JOURNAL OF CHEMICAL ENGINEERING OF JAPAN | |
Structured PENN Controller for MIMO Process | |
Masaru Ishida1  Takehiro Ohba1  | |
[1] Research Laboratory of Resources Utilization, Tokyo Institute of Technology | |
关键词: Process Control; Neural Network; MIMO Process; | |
DOI : 10.1252/jcej.31.545 | |
来源: Maruzen Company Ltd | |
【 摘 要 】
References(5)This paper presents a neural net controller for a multi-input, multi-output (MIMO) process. The controller is based on the PENN (Policy- and Experience-driven Neural Network) method. The PENN uses two types of knowledge for learning: local experiences obtained from the control results; and global policies based on rule-based control strategy. The structured PENN that is proposed for a MIMO process in this study has a structure in which small controllers for SISO processes are assembled. By use of such a structured assembly, both learning and control for a MIMO process can be accomplished. To prevent the effect of noises observed in the controlled variables, a noise reduction mechanism modifying the error function in the learning algorithm is proposed. The simulation results for a crystal growth process indicate that the proposed controller has the ability to learn the interactions between control variables and to get satisfactory control results.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912080694434ZK.pdf | 19KB | download |