Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook
Intelligent Control Systems Using Soft Computing Methodologies
Intelligent Control Systems Using Soft Computing Methodologies
Learning With Labview 7 Express
Learning With Labview 7 Express
ANN-based estimator for distillation using Levenberg-Marquardt approach
Engineering Applications of Artificial Intelligence
Hybrid MATLAB and LabVIEW with neural network to implement a SCADA system of AC servo motor
Advances in Engineering Software
Process control interface system for a distillation plant
Computer Standards & Interfaces
Artificial neural network control of a heat exchanger in a closed flow air circuit
Applied Soft Computing
Modeling and control of a pilot pH plant using genetic algorithm
Engineering Applications of Artificial Intelligence
Intelligent Control Systems with LabVIEW
Intelligent Control Systems with LabVIEW
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This paper describes the design and implementation of an indirect adaptive controller that uses neural networks both for identification and control of an experimental pilot distillation column containing a mixture of ethanol and water. The MATLAB platform is applied both for the neural identification and control of the distillation plant using the Levenberg-Marquardt approach, enabling also optimal input/output net configuration. The neural controller performance has been analyzed and illustrated via experimental tests on the pilot distillation column monitored under the LabVIEW platform. Both platforms have been linked together by constituting an integrated process control interface. The obtained experimental results demonstrate the effectiveness of the neural indirect adaptive control scheme as compared to proportional-integrative-derivative, when real-time multivariable control is demanded, even in presence of disturbances.