Flow control in a small Francis turbine by system identification and fuzzy adaptation of PID and deadband controllers.
In: Renewable Energy: An International Journal, Jg. 201 (2022-12-15), S. 87-99
Online
academicJournal
Zugriff:
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%. • Low cost proportional valve controlled electrohydraulic actuated Lab. scale Francis turbine flow control system developed. • Model identification has been carried out through real coded genetic algorithm. • Fuzzy tuned PI controller has been developed for experimental study of Francis turbine system control. • Experimentation has been performed with very large disturbance of power demand. [ABSTRACT FROM AUTHOR]
Titel: |
Flow control in a small Francis turbine by system identification and fuzzy adaptation of PID and deadband controllers.
|
---|---|
Autor/in / Beteiligte Person: | Vinod, J. ; Sarkar, Bikash K. ; Sanyal, Dipankar |
Link: | |
Zeitschrift: | Renewable Energy: An International Journal, Jg. 201 (2022-12-15), S. 87-99 |
Veröffentlichung: | 2022 |
Medientyp: | academicJournal |
ISSN: | 0960-1481 (print) |
DOI: | 10.1016/j.renene.2022.11.039 |
Schlagwort: |
|
Sonstiges: |
|