Design of a multivariable neural-net based PID controller
説明
It is well known that most industrial processes are multivariate in nature, and yet PID controllers are being widely used in a multiloop framework for the control of such interacting systems. In this paper, a design scheme for a neural net-based controller with a PID structure is proposed for the control of such multivariable systems. The proposed controller consists of a pre-compensator designed with a static gain matrix which compensates for the low-frequency interaction, and PID controllers placed diagonally, whose gains are tuned by a neural network.
収録刊行物
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- ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)
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ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378) 3 1051-1056, 2003-01-22
IEEE