K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays
For a class of Multi-machine excitation system with transmission delays, an output feedback adaptive quantized control protocol based on k-filter observer has been proposed. Not all the states in Multi-machine excitation power system need to be measured, a class of k-filter observers is constructed...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9380319/ |
| _version_ | 1818381202236637184 |
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| author | Shunjiang Wang Xiurong Ou Dianyang Li Hongzhe Wang Guoqiang Zhu |
| author_facet | Shunjiang Wang Xiurong Ou Dianyang Li Hongzhe Wang Guoqiang Zhu |
| author_sort | Shunjiang Wang |
| collection | DOAJ |
| description | For a class of Multi-machine excitation system with transmission delays, an output feedback adaptive quantized control protocol based on k-filter observer has been proposed. Not all the states in Multi-machine excitation power system need to be measured, a class of k-filter observers is constructed to estimate the unmeasured state in the system, and to compensate the estimated error of the neural network approximator, the nonlinearity introduced by the quantizer and external disturbances. The traditional assumption of the upper bound of time-delay function is no longer needed. Instead, time-delay function approximator is used to deal with the influence of transmission delay between excitation systems. This kind of time-delay function approximator is composed of neural network. And according to the finite coverage lemma, it can approximate the unknown function with time delay only by entering a limited number of previous states. Moreover, by the initialization technique, arbitrary small <inline-formula> <tex-math notation="LaTeX">$L_\infty $ </tex-math></inline-formula> tracking error is achieved. Finally, the control signal is quantized by the quantizer and then transmitted to the communication cable, so that the Multi-machine excitation system is realized by computer. A group of experimental results show the effectiveness of the proposed control protocol. |
| first_indexed | 2024-12-14T02:30:49Z |
| format | Article |
| id | doaj.art-29ddf0cf93b146628a0bab5b7f6d6780 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T02:30:49Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-29ddf0cf93b146628a0bab5b7f6d67802022-12-21T23:20:15ZengIEEEIEEE Access2169-35362021-01-019513555136710.1109/ACCESS.2021.30667949380319K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission DelaysShunjiang Wang0Xiurong Ou1https://orcid.org/0000-0001-7074-1531Dianyang Li2Hongzhe Wang3Guoqiang Zhu4https://orcid.org/0000-0002-6565-2347State Grid Liaoning Electric Power Company Ltd., Shenyang, ChinaSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaState Grid Liaoning Electric Power Company Ltd., Shenyang, ChinaState Grid Liaoning Electric Power Company Ltd., Shenyang, ChinaSchool of Automation Engineering, Northeast Electric Power University, Jilin, ChinaFor a class of Multi-machine excitation system with transmission delays, an output feedback adaptive quantized control protocol based on k-filter observer has been proposed. Not all the states in Multi-machine excitation power system need to be measured, a class of k-filter observers is constructed to estimate the unmeasured state in the system, and to compensate the estimated error of the neural network approximator, the nonlinearity introduced by the quantizer and external disturbances. The traditional assumption of the upper bound of time-delay function is no longer needed. Instead, time-delay function approximator is used to deal with the influence of transmission delay between excitation systems. This kind of time-delay function approximator is composed of neural network. And according to the finite coverage lemma, it can approximate the unknown function with time delay only by entering a limited number of previous states. Moreover, by the initialization technique, arbitrary small <inline-formula> <tex-math notation="LaTeX">$L_\infty $ </tex-math></inline-formula> tracking error is achieved. Finally, the control signal is quantized by the quantizer and then transmitted to the communication cable, so that the Multi-machine excitation system is realized by computer. A group of experimental results show the effectiveness of the proposed control protocol.https://ieeexplore.ieee.org/document/9380319/Excitation systemdynamic surface controlK-filter observerhysteresis quantizerneural networks |
| spellingShingle | Shunjiang Wang Xiurong Ou Dianyang Li Hongzhe Wang Guoqiang Zhu K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays IEEE Access Excitation system dynamic surface control K-filter observer hysteresis quantizer neural networks |
| title | K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays |
| title_full | K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays |
| title_fullStr | K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays |
| title_full_unstemmed | K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays |
| title_short | K-Filter Observer Based Adaptive Quantized Decentralized Excitation Control for Multi-Machine Power Systems With the Line Transmission Delays |
| title_sort | k filter observer based adaptive quantized decentralized excitation control for multi machine power systems with the line transmission delays |
| topic | Excitation system dynamic surface control K-filter observer hysteresis quantizer neural networks |
| url | https://ieeexplore.ieee.org/document/9380319/ |
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