Multiple PID mapping using neural networks in a MIMO steam generator system
Multiple PID mapping using neural networks in a MIMO steam generator system
- Author(s): F. Garces ; K. Warwick ; R. Craddock
- DOI: 10.1049/cp:19980280
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- Author(s): F. Garces ; K. Warwick ; R. Craddock Source: UKACC International Conference on Control (CONTROL '98), 1998 p. 503 – 508
- Conference: UKACC International Conference on Control (CONTROL '98)
- DOI: 10.1049/cp:19980280
- ISBN: 0 85296 708 X
- Location: Swansea, UK
- Conference date: 1-4 Sept. 1998
- Format: PDF
A neural network was used to map three PID operating regions for a two-input two-output steam generator system. The network was used in stand alone feedforward operation to control the whole operating range of the process, after being trained from the PID controllers corresponding to each control region. The network inputs are the plant error signals, their integral, their derivative and a 4-error delay train.
Inspec keywords: multilayer perceptrons; temperature control; three-term control; level control; feedforward; multivariable control systems; boilers; neurocontrollers; flow control; linear systems; MIMO systems
Subjects: Thermal variables control; Thermal power stations and plants; Control of heat systems; Neural computing techniques; Neurocontrol; Level, flow and volume control; Multivariable control systems
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