NDLI: Application of an adaptive model predictive control algorithm on the Pelton turbine governor control

Content Provider	IET Digital Library
Author	Beus, Mateo Pandžić, Hrvoje
Abstract	Traditionally, hydro turbine governor applications mainly rely on classical proportional–integral–derivative controllers. A classical controller can perform optimally only at the operating point chosen during the controller design. Since hydro power plants are highly non-linear systems alternative control approaches based on adaptive parameters are needed. Historically, due to the limited computation capabilities of microprocessors and programmable logic controllers (PLCs) used in hydro turbine governors, adaptive control schemes were not frequently applied. However, the latest generation of microprocessors and PLCs facilitate the application of adaptive control scheme based on predictive control algorithm for plants with faster dynamic behaviour. In that regard, this study introduces an adaptive controller based on model predictive control (MPC) algorithm developed and applied to a non-linear simulation model of a laboratory hydro power plant. The applied MPC algorithm is based on a linear prediction model whose parameters are identified offline for different operating points across the plant's operating range. The adaptive control scheme updates the prediction model parameters depending on the current operating point. Furthermore, the predictive control algorithm applied in this study is set up as a quadratic programming (QP) optimisation problem that is solved online using a QP solver in a form of Hildreth's algorithm.
Starting Page	1720
Ending Page	1727
Page Count	8
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 10, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.1291
Journal	IET Renewable Power Generation
Publisher Date	2020-04-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Control Scheme Updates Adaptive Model Predictive Control Algorithm Adaptive Parameter Classical Proportional-integral-derivative Controller Control of Electric Power System Control of Hydraulic System Control System Analysis Control System Synthesis Controller Design Fixed Parameter Scheme Fuzzy Control Hildreth's Algorithm Hydraulic Turbines Hydroelectric Power Stations And Plant Hydropower Plant Hydroturbine Governor Application Hydroturbine Governors Laboratory Hydropower Plant Linear Plant Model Linear Prediction Model Whose Parameter Linear System MPC Algorithm Nonlinear Control System Nonlinear Simulation Model Nonlinear System Alternative Control Approach Optimal Control Optimisation Technique Pelton Turbine Governor Control Power Generation Control Prediction Model Parameter Predictive Control Programmable Logic Controller QP Optimisation QP Solver Quadratic Programming Quadratic Programming Optimisation Robust Control Self Adjusting Control System Stability in Control Theory Synthesis Method Three-term Control
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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