Research on load simulator control strategy based on BP neural network and PID method
In the research of load simulator control method, PID control is the most widely used control strategy, but PID controller’s three parameters is difficult to set. This paper proposes a BP neural network feedforward PID controller system which uses BP neural network for setting these parameters, and...
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EDP Sciences
2020-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2020/02/matecconf_icmme2020_03002.pdf |
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doaj-0d1a617350954bc6a7b8d76506a528ac2021-08-05T13:49:20ZengEDP SciencesMATEC Web of Conferences2261-236X2020-01-013060300210.1051/matecconf/202030603002matecconf_icmme2020_03002Research on load simulator control strategy based on BP neural network and PID methodZhou YongZhang YuboYang TianhaoIn the research of load simulator control method, PID control is the most widely used control strategy, but PID controller’s three parameters is difficult to set. This paper proposes a BP neural network feedforward PID controller system which uses BP neural network for setting these parameters, and in order to make the network learning speed up the convergence speed and not fall into local minimum, the adaptive vector method is adopted to improve the algorithm. The simulation and experimental results show that this method is good at avoiding the primeval shock and the sine tracking performance of the system has also been improved.https://www.matec-conferences.org/articles/matecconf/pdf/2020/02/matecconf_icmme2020_03002.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Zhou Yong Zhang Yubo Yang Tianhao |
| spellingShingle |
Zhou Yong Zhang Yubo Yang Tianhao Research on load simulator control strategy based on BP neural network and PID method MATEC Web of Conferences |
| author_facet |
Zhou Yong Zhang Yubo Yang Tianhao |
| author_sort |
Zhou Yong |
| title |
Research on load simulator control strategy based on BP neural network and PID method |
| title_short |
Research on load simulator control strategy based on BP neural network and PID method |
| title_full |
Research on load simulator control strategy based on BP neural network and PID method |
| title_fullStr |
Research on load simulator control strategy based on BP neural network and PID method |
| title_full_unstemmed |
Research on load simulator control strategy based on BP neural network and PID method |
| title_sort |
research on load simulator control strategy based on bp neural network and pid method |
| publisher |
EDP Sciences |
| series |
MATEC Web of Conferences |
| issn |
2261-236X |
| publishDate |
2020-01-01 |
| description |
In the research of load simulator control method, PID control is the most widely used control strategy, but PID controller’s three parameters is difficult to set. This paper proposes a BP neural network feedforward PID controller system which uses BP neural network for setting these parameters, and in order to make the network learning speed up the convergence speed and not fall into local minimum, the adaptive vector method is adopted to improve the algorithm. The simulation and experimental results show that this method is good at avoiding the primeval shock and the sine tracking performance of the system has also been improved. |
| url |
https://www.matec-conferences.org/articles/matecconf/pdf/2020/02/matecconf_icmme2020_03002.pdf |
| work_keys_str_mv |
AT zhouyong researchonloadsimulatorcontrolstrategybasedonbpneuralnetworkandpidmethod AT zhangyubo researchonloadsimulatorcontrolstrategybasedonbpneuralnetworkandpidmethod AT yangtianhao researchonloadsimulatorcontrolstrategybasedonbpneuralnetworkandpidmethod |
| _version_ |
1721220670863441920 |