What is it about?
The main aim is to demonstrate the application of the fuzzy logic (the proposed fuzzy model of con-trolled system) in non-analytical, fully computer-supported design of a continuous line optimal PI controller parameters involving minimal demand for detailed data on the controlled technology.
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Why is it important?
The method of optimal controller design on basis of the CL fuzzy model is suitable for nonlinear sys-tems, systems with transfer lag, complex systems, etc., the analytical model of which would in practice be very difficult to apply, or the concrete parameters of which would be hard to obtain by analysis. The method described enables us to choose vari-ous optimality criteria or their combinations, which can, according to the particular requirements, be related to dynamics, power efficiency, or also opti-mized for the determined operational cycle of the line which is a major advantage from the practical point of view. For example, the selection of a suita-ble energetic optimality criterion can bring about marked energy savings.
Perspectives
The proposed method of designing an optimal PI controller for a nonlinear dynamic system for which only external information is available can be consid-ered as an enhancement to the wide range of fuzzy model based control methods, an enhancement which, owing to its simplicity and control quality, could find wide application also in industrial practice. With this method no principal limitations for the investigated system´s nonlinearities are defined, and therefore there is good reason to assume that the presented method will find wide use in multi-motor drives in steel industry, paper-making, printing and textile industries, in the production of synthetic fibres and foils in the chemical industry and in other industries.
prof. Ing. PhD. Daniela Perdukova
Technical University of Kosice
Read the Original
This page is a summary of: Multi-motor drive optimal control using a fuzzy model based approach, Journal of Ambient Intelligence and Smart Environments, April 2017, IOS Press,
DOI: 10.3233/ais-170433.
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