

(16 citation statements)

References 13 publications

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“…In an integral control, the output value of the controller U(s) changes at a rate proportional to the error signal E(s) as shown in (6), where K i is an adjustable constant.…”

Section: Selection Of Control Lawmentioning

confidence: 99%

“…The program and the method presented reduce the time for computing the stability range; this article is excellent for undergraduate control courses [5]. Other works present novel techniques for design and tune; for example, Dinca et al [6] presented a real-world application for polymerase chain reaction microreactor temperature control, using a Matlab for design and simulation of the selected PID control; they proposed the article as a reference or application example. Basilio and Matos [7] proposed new tuning methods for proportional-integral (PI) and PID controllers that need only parameters obtained from the plant step response, the hardware implementation is not presented.…”

Section: Introductionmentioning

confidence: 99%

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FPGA‐Matlab‐based open core for three‐time controllers in automatic control applications

Rangel-Magdaleno

Rivera-Guillen

Romero-Troncoso

et al. 2011

Comp Applic In Engineering

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Automatic control is present in most industrial applications and engineering. The automatic control practice with the physical implementation of the controller is a major issue to be covered in undergraduate/graduate engineering course, and those issues dealing with subjects such as automation, control, electromechanics, mechatronics, manufacturing, and robotics which should be included in their curricula. The contribution of this work is the development of an open core of a three-time controller under FPGA technology applied in a standard control course, allowing students to have a real-time control implementation with technological independence and high level of integration. The combination of both, theory and practice is important. Thus, this course's proposal develops the theoretical bases in practical form. The opportunity to control a servomotor demands students with area proficiency, which is reflected in a project development. ß2011 Wiley Periodicals, Inc. Comput Appl Eng Educ; View this article online at wileyonlinelibrary.com;

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“…In an integral control, the output value of the controller U(s) changes at a rate proportional to the error signal E(s) as shown in (6), where K i is an adjustable constant.…”

Section: Selection Of Control Lawmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

FPGA‐Matlab‐based open core for three‐time controllers in automatic control applications

Rangel-Magdaleno

Rivera-Guillen

Romero-Troncoso

et al. 2011

Comp Applic In Engineering

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show abstract

“…In the field of automatic control, as one of classical control algorithms, proportional-integral-derivative (PID) controllers still have enormous vitality on engineering application for their simple structure, good robustness and high reliability [1]. Generally, the design of PID controllers mainly refers to selections of proportional coefficient K p , integral coefficient K i and differential coefficient K d .…”

Section: Introductionmentioning

confidence: 99%

Autotuning algorithm of particle swarm PID parameter based on D-Tent chaotic model

Zhu

Yang

2013

J. of Syst. Eng. Electron.

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An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative (PID) parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor (PMSM) under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.

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“…10,15,17,[20][21][22][23][24][25][26][27] A personal computer running LabVIEW and GPIB controlled instrumentation has been developed by some research groups to build a home-made PID-controlled temperature cycling system. 10,[20][21][22] The graphical programming language used in LabVIEW is intended for automating and measuring equipment in a laboratory setup and allows even a non-programmer to build programs by simply connecting virtual representations of lab equipment on a screen.…”

Section: Introductionmentioning

confidence: 99%

Instrumentation of a PLC-Regulated Temperature Cycler with a PID Control Unit and Its Use for Miniaturized PCR Systems with Reduced Volumes of Aqueous Sample Droplets Isolated in Oil Phase in a Microwell

et al. 2011

View full text Add to dashboard Cite

Design of a PID Controller for a PCR Micro Reactor

Cited by 22 publications

References 13 publications

FPGA‐Matlab‐based open core for three‐time controllers in automatic control applications

FPGA‐Matlab‐based open core for three‐time controllers in automatic control applications

Autotuning algorithm of particle swarm PID parameter based on D-Tent chaotic model

Instrumentation of a PLC-Regulated Temperature Cycler with a PID Control Unit and Its Use for Miniaturized PCR Systems with Reduced Volumes of Aqueous Sample Droplets Isolated in Oil Phase in a Microwell

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