A multiobjective optimization approach for linear quadratic Gaussian/loop transfer recovery design

2020 ◽  
Vol 41 (4) ◽  
pp. 1267-1287
Author(s):  
Lalitesh Kumar ◽  
Prawendra Kumar ◽  
Sukhwinder Singh Dhillon
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Approach ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Loop Transfer Recovery ◽  
Recovery Design

Linear-quadratic-Gaussian with loop-transfer recovery methodology for an unmanned aircraft

1985 ◽  
Author(s):  
D. RIDGELY ◽  
SIVA BANDA ◽  
TIMOTHY MCQUADE ◽  
P. LYNCH
Keyword(s):  
Unmanned Aircraft ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Loop Transfer Recovery

scholarly journals Modified LQG/LTR Control Methodology in Active Structural Control

2003 ◽  
Vol 22 (2) ◽  
pp. 97-108 ◽  
Author(s):  
Yan Sheng ◽  
Chao Wang ◽  
Ying Pan ◽  
Xinhua Zhang
Keyword(s):  
Structural Control ◽  
Signal To Noise Ratio ◽  
Open Loop ◽  
Control Force ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Control Approach ◽  
Active Structural Control ◽  
Loop Transfer Recovery ◽  
Control Methodology

This paper presents a new active structural control design methodology comparing the conventional linear-quadratic-Gaussian synthesis with a loop-transfer-recovery (LQG/LTR) control approach for structures subjected to ground excitations. It results in an open-loop stable controller. Also the closed-loop stability can be guaranteed. More importantly, the value of the controller's gain required for a given degree of LTR is orders of magnitude less than what is required in the conventional LQG/LTR approach. Additionally, for the same value of gain, the proposed controller achieves a much better degree of recovery than the LQG/LTR-based controller. Once this controller is obtained, the problems of control force saturation are either eliminated or at least dampened, and the controller band-width is reduced and consequently the control signal to noise ratio at the input point of the dynamic system is increased. Finally, numerical examples illustrate the above advantages.

Theoretical modeling and vibration control for pre-twisted composite blade based on LLI controller

2019 ◽  
Vol 42 (7) ◽  
pp. 1255-1270
Author(s):  
Ting-Rui Liu ◽  
Ai-Ling Gong
Keyword(s):  
Vibration Control ◽  
Theoretical Modeling ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Flutter Suppression ◽  
Hamilton Variational Principle ◽  
Composite Blade ◽  
Loop Transfer Recovery ◽  
Blade Section ◽  
Blade Tip

Theoretical modeling and vibration control for divergent motion of thin-walled pre-twisted wind turbine blade have been investigated based on “linear quadratic Gaussian (LQG) controller using loop transfer recovery (LTR) at plant input” (LLI). The blade section is a single-celled composite structure with symmetric layup configuration of circumferentially uniform stiffness (CUS), exhibiting displacements of vertical/lateral bending coupling. Flutter suppression for divergent instability is investigated, with blade driven by nonlinear aerodynamic forces. Theoretical modeling of CUS-based structure is implemented based on Hamilton variational principle of elasticity theory. The discretization of aeroelastic equations is solved by Galerkin method, with blade tip responses demonstrated. The LLI controller is characterized by LTR at the plant input. The effects of LLI controller are achieved and illustrated by displacement responses, controller responses and frequency spectrum analysis, respectively.

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 Gaussian with loop-transfer recovery methodology for the F-100 engine

1986 ◽  
Vol 9 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Michael Athans ◽  
Petros Kapasouris ◽  
Efthimios Kappos ◽  
H. A. Spang
Keyword(s):  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Loop Transfer Recovery

H∞-constrained quasi-linear quadratic Gaussian control with loop transfer recovery

1997 ◽  
Vol 11 (3) ◽  
pp. 255-266 ◽  
Author(s):  
Seong Ik Han ◽  
Jong Shik Kim
Keyword(s):  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Loop Transfer Recovery

Feedforward Feedback Linearization Linear Quadratic Gaussian With Loop Transfer Recovery Control of Piezoelectric Actuator in Active Vibration Isolation System

2018 ◽  
Vol 140 (4) ◽  
Author(s):  
Shuai Wang ◽  
Zhaobo Chen ◽  
Xiaoxiang Liu ◽  
Yinghou Jiao
Keyword(s):  
Vibration Control ◽  
Piezoelectric Actuator ◽  
Feedback Linearization ◽  
Vibration Isolation ◽  
Control Method ◽  
Linear Quadratic ◽  
Linear Quadratic Gaussian ◽  
Isolation System ◽  
Vibration Isolation System ◽  
Loop Transfer Recovery

Hysteresis exists widely in intelligent materials, such as piezoelectric and giant magnetostrictive ones, and it significantly affects the precision of vibration control when a controlled object moves at a range of micrometers or even smaller. Many measures must be implemented to eliminate the influence of hysteresis. In this work, the hysteresis characteristic of a proposed piezoelectric actuator (PEA) is tested and modeled based on the adaptive neuro fuzzy inference system (ANFIS). A linearization control method with feedforward hysteresis compensation and proportional–integral–derivative (PID) feedback is established and simulated. A linear quadratic Gaussian with loop transfer recovery (LQG/LTR) regulator is then designed as a vibration controller. Verification experiments are conducted to evaluate the effectiveness of the control method in vibration isolation. Experiment results demonstrate that the proposed vibration control system with a feedforward feedback linearization controller and an LQG/LTR regulator can significantly improve the performance of a vibration isolation system in the frequency range of 5–200 Hz with low energy consumption.

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