Linear quadratic Gaussian controller design for plasma current, position and shape control system in ITER

A two-degree-of-freedom quarter-car model is used as the basis for linear quadratic (LQ) and linear quadratic Gaussian (LQG) controller design for an active suspension. The LQ controller results in the best rms performance trade-offs (as defined by the performance index) between ride, handling and packaging requirements. In practice, however, all suspension states are not directly measured, and a Kalman filter can be introduced for state estimation to yield an LQG controller. This paper (i) quantifies the rms performance losses for LQG control as compared to LQ control, and (ii) compares the LQ and LQG active suspension designs from the point of view of stability robustness. The robustness of the LQ active suspensions is not necessarily good, and depends strongly on the design of a backup passive suspension in parallel with the active one. The robustness properties of the LQG active suspension controller are also investigated for several distinct measurement sets.

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Attitude and Altitude Controller Design for Quad-Rotor Type MAVs

Mathematical Problems in Engineering ◽

10.1155/2013/587098 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 5

Author(s):

Wei Wang ◽

Hao Ma ◽

Min Xia ◽

Liguo Weng ◽

Xuefei Ye

Keyword(s):

Attitude Control ◽

Controller Design ◽

Sliding Mode ◽

Micro Air Vehicles ◽

Triaxial Accelerometer ◽

Linear Quadratic ◽

Linear Quadratic Gaussian ◽

Constant Altitude ◽

The Military ◽

Rotor Type

Micro air vehicles (MAVs) have a wide application such as the military reconnaissance, meteorological survey, environmental monitoring, and other aspects. In this paper, attitude and altitude control for Quad-Rotor type MAVs is discussed and analyzed. For the attitude control, a new method by using three gyroscopes and one triaxial accelerometer is proposed to estimate the attitude angle information. Then with the approximate linear model obtained by system identification, Model Reference Sliding Mode Control (MRSMC) technique is applied to enhance the robustness. In consideration of the relatively constant altitude model, a Linear Quadratic Gaussian (LQG) controller is adopted. The outdoor experimental results demonstrate the superior stability and robustness of the controllers.

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Improvement Shifting Control of Continuously Variable Transmission (CVT) by Using PID, Pole Placement and LQG

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.446-447.1165 ◽

2013 ◽

Vol 446-447 ◽

pp. 1165-1170

Author(s):

Shu Yuan Ma ◽

Bdran Sameh ◽

Saifullah Samo ◽

Aymn Bary

Keyword(s):

Control System ◽

Control Method ◽

Operating Conditions ◽

Pole Placement ◽

Speed Ratio ◽

Linear Quadratic ◽

Linear Quadratic Gaussian ◽

Variable Transmission ◽

Simulation Results ◽

Pole Placement Controller

In this paper, the CVT shifting control system based on vehicle operating conditions is modeled and simulated using MATLAB/SIMULINK. The modeling stage begins with the derivation of required mathematical model to illustrate the CVT shifting control system. Then, Linear Quadratic Gaussian (LQG), Proportional- Integrated-Derivative (PID) and Pole Placement are applied for controlling the shifting speed ratio of the modeled CVT shifting system. Simulation results of shifting controllers are presented in time domain and the results obtained with LQG are compared with the results of PID and Pole placement technique. Finally, the performances of shifting speed ratio controller systems are analyzed in order to choose which control method offers the better performance with respect to the desired speed ratio. According to simulation results, the LQG controller delivers better performance than PID and Pole Placement controller.

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