An application of state-space linearization to a power system stabilizer

Takagi, Yasuo; Shigemasa, Takashi

doi:10.1109/cdc.1990.203874

Cited by 9 publications

(9 citation statements)

References 8 publications

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“…We have studied an augmented automatic choosing control of a formal linearization filter type for nonlinear systems x [1] [pu] x [2] [rad] x [3] [rad/s] with noisy measurement. The design parameters included in both controller and filter are appropriately determined using ABC algorithm.…”

Section: Discussionmentioning

confidence: 99%

“…Then this system is described by (1) and (2) Set = [ ,ˆ [ 4] ] = [ [1] , [2] , [3] ,ˆ [ 4] ] , ( )= [2] , = [0, 0, 1], = 1, = 1, = 2,ˆ0 = 0, = 1, = (1, 1, 1, 1), = (1, 1), (0) = [0, [2] (0), [3] Experiments are carried out for the new control and the ordinary linear optimal control (LOC) [1], [2]. Figure 4 depicts the stable regions for AACCFLF and LOC.…”

Section: Fig 4 Stable Regionsmentioning

confidence: 99%

“…Here AACCFLF(2nd) and (1st) mean in cases of = 2 and = 1 of (12), respectively. Figure 5 makes a comparison between AACCFLF(2nd) and LOC for the time responses of [1] , [2] and [3] when (0) = [0, 1, 0, 1] . Experimental results indicate that the stable region and trajectories by the new AACCFLF are much better than those by the LOC.…”

Section: Fig 4 Stable Regionsmentioning

confidence: 99%

“…This control law is easy to implant in many practical nonlinear systems, but is only useful in small region or in almost linear ones. Controllers based on a change of coordinates in differential geometry [3] are effective in wider region, but not easy to implant in practical systems. Controllers based on Fuzzy reasoning [4] are more practical, but usually need a lot of divisions.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An augmented automatic choosing control of formal linearization filter type by ABC algorithm and its application to electric power systems

Hachino

Miyajima

Takata

et al. 2014

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Ad

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This paper is concerned with a single nonlinear feedback control for nonlinear systems with noisy measurement. A given nonlinear system is linearized piecewise so as to be able to design the linear optimal controllers, whose states are estimated by a formal linearization filter. By the automatic choosing function, these controllers are smoothly united into a single nonlinear feedback controller, which is called an augmented automatic choosing control of a formal linearization filter type. Since the formula of the proposed control is of a structurespecified type, the design parameters included in the controller and filter are appropriately determined using artificial bee colony algorithm. Simulation results show that the new controller enables to improve the stability of electric power systems well.

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Section: Discussionmentioning

confidence: 99%

Section: Fig 4 Stable Regionsmentioning

confidence: 99%

Section: Fig 4 Stable Regionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An augmented automatic choosing control of formal linearization filter type by ABC algorithm and its application to electric power systems

Hachino

Miyajima

Takata

et al. 2014

2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Ad

View full text Add to dashboard Cite

show abstract

“…This control law is easy to implement in many practical nonlinear systems, but is only useful in a small region or in almost linear ones. Controllers based on a change of coordinates in differential geometry [3][4][5][6] are effective over a wider region, but they are not easy to implement in practical systems. Controllers based on fuzzy reasoning [7,8] are more practical, but they usually need many divisions which make up a complicated control formula.…”

Section: Introductionmentioning

confidence: 99%

Augmented automatic choosing control of filter type for nonlinear systems and its application to power systems

Takata

Hachino

Motoyama

et al. 2012

IEEJ Transactions Elec Engng

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This paper deals with a feedback control using automatic choosing control and nonlinear filter for nonlinear systems with noise measurement. The state estimation of plants is carried out by the nonlinear filter. The control is designed by piecewise linear controls which are smoothly integrated into a single nonlinear feedback control by the automatic choosing functions. This is called an augmented automatic choosing control of filter type (AACCF) for nonlinear noisy measurement systems. This controller is applied to a transient stability problem of power systems, whose simulation results show that the new controller enables the expansion of the stable region well.

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An augmented automatic choosing control of observer type for nonlinear systems with linear measurement and its application to power systems

Takata¹,

Hachino²,

Nawata³

2009

IEEJ Transactions Elec Engng

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This paper deals with a feedback control using automatic choosing functions and the observer-control design procedure for nonlinear systems with linear measurement. A constant term which arises from linearization of a nonlinear equation is treated as a coefficient of a stable zero dynamics. A given nonlinear system is linearized piecewise so as to be able to design the linear optimal controllers with the linear observers. By the automatic choosing functions, these controllers are smoothly united into a single nonlinear feedback controller, which is called an augmented automatic choosing control of observer type. This controller is applied to a transient stability of power systems, whose simulation results show that the new controller enables to expand the stable region well.

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An application of state-space linearization to a power system stabilizer

Cited by 9 publications

References 8 publications

An augmented automatic choosing control of formal linearization filter type by ABC algorithm and its application to electric power systems

An augmented automatic choosing control of formal linearization filter type by ABC algorithm and its application to electric power systems

Augmented automatic choosing control of filter type for nonlinear systems and its application to power systems

An augmented automatic choosing control of observer type for nonlinear systems with linear measurement and its application to power systems

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