Details
| Original language | English |
|---|---|
| Title of host publication | 2016 UKACC International Conference on Control, UKACC Control 2016 |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (electronic) | 9781467398916 |
| Publication status | Published - 1 Aug 2016 |
Abstract
Keywords
- control system synthesis, linear systems, stochastic systems, stochastic RST controller design, generalized minimum variance controller, RST structure, deterministic digital linear controllers, stochastic digital linear controllers, RST formulation, linear single-input single-output controller, control signal, single-machine infinite bus system, AVR, governor, voltage, power regulation, GMVC, Stochastic processes, Output feedback, Generators, Mathematical model, Voltage control, Voltage measurement
ASJC Scopus subject areas
- Mathematics(all)
- Control and Optimization
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Control and Systems Engineering
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2016 UKACC International Conference on Control, UKACC Control 2016. 2016. p. 1-6 7737552.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - On the design of stochastic RST controllers based on the generalized minimum variance
AU - Trentini, R.
AU - Silveira, A.
AU - Bartsch, M. T.
AU - Kutzner, R.
AU - Hofmann, L.
N1 - Funding information: Rodrigo Trentini acknowledges the financial support of the Brazilian Research Agency (CNPq)
PY - 2016/8/1
Y1 - 2016/8/1
N2 - This paper presents a general framework based on the RST structure for performing fair comparisons between deterministic and stochastic digital linear controllers. Due to the chosen RST formulation, it can be shown that any linear Single-Input Single-Output controller may be designed as a Generalized Minimum Variance Controller, i.e. as a stochastic controller. This in particular reduces the variance of the control signal and in turn leads to a better output characteristic. The method is applied to the controllers of an exemplary Single-Machine Infinite Bus system, namely the AVR and governor, where it is shown that the voltage and power regulation for the non-stochastic and the GMVC are similar whereas the control signal given by the latter is much smother than for the former, even using the same set of gains for both.
AB - This paper presents a general framework based on the RST structure for performing fair comparisons between deterministic and stochastic digital linear controllers. Due to the chosen RST formulation, it can be shown that any linear Single-Input Single-Output controller may be designed as a Generalized Minimum Variance Controller, i.e. as a stochastic controller. This in particular reduces the variance of the control signal and in turn leads to a better output characteristic. The method is applied to the controllers of an exemplary Single-Machine Infinite Bus system, namely the AVR and governor, where it is shown that the voltage and power regulation for the non-stochastic and the GMVC are similar whereas the control signal given by the latter is much smother than for the former, even using the same set of gains for both.
KW - control system synthesis
KW - linear systems
KW - stochastic systems
KW - stochastic RST controller design
KW - generalized minimum variance controller
KW - RST structure
KW - deterministic digital linear controllers
KW - stochastic digital linear controllers
KW - RST formulation
KW - linear single-input single-output controller
KW - control signal
KW - single-machine infinite bus system
KW - AVR
KW - governor
KW - voltage
KW - power regulation
KW - GMVC
KW - Stochastic processes
KW - Output feedback
KW - Generators
KW - Mathematical model
KW - Voltage control
KW - Voltage measurement
UR - http://www.scopus.com/inward/record.url?scp=85004147124&partnerID=8YFLogxK
U2 - 10.1109/control.2016.7737552
DO - 10.1109/control.2016.7737552
M3 - Conference contribution
SP - 1
EP - 6
BT - 2016 UKACC International Conference on Control, UKACC Control 2016
ER -