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 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. 

scholarly journals Finite-Time Command Filtered Backstepping Algorithm-Based Pitch Angle Tracking Control for Wind Turbine Hydraulic Pitch Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 135514-135524 ◽  
Author(s):  
Haijun Ren ◽  
Guang Deng ◽  
Bin Hou ◽  
Shuai Wang ◽  
Gao Zhou
Keyword(s):  
Wind Turbine ◽  
Finite Time ◽  
Tracking Control ◽  
Pitch Angle ◽  
Angle Tracking ◽  
Backstepping Algorithm

Model Tracking Control of Hamiltonian Systems

1989 ◽  
Vol 111 (4) ◽  
pp. 656-660 ◽  
Author(s):  
H. Flashner ◽  
J. M. Skowronski
Keyword(s):  
Tracking Control ◽  
Cartesian Product ◽  
Large Angle ◽  
Control Law ◽  
Simulation Studies ◽  
Control Laws ◽  
New Approach ◽  
Finite Time Horizon ◽  
Plant Simulation ◽  
Two Degree Of Freedom

A new approach is presented for deriving control laws for dynamic systems that can be formulated by Hamilton’s canonical equations. The approach uses the complete nonlinear equations of the system without requiring linearization. It is shown that the error equations, between the system and a Hamiltonian model to be followed, can be described by Hamilton’s canonical equations. Using the concept of diagonal set in the cartesian product of the system and the model states, a control law is derived using the Liapunov stability approach. The resulting control law allows tracking within a stipulated precision, and also with a finite time horizon. To demonstrate the method, a control law is derived for a two degree of freedom manipulator, designed to follow a linear plant. Simulation studies show fast convergence of the state error for a large angle motion maneuver.

Large angle tracking and high discriminating tracking in nuclear emulsion

2015 ◽  
Vol 83 ◽  
pp. 41-42
Author(s):  
Tomokazu Matsuo ◽  
Hiroshi Shibuya ◽  
Satoru Ogawa ◽  
Tsutomu Fukuda ◽  
Shoji Mikado
Keyword(s):  
Nuclear Emulsion ◽  
Large Angle ◽  
Angle Tracking
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