Linear State Space Interconnect Modeling of Acoustic Systems

2016 ◽  
Vol 102 (5) ◽  
pp. 824-833 ◽  
Author(s):  
Thomas Emmert ◽  
Max Meindl ◽  
Stefan Jaensch ◽  
Wolfgang Polifke
Keyword(s):  
State Space ◽  
Interconnect Modeling ◽  
Linear State

Observability Analysis for a Single-Phase Inverter Using Linear State-Space Equations

2021 ◽  
Author(s):  
Jeanpierre D. Valentin Acevedo ◽  
Eduardo I. Ortiz-Rivera ◽  
Rachid Darbali-Zamora
Keyword(s):  
State Space ◽  
Single Phase ◽  
Phase Inverter ◽  
Observability Analysis ◽  
Single Phase Inverter ◽  
Linear State

Stewart Platform Model with Uncertain Parameters

2010 ◽  
Vol 164 ◽  
pp. 177-182 ◽  
Author(s):  
Lukas Březina ◽  
Tomáš Březina
Keyword(s):  
State Space ◽  
Controller Design ◽  
State Space Model ◽  
Stewart Platform ◽  
Dynamics Model ◽  
H Infinity ◽  
Uncertain Dynamics ◽  
Six Dof ◽  
Linear State ◽  
Nominal Position

The paper deals with development of uncertain dynamics model of a six DOF parallel mechanism (Stewart platform) suitable for H-infinity controller design. The model is based on linear state space models of the machine obtained by linearization of the SimMechanics model. The linearization is performed for two positions of the machine in its workspace. It is the nominal position and the position where each link of the machine reaches its maximal length. The uncertainties are then represented as differences between parameters of corresponding state-space matrices. The uncertain state space model is then obtained using upper linear fractional transformation. There are also mentioned several notes regarding H-infinity controller designed according to the obtained model.

Optimal State-Space Control of a Gas Turbine Engine

1992 ◽  
Vol 114 (4) ◽  
pp. 763-767 ◽  
Author(s):  
J. W. Watts ◽  
T. E. Dwan ◽  
C. G. Brockus
Keyword(s):  
State Space ◽  
Gas Turbine ◽  
State Space Model ◽  
Gas Turbine Engine ◽  
The State ◽  
Operating Conditions ◽  
Turbine Engine ◽  
Analog Control ◽  
Linear State ◽  
High Level

An analog fuel control for a gas turbine engine was compared with several state-space derived fuel controls. A single-spool, simple cycle gas turbine engine was modeled using ACSL (high level simulation language based on FORTRAN). The model included an analog fuel control representative of existing commercial fuel controls. The ACSL model was stripped of nonessential states to produce an eight-state linear state-space model of the engine. The A, B, and C matrices, derived from rated operating conditions, were used to obtain feedback control gains by the following methods: (1) state feedback; (2) LQR theory; (3) Bellman method; and (4) polygonal search. An off-load transient followed by an on-load transient was run for each of these fuel controls. The transient curves obtained were used to compare the state-space fuel controls with the analog fuel control. The state-space fuel controls did better than the analog control.

Linear State-Space models

2018 ◽  
pp. 5-18
Author(s):  
Jose Casals ◽  
Alfredo Garcia-Hiernaux ◽  
Miguel Jerez ◽  
Sonia Sotoca ◽  
A. Alexandre Trindade
Keyword(s):  
State Space ◽  
State Space Models ◽  
Linear State
Sign in / Sign up

Export Citation Format

Share Document