An Adaptive H infinity Control Algorithm for Jitter Control and Target Tracking in a Directed Energy Weapon

2012 ◽  
Author(s):  
Shane C. Moran
Keyword(s):  
Target Tracking ◽  
Control Algorithm ◽  
H Infinity ◽  
H Infinity Control ◽  
Directed Energy

Nonlinear H-infinity control for 4-DOF underactuated overhead cranes

2017 ◽  
Vol 40 (7) ◽  
pp. 2364-2377 ◽  
Author(s):  
Gerasimos Rigatos ◽  
Pierluigi Siano ◽  
Masoud Abbaszadeh
Keyword(s):  
Control Algorithm ◽  
Control Method ◽  
Control Program ◽  
Algebraic Riccati Equation ◽  
Equivalent Model ◽  
Underactuated System ◽  
H Infinity ◽  
Overhead Cranes ◽  
H Infinity Control ◽  
Approximate Linearization

The article proposes a nonlinear H-infinity control method for four degrees of freedom underactuated overhead cranes. The crane’s system is underactuated because it receives only two external inputs, namely a force that allows the motion of the bridge along the x-axis and a force that allows the motion of the trolley along the y-axis. A solution to the control problem of this underactuated system is obtained by applying nonlinear H-infinity control. The dynamic model of the overhead crane undergoes approximate linearization round local operating points which are redefined at each iteration of the control algorithm. These temporary equilibria consist of the last value of the crane’s state vector and of the last value of the control signal that was exerted on it. For the approximate linearization of the system’s dynamics, a Taylor series expansion is performed through the computation of the associated Jacobian matrices. The modelling errors are compensated by the robustness of the control algorithm. Next, for the linearized equivalent model of the crane an H-infinity feedback controller is designed. This requires the solution of an algebraic Riccati equation at each iteration of the computer control program. It is shown that the control scheme achieves H-infinity tracking performance, which implies maximum robustness to modelling errors and external perturbations. The stability of the control loop is proven through Lyapunov analysis.

scholarly journals Nonlinear H-infinity control for switched reluctance machines

2019 ◽  
Vol 9 (1) ◽  
pp. 14-27 ◽  
Author(s):  
Gerasimos Rigatos ◽  
Pierluigi Siano ◽  
Sul Ademi
Keyword(s):  
Control Algorithm ◽  
Control Method ◽  
Algebraic Riccati Equation ◽  
Time Step ◽  
H Infinity ◽  
Switched Reluctance ◽  
Reluctance Machine ◽  
Switched Reluctance Machines ◽  
H Infinity Control ◽  
Approximate Linearization

AbstractThe article proposes a nonlinear H-infinity control method for switched reluctance machines. The dynamic model of the switched reluctance machine undergoes approximate linearization round local operating points which are redefined at each iteration of the control algorithm. These temporary equilibria consist of the last value of the reluctance machine’s state vector and of the last value of the control signal that was exerted on it. For the approximate linearization of the reluctance machine’s dynamics, Taylor series expansion is performed through the computation of the associated Jacobian matrices. The modelling errors are compensated by the robustness of the control algorithm. Next, for the linearized equivalent model of the reluctance machine an H-infinity feedback controller is designed. This requires the solution of an algebraic Riccati equation at each time-step of the control method. It is shown that the control scheme achieves H-infinity tracking performance, which implies maximum robustness to modelling errors and external perturbations. The stability of the control loop is proven through Lyapunov analysis.

Large angle slewing maneuvers via H infinity control

1994 ◽  
Author(s):  
Todd Simmermacher ◽  
Riger Mayne ◽  
David Zimmerman
Keyword(s):  
Large Angle ◽  
H Infinity ◽  
H Infinity Control

On-orbit tuning with mixed H2/H-infinity control

1996 ◽  
Author(s):  
Mark Whorton ◽  
Anthony Calise
Keyword(s):  
H Infinity ◽  
H Infinity Control
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