LQG / LTR controller for speed governing of hydro-turbine

Kishor, Nand; Saini, R.P.; Singh, S. P.

doi:10.1109/melcon.2004.1348260

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…This differs from previous studies made, for example, by Kishor et al (2004) where LQG/LTR control was implemented in a straight forward feedback control setting. This differs from previous studies made, for example, by Kishor et al (2004) where LQG/LTR control was implemented in a straight forward feedback control setting.…”

Section: Multiple Controller Designcontrasting

confidence: 63%

“…In this approach, the controller design is carried out in a two step procedure. In their work, it was shown that the LQG/LTR controller performance was on par with LQR control, with the advantage of not having to measure all states (Kishor et al, 2004). In the second step, a Kalman Filter is designed to provide robustness against modelling uncertainties and noise.…”

Section: Lqg/ltrmentioning

confidence: 99%

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Multiple model adaptive control of a hydro turbine plant - performance of H<SUB align="right">∞, LQG and PI controllers

2013

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Hydro turbines have complex non-linear dynamics, especially in the presence of large or abrupt load disturbances. In this work, the implementation of a weighted multiple model adaptive control (WMMAC) scheme on a hydro turbine plant was studied. To ensure stability, the system was designed in accordance with the virtual equivalence system and adaptive mixing control criteria. Four candidate linear estimator models were chosen representing 25%, 50%, 75% and 100% load conditions. For each candidate estimator model, a compensator was designed to meet performance requirements under the corresponding candidate load conditions. The performance of three different control structures; the H ∞ , LQG/LTR and PI controllers, used in the WMMAC scheme, were simulated under abruptly changing and smoothly varying load conditions. To account for the transients before reaching synchronous speed, in the first 50 seconds, a no-load compensator was used. From the results, the PI controller produced the best performance.

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Section: Multiple Controller Designcontrasting

confidence: 63%

Section: Lqg/ltrmentioning

confidence: 99%