The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
Khalid Tourkey Atta - One of the best experts on this subject based on the ideXlab platform.
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towards autonomous synthesis of building substation control loops
International Conference on Smart Grid Communications, 2016Co-Authors: Wolfgang Birk, Khalid Tourkey AttaAbstract:The main contribution of this paper is to study the feasibility of an automated approach to the assessment and synthesis of control loops in substations of a district heating and cooling system. The low-level controllers in substation are usually PID-type controllers and can not easily be changed. Moreover, the tuning of these controllers is often done in an ad-hoc manner and remains in the initial tuning despite changes in the substation over their operational life. Consequently, insufficient control performance due to false tuning can be misinterpreted as a Hardware Issue and lead to unnecessary replacement of parts.
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SmartGridComm - Towards autonomous synthesis of building substation control loops
2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016Co-Authors: Wolfgang Birk, Khalid Tourkey AttaAbstract:The main contribution of this paper is to study the feasibility of an automated approach to the assessment and synthesis of control loops in substations of a district heating and cooling system. The low-level controllers in substation are usually PID-type controllers and can not easily be changed. Moreover, the tuning of these controllers is often done in an ad-hoc manner and remains in the initial tuning despite changes in the substation over their operational life. Consequently, insufficient control performance due to false tuning can be misinterpreted as a Hardware Issue and lead to unnecessary replacement of parts.
Wolfgang Birk - One of the best experts on this subject based on the ideXlab platform.
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towards autonomous synthesis of building substation control loops
International Conference on Smart Grid Communications, 2016Co-Authors: Wolfgang Birk, Khalid Tourkey AttaAbstract:The main contribution of this paper is to study the feasibility of an automated approach to the assessment and synthesis of control loops in substations of a district heating and cooling system. The low-level controllers in substation are usually PID-type controllers and can not easily be changed. Moreover, the tuning of these controllers is often done in an ad-hoc manner and remains in the initial tuning despite changes in the substation over their operational life. Consequently, insufficient control performance due to false tuning can be misinterpreted as a Hardware Issue and lead to unnecessary replacement of parts.
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SmartGridComm - Towards autonomous synthesis of building substation control loops
2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016Co-Authors: Wolfgang Birk, Khalid Tourkey AttaAbstract:The main contribution of this paper is to study the feasibility of an automated approach to the assessment and synthesis of control loops in substations of a district heating and cooling system. The low-level controllers in substation are usually PID-type controllers and can not easily be changed. Moreover, the tuning of these controllers is often done in an ad-hoc manner and remains in the initial tuning despite changes in the substation over their operational life. Consequently, insufficient control performance due to false tuning can be misinterpreted as a Hardware Issue and lead to unnecessary replacement of parts.
Matt G - One of the best experts on this subject based on the ideXlab platform.
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Why Won’t My Audio Devices Work After a Windows 10 Reset?
2019Co-Authors: Matt GAbstract:A computer reboot can usually reset a nonresponsive computer, but if an audio device fails to work, a software or Hardware Issue may be at fault. If ...
Eskandarian Azim - One of the best experts on this subject based on the ideXlab platform.
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Integrating Inter-vehicular Communication, Vehicle Localization, and a Digital Map for Cooperative Adaptive Cruise Control with Target Detection Loss
2019Co-Authors: Lin Yuan, Eskandarian AzimAbstract:Adaptive Cruise Control (ACC) is an Advanced Driver Assistance System (ADAS) that enables vehicle following with desired inter-vehicular distances. Cooperative Adaptive Cruise Control (CACC) is upgraded ACC that utilizes additional inter-vehicular wireless communication to share vehicle states such as acceleration to enable shorter gap following. Both ACC and CACC rely on range sensors such as radar to obtain the actual inter-vehicular distance for gap-keeping control. The range sensor may lose detection of the target, the preceding vehicle, on curvy roads or steep hills due to limited angle of view. Unfavourable weather conditions, target selection failure, or Hardware Issue may also result in target detection loss. During target detection loss, the vehicle following system usually falls back to Cruise Control (CC) wherein the follower vehicle maintains a constant speed. In this work, we propose an alternative way to obtain the inter-vehicular distance during target detection loss to continue vehicle following. The proposed algorithm integrates inter-vehicular communication, accurate vehicle localization, and a digital map with lane center information to approximate the inter-vehicular distance. In-lab robot following experiments demonstrated that the proposed algorithm provided desirable inter-vehicular distance approximation. Although the algorithm is intended for vehicle following application, it can also be used for other scenarios that demand vehicles' relative distance approximation. The work also showcases our in-lab development effort of robotic emulation of traffic for connected and automated vehicles
Lin Yuan - One of the best experts on this subject based on the ideXlab platform.
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Integrating Inter-vehicular Communication, Vehicle Localization, and a Digital Map for Cooperative Adaptive Cruise Control with Target Detection Loss
2019Co-Authors: Lin Yuan, Eskandarian AzimAbstract:Adaptive Cruise Control (ACC) is an Advanced Driver Assistance System (ADAS) that enables vehicle following with desired inter-vehicular distances. Cooperative Adaptive Cruise Control (CACC) is upgraded ACC that utilizes additional inter-vehicular wireless communication to share vehicle states such as acceleration to enable shorter gap following. Both ACC and CACC rely on range sensors such as radar to obtain the actual inter-vehicular distance for gap-keeping control. The range sensor may lose detection of the target, the preceding vehicle, on curvy roads or steep hills due to limited angle of view. Unfavourable weather conditions, target selection failure, or Hardware Issue may also result in target detection loss. During target detection loss, the vehicle following system usually falls back to Cruise Control (CC) wherein the follower vehicle maintains a constant speed. In this work, we propose an alternative way to obtain the inter-vehicular distance during target detection loss to continue vehicle following. The proposed algorithm integrates inter-vehicular communication, accurate vehicle localization, and a digital map with lane center information to approximate the inter-vehicular distance. In-lab robot following experiments demonstrated that the proposed algorithm provided desirable inter-vehicular distance approximation. Although the algorithm is intended for vehicle following application, it can also be used for other scenarios that demand vehicles' relative distance approximation. The work also showcases our in-lab development effort of robotic emulation of traffic for connected and automated vehicles
