New Thermo-Optical Plants for Laboratory Experiments

Huba, T.; Huba, Mikuláš; Bisták, Pavol; Ťapák, Peter

doi:10.3182/20140824-6-za-1003.02760

Cited by 32 publications

(8 citation statements)

References 9 publications

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“…In this section, several experiments will be reported carried out by using the laboratory thermo-optical plant [13]. The light channel consist of the light bulb which acts as a light source, the system input is the bulb voltage, the output is the signal from the light intensity sensor filtered with the first order low pass filter with the time constant set to T 1 = 6 seconds.…”

Section: Real Time Experimental Resultsmentioning

confidence: 99%

Comparing integral disturbance observer based controllers with input and output disturbance compensation

Ťapák

Huba

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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Proportional-integral (PI) controllers represent huge majority of all controllers applied in practice. Despite their broad use, different alternative solutions have been developed based on reconstruction and compensation of input, or output disturbances. Whereas a compensation of output disturbances reconstructed by a parallel plant model represents a key element of the well known internal model control (IMC) used frequently in process control, here it will be applied also in a structure with a reference model and a stabilizing controller. A reconstruction and compensation of input (load) disturbances is frequently applied in the motion control area. This paper deals with a comparison of these two basic approaches combined with a stabilizing P controller with an IMC and demonstrates their pros and cons by controlling simple thermo-optical plant.

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Section: Real Time Experimental Resultsmentioning

confidence: 99%

Comparing integral disturbance observer based controllers with input and output disturbance compensation

Ťapák

Huba

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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“…Nevertheless, the system is capable of running even non-optimized experiments, albeit not as effectively. An integration of a thermo-opto-mechanical plant [20] to the system is described in [18].…”

Section: Discussionmentioning

confidence: 99%

Development of Control Experiments for an Online Laboratory System

Rábek

Žáková

2020

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Remote experiments have been gaining a lot of popularity over the last years. They are available for many areas including control education. The majority of laboratories available via the Internet were developed from scratch and lack modularity, which enables their easier adaptation. Crucially, the diversity of experiments that can be performed on a single device is quite limited. Along with the prospect of simple integration of new devices and simulation environments, this approach presents a way to more effectively utilize the available resources. The presented online laboratory system offers a possibility of an easy integration of new control experiments to the online environment. It allows users to define selected variables inside their block diagrams, upload them to the system and later initialize them within the system’s graphical user interface. The system was tested on a new developed air levitation plant that can be controlled via Matlab simulation environment.

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“…The essence of thermal process control is to vary the amount of heat released by the actuator (bulb) so that the temperature measured at the desired point (by a sensor pt1000) reaches in the shortest time possible the setpoint reference value. Among the different possible ways of heat transfer participating in heating the temperature sensor (such as advection, conduction convection, radiation, boiling, condensation, or melting), occur in the case of the thermo-opticalmechanical laboratory system TOM1A [65] mainly the fastest heat transfer by radiation and conduction. So, although a physically more accurate modeling of the dynamics of the system under consideration would require the use of higherorder models, limiting to the fastest process mode it is usually enough to work with the IPDT model…”

Section: A Simplified Plant Modellingmentioning

confidence: 99%

Reference Model Control of the Time Delayed Double Integrator

2022

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This paper illustrates the reference model-based dead-time compensator (RM-DTC) recently developed for first-order time-delayed systems using a real-time example, and extends this novel approach for a time-delayed double integrator system. RM-DTC enables fully decoupled setpoint tracking and disturbance reconstruction and compensation. The overall structure of RM-DTC includes feedforward control using either a transfer function based implementation or the primary loop which produces a filtered inverse of the model transfer function. The setpoint feedforward is complemented by a disturbanceobserver-based input disturbance reconstruction that also uses the filtered inverse of the plant model. The reference models of setpoint and input disturbance feedforward control allow the introduction of a stabilising PD controller without compromising the nominally independent dynamics of setpoint tracking and disturbance rejection. The main advantage of retaining the full functionality of disturbance reconstruction in RM-DTC is that it enables monitoring and diagnostics of the controlled process, which is important in terms of full automation of running processes representing the fundamental goal of the Industry 4.0 campaign. This surpasses the approaches based on internal model control, which have been modified for unstable systems to achieve internal stability by eliminating the reconstructed disturbance signal from the control loop. The excellent properties of RM -DTCs are illustrated by simulation and real-time control of thermal process.

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New Thermo-Optical Plants for Laboratory Experiments

Cited by 32 publications

References 9 publications

Comparing integral disturbance observer based controllers with input and output disturbance compensation

Comparing integral disturbance observer based controllers with input and output disturbance compensation

Development of Control Experiments for an Online Laboratory System

Reference Model Control of the Time Delayed Double Integrator

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