Flow control in a small Francis turbine by system identification and fuzzy adaptation of PID and deadband controllers

J. Vinod, Bikash K. Sarkar and Dipankar Sanyal

Renewable Energy, 2022, vol. 201, issue P2, 87-99

Abstract: The ever-escalating power-demand together with depletion of fossil-fuel reserve and increasing-thrust on using climate-friendly system drive the transition to higher use of sustainable-green-energy. There is an immense need of harnessing hydraulic power from runaway-streams in hill-areas from small-hydropower-installations. A laboratory-scale system with Francis-turbine has been set-up with low-cost easily-maintainable electrohydraulic-actuation system for controlling the opening of the inlet-guide-vanes. The actuation system has a proportional-valve and cylinder. Deadband-nonlinearities due to the valve-overlap and cylinder-friction in this system along with large-disturbances in both the connected-load and the upstream-water head have been tackled by appropriate system-modelling supplemented by identification of the model-parameters. These parameters have been estimated by carrying-out steady-state-performance test at a rated-speed of the turbine combined with simulation of the model. A real-coded-genetic-algorithm has been used for parameter-updating the aiming minimum deviation between the experimental-variation of the turbine-efficiency against discharge and the evolving simulation-prediction. This model has been utilized for extracting the demand of the guide-vane-actuation-system in the face of head and power-disturbances. A controller with fuzzy-tuned PI-gains and a nonlinear deadband function has been proposed. Experimental-results demonstrate successful-tackling of large-power disturbances by the containment of the maximum-departure of the turbine speed in the open-loop from the rated-value to only 0.156%.

Keywords: Control; Electrohydraulic; Fuzzy; Francis turbine (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:201:y:2022:i:p2:p:87-99

DOI: 10.1016/j.renene.2022.11.039

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