Parameter optimization of nonlinear PID controller using RBF neural network for continuous stirred tank reactor
The temperature system of the Continuous Stirred Tank Reactor (CSTR) has the characteristics of strong nonlinearity and uncertain parameters. The linear PID controller makes it difficult to meet CSTR’s control requirements. Nonlinear PID (NPID) can improve the control effect of nonlinear controlled...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-11-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940231189307 |