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- W4206158648 abstract "With the development of network technology and automation control technology, the analysis and design of network automation control system has become one of the research hotspots in the field of control theory and application, and it will also become an inevitable trend in the development of industrial control technology. Due to the introduction of communication networks, the time delay of signal transmission in the control system has become one of the main factors that affect the control effect. It will reduce the performance of the system and even cause system instability. Traditional control methods cannot effectively solve this problem. Artificial intelligence the method provides new ideas. The purpose of this paper is to study the automation control system based on artificial intelligence technology. Aiming at the random and time-varying characteristics of network automation control latency, this paper examines two artificial intelligence control algorithms, namely the Smith controller with fuzzy PID and generalized prediction control based on dynamic network error correction in BP automation and implementation network. In the control system, reduce the effect of time delay on the control system performance. Aiming at the problem of time delay compensation and PID controller parameter tuning in network control systems, this paper proposes a type of PID network control method based on fast BP network. Experimental research shows that the control system designed by the GPC dynamic network correction algorithm used in this document has a faster response time and less overrun, and the test result is about 20% better than the traditional GPC algorithm." @default.
- W4206158648 created "2022-01-26" @default.
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- W4206158648 date "2022-01-01" @default.
- W4206158648 modified "2023-09-27" @default.
- W4206158648 title "Automation Control System Based on Artificial Intelligence Technology" @default.
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- W4206158648 doi "https://doi.org/10.1007/978-981-16-4258-6_96" @default.
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