On guided and automatic control configuration selection

Arranz, Miguel Castaño; Birk, Wolfgang; Kadhim, Ali

doi:10.1109/etfa.2017.8247700

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Analyzing the TEC as a control object from the point of view of automatic control theory allows us to consider the TEC and the controller as a SISOsystem [3]. These systems find application for controlling separate objects with one input and one output [4,5], which satisfies the TECoperating current and temperature difference. At the same time, the reliability of this system has not been practically considered, and for thermal system it seems to be important [6].…”

Section: Introductionmentioning

confidence: 99%

Method of reliability control of thermoelectric systems to ensure thermal regimes

Zaykov,

Mescheryakov,

Ustenko

2024

HAIT

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The paper presents the results of research of controllability of the thermoelectric system for ensuring thermal modes of electronic equipment, including a regulator, a cooler, and a component of excess heat removal to the environment. It is shown that for the use of methods of optimization of automatic control systems it is necessary to study the transfer and dynamic characteristics of the object - thermoelectric cooling device with one input and one output. The mathematical model of the thermoelectric cooler of the system of providing thermal modes of a given design is presented, which takes into account the influence of the conditions of interaction of the heat sink with the medium on the main significant parameters, reliability indicators, dynamic and energy characteristics of the single stage cooler. The model is created for the operating range of cooling, level of thermal load, geometry of thermocouple branches, different temperature of the medium, for the characteristic thermal regime of maximum cooling capacity. The results of calculations of the main significant parameters, reliability indicators, dynamic and energy characteristics of the cooler for different medium temperature in the operating temperature range and variation of conditions of heat exchange of the heat sink with the medium are given. It is shown that as the intensity of heat exchange of the heat sink with the medium increases, the temperature difference between the heat sink and the medium decreases. This makes it possible to significantly reduce the relative failure rate, increase the probability of failure-free operation of the thermoelectric cooler and control the reliability indicators of the device of a given design during operation.

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Section: Introductionmentioning

confidence: 99%

Method of reliability control of thermoelectric systems to ensure thermal regimes

Zaykov,

Mescheryakov,

Ustenko

2024

HAIT

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A shared robot control system combining augmented reality and motor imagery brain–computer interfaces with eye tracking

Dillen,

Omidi,

Ghaffari

et al. 2024

J. Neural Eng.

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Objective: Brain-computer interface (BCI) control systems monitor neural activity to detect the user’s intentions, enabling device control through mental imagery. Despite their potential, decoding neural activity in real-world conditions poses significant challenges, making BCIs currently impractical compared to traditional interaction methods. This study introduces a novel motor imagery (MI) BCI control strategy for operating a physically assistive robotic arm, addressing the difficulties of MI decoding from electroencephalogram (EEG) signals, which are inherently non-stationary and vary across individuals.Approach: A proof-of-concept BCI control system was developed using commercially available hardware, integrating MI with eye tracking in an augmented reality (AR) user interface to facilitate a shared control approach. This system proposes actions based on the user’s gaze, enabling selection through imagined movements. A user study was conducted to evaluate the system’s usability, focusing on its effectiveness and efficiency.Main results: Participants performed tasks that simulated everyday activities with the robotic arm, demonstrating the shared control system’s feasibility and practicality in real-world scenarios. Despite low online decoding performance (mean accuracy: 0.52 9, F1: 0.29, Cohen’s Kappa: 0.12), participants achieved a mean success rate of 0.83 in the final phase of the user study when given 15 minutes to complete the evaluation tasks. The success rate dropped below 0.5 when a 5-minute cutoff time was selected.Significance: These results indicate that integrating AR and eye tracking can significantly enhance the usability of BCI systems, despite the complexities of MI-EEG decoding. While efficiency is still low, the effectiveness of our approach was verified. This suggests that BCI systems have the potential to become a viable interaction modality for everyday applicationsin the future.

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Improving District Heating System Operation through Control Configuration Selection and Adaptive Control

Birk

Atta

Uden³

2019

2019 18th European Control Conference (ECC)

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On guided and automatic control configuration selection

Cited by 3 publications

References 28 publications

Method of reliability control of thermoelectric systems to ensure thermal regimes

Method of reliability control of thermoelectric systems to ensure thermal regimes

A shared robot control system combining augmented reality and motor imagery brain–computer interfaces with eye tracking

Improving District Heating System Operation through Control Configuration Selection and Adaptive Control

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