Self-tuning linear quadratic supervisory regulation of a diesel generator using large-signal state estimation

2016 ◽  
Author(s):  
Jesper Knudsen ◽  
Jan Bendtsen ◽  
Palle Andersen ◽  
Kjeld Madsen
Keyword(s):  
State Estimation ◽  
Diesel Generator ◽  
Large Signal ◽  
Linear Quadratic ◽  
Self Tuning

The Modeling and Control of the Hydraulic Servo System by Using On-Off Valve

2000 ◽  
Author(s):  
Xuanyin Wang
Keyword(s):  
Servo System ◽  
Mathematic Model ◽  
Hydraulic Cylinder ◽  
Servo Control ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Hydraulic Servo ◽  
Self Tuning ◽  
Hydraulic Servo System ◽  
And Control

Abstract This paper researches on the hydraulic servo system by using ordinary on-off valves. The mathematic model of an asymmetric hydraulic cylinder servo control system is built, and its characteristic is analysed here. To reduce the static and dynamic characteristic differences between forward and reverse motion of asymmetric cylinder, and improve system’s performance, a self-tuning linear quadratic gaussian optimum controller (SLQG) is designed successful. In the end, an asymmetric hydraulic cylinder servo system of paint robot is researched. The result shows that the above method is effective.

Self-tuning Kalman filter for compensation of transmission delay and loss in line-of-sight guidance

2018 ◽  
Vol 233 (11) ◽  
pp. 4191-4201
Author(s):  
Akram Nikfetrat ◽  
Reza Mahboobi Esfanjani
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Random Variables ◽  
Measurement Model ◽  
Line Of Sight ◽  
Uncertain Parameters ◽  
Suggested Approach ◽  
Self Tuning ◽  
Simulation Results ◽  
Sequence Simulation

A self-tuning Kalman filter is introduced to reduce the destructive effects of the delayed and lost measurements in the guidance systems employing command to line-of-sight strategy. A sequence of Bernoulli distributed random variables with uncertain probabilities are used to model the delayed and lost observations. Besides the state estimation, the uncertain parameters of the measurement model are identified online using the covariance of innovation sequence. Simulation results are given to demonstrate the merits of the suggested approach.

Robust Controller for Gas Turbines Based Upon LQG/LTR Design With Self-Tuning Features

1993 ◽  
Vol 115 (3) ◽  
pp. 569-571 ◽  
Author(s):  
Q. Song ◽  
J. Wilkie ◽  
M. J. Grimble
Keyword(s):  
Feasibility Study ◽  
Discrete Time ◽  
Gas Turbines ◽  
Design Approach ◽  
Linear Quadratic ◽  
Robust Controller ◽  
Linear Quadratic Gaussian ◽  
Loop Transfer Recovery ◽  
Self Tuning

A feasibility study is described for the design of a self-tuning controller for gas turbines with the multivariable discrete-time robust controller designed using a Linear Quadratic Gaussian/ Loop Transfer Recovery (LQG/LTR) design approach.

Linear quadratic distributed self-tuning control of vibration in a cantilever beam

1995 ◽  
Author(s):  
Murali Gopinathan ◽  
Grazyna A. Pajunen ◽  
P. S. Neelakanta ◽  
Madasamy Arockiasamy
Keyword(s):  
Cantilever Beam ◽  
Linear Quadratic ◽  
Self Tuning
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