Multivariable weighted LQG control design in the iterative Zang scheme

1997 ◽  
Author(s):  
P. Gaspar ◽  
J. Bokor
Keyword(s):  
Control Design ◽  
Lqg Control

Reduced order LQG control design for port Hamiltonian systems

Automatica ◽  
2018 ◽  
Vol 95 ◽  
pp. 86-92 ◽  
Author(s):  
Yongxin Wu ◽  
Boussad Hamroun ◽  
Yann Le Gorrec ◽  
Bernhard Maschke
Keyword(s):  
Hamiltonian Systems ◽  
Control Design ◽  
Reduced Order ◽  
Lqg Control

PI-shaped LQG control design for adaptive optics systems

2020 ◽  
Vol 102 ◽  
pp. 104528
Author(s):  
Jacopo Mocci ◽  
Martino Quintavalla ◽  
Alessandro Chiuso ◽  
Stefano Bonora ◽  
Riccardo Muradore
Keyword(s):  
Adaptive Optics ◽  
Control Design ◽  
Lqg Control

Study on Control Technology for Vehicle Active Suspension

2011 ◽  
Vol 143-144 ◽  
pp. 69-73
Author(s):  
Xiao Bin Fan ◽  
Bing Xu Fan ◽  
Hui Gang Wang
Keyword(s):  
Pid Control ◽  
Ride Comfort ◽  
Design Method ◽  
Control Design ◽  
Active Suspension ◽  
Fuzzy Pid ◽  
Linear Quadratic ◽  
Fuzzy Pid Control ◽  
Suspension Control ◽  
Lqg Control

An active suspension system has been proposed to improve the ride comfort. A quarter-car 2 degree-of-freedom system is designed and constructed on the basis of the concept of a four-wheel independent suspension. The aim of the work described in the paper was to illustrate the application of fuzzy Proportional Integration Derivative (PID) technique and Linear Quadratic Guass (LQG) control to the active suspension control system. The paper describes also the model and controller used in the study and discusses the vehicle response results obtained from a range of road input simulations. This work describes some comparison of active suspension fuzzy PID control and LQG control design method by MATLAB simulations. Simulation results show that the LQG controller achieved better performances in all carried-out investigations.

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