Satellite large angle tracking control design: thruster control approach

2004 ◽  
Author(s):  
Long-Life Show ◽  
Jyh-ChingJuang
Keyword(s):  
Tracking Control ◽  
Large Angle ◽  
Control Design ◽  
Control Approach ◽  
Angle Tracking

scholarly journals Yaw Angle Tracking Control Design of Underactuated AUV By Using State Dependent Riccati Equations (SDRE)-LQT

2019 ◽  
Vol 3 (2) ◽  
pp. 325
Author(s):  
Muhammad Basri Hasan
Keyword(s):  
Tracking Control ◽  
Control Design ◽  
Riccati Equations ◽  
The State ◽  
Linear Quadratic ◽  
State Dependent ◽  
Linear Quadratic Tracking ◽  
Quadratic Tracking ◽  
Yaw Angle ◽  
Angle Tracking

In realizing yaw angle control tracking on AUV, the use of the State Dependent Riccati Equations method based on Linear Quadratic Tracking (SDRE-LQT) is realized. This algorithm calculates changes in yaw angle tracking problems through calculation of parameter changes from online AUV with Algebraic Riccati Equations.So that the control signal given to the plant can follow the changing conditions of the plant itself. 

A limited angle torque actuator with cylindrical Halbach and its large angle tracking control

2019 ◽  
pp. 37-56
Author(s):  
Si-Lu Chen ◽  
Nazir Kamaldin ◽  
Tat Joo Teo ◽  
Wenyu Liang ◽  
Chek Sing Teo ◽  
...  
Keyword(s):  
Tracking Control ◽  
Large Angle ◽  
Angle Tracking ◽  
Limited Angle

scholarly journals Robust Fuzzy Path Tracking Control of a Platooning Vehicles

2017 ◽  
Vol 2 (4) ◽  
pp. 228-239
Author(s):  
Sami ALLOU ◽  
Youcef ZENNIR
Keyword(s):  
Tracking Control ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Kinematic Model ◽  
Orientation Angle ◽  
Control Design ◽  
Reference Trajectory ◽  
Control Approach ◽  
Safety Distance ◽  
Future Work

The paper present our control approach based in fuzzy controller for platooning vehicles. this approach based to control lateral and longitudinal movement of vehicles in different navigation trajectory. kinematic model of vehicles are described follows by describe of controller design. The communication is provided between vehicles with exchange information, speed and orientation angle with a fixed safety distance between vehicles. 3D simulation developed with matlab, Simulink and v-rep software were carried . Different reference trajectory are used to compared and approve our approach. The simulation results illustrate the efficiency of our control design and open the perspectives for future work.

scholarly journals A multi-channel $$\varvec{H}_\infty $$ preview control approach to load alleviation design for flexible aircraft

2021 ◽  
Author(s):  
Ahmed Khalil ◽  
Nicolas Fezans
Keyword(s):  
Design Methodology ◽  
Control Design ◽  
Doppler Lidar ◽  
Preview Control ◽  
Reduced Order ◽  
Control Approach ◽  
Structural Fatigue ◽  
Trade Offs ◽  
Gust Load Alleviation ◽  
Near Future

AbstractGust load alleviation functions are mainly designed for two objectives: first, alleviating the structural loads resulting from turbulence or gust encounter, and hence reducing the structural fatigue and/or weight; and second, enhancing the ride qualities, and hence the passengers’ comfort. Whilst load alleviation functions can improve both aspects, the designer will still need to make design trade-offs between these two objectives and also between various types and locations of the structural loads. The possible emergence of affordable and reliable remote wind sensor techniques (e.g., Doppler LIDAR) in the future leads to considering new types of load alleviation functions as these sensors would permit anticipating the near future gusts and other types of turbulence. In this paper, we propose a preview control design methodology for the design of a load alleviation function with such anticipation capabilities, based on recent advancements on discrete-time reduced-order multi-channel $$H_\infty $$ H ∞ techniques. The methodology is illustrated on the DLR Discus-2c flexible sailplane model.

Robust Tracking Control for Takagi–Sugeno Fuzzy Systems With Unmeasurable Premise Variables: Application to Tank System

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
H. Ghorbel ◽  
A. El Hajjaji ◽  
M. Souissi ◽  
M. Chaabane
Keyword(s):  
Tracking Control ◽  
Fuzzy Systems ◽  
Design Procedure ◽  
Control Design ◽  
Linear Matrix ◽  
Robust Tracking Control ◽  
Fuzzy Observer ◽  
Tank System ◽  
System States ◽  
Takagi Sugeno

In this paper, a robust fuzzy observer-based tracking controller for continuous-time nonlinear systems presented by Takagi–Sugeno (TS) models with unmeasurable premise variables, is synthesized. Using the H∞ norm and Lyapunov approach, the control design for TS fuzzy systems with both unmeasurable premises and system states is developed to guarantee tracking performance of closed loop systems. Sufficient relaxed conditions for synthesis of the fuzzy observer and the fuzzy control are driven in terms of linear matrix inequalities (LMIs) constraints. The proposed method allows simplifying the design procedure and gives the observer and controller gains in only one step. Numerical simulation on a two tank system is provided to illustrate the tracking control design procedure and to confirm the efficiency of the proposed method.

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