Robust switched control based on strictly positive real systems and variable structure control techniques

2016 ◽  
Vol 30 (8-10) ◽  
pp. 1244-1268 ◽  
Author(s):  
Rodrigo Cardim ◽  
Marcelo C. M. Teixeira ◽  
Edvaldo Assunção ◽  
Jean M. S. Ribeiro ◽  
Márcio R. Covacic ◽  
...  
Keyword(s):  
Variable Structure Control ◽  
Variable Structure ◽  
Positive Real ◽  
Structure Control ◽  
Control Techniques ◽  
Strictly Positive Real ◽  
Switched Control

Local Kinesthetic Guidance Based on Variable-Structure Control Techniques

2010 ◽  
Author(s):  
Carlos Cruz-Valverde ◽  
Omar A. Dominguez-Ramirez ◽  
Edgar R. Ponce-de-Leon-Sanchez ◽  
Itzel Trejo-Mota ◽  
Gabriel Sepulveda-Cervantes
Keyword(s):  
Variable Structure Control ◽  
Variable Structure ◽  
Structure Control ◽  
Control Techniques

Variable Structure Control Techniques

2018 ◽  
pp. 13-1-13-25
Author(s):  
Asif Šabanović ◽  
Nadira Šabanović-Behlilović
Keyword(s):  
Variable Structure Control ◽  
Variable Structure ◽  
Structure Control ◽  
Control Techniques

Sliding Mode Control of a Non-Collocated Flexible System

2003 ◽  
Author(s):  
Aimee M. Frame ◽  
Wayne J. Book
Keyword(s):  
Control Method ◽  
Sliding Mode ◽  
Variable Structure Control ◽  
Variable Structure ◽  
Flexible Beam ◽  
Actual System ◽  
Structure Control ◽  
Control Techniques ◽  
Flexible System ◽  
Position Tracking Control

A new control method is developed for position tracking control of a flexible, non-collocated system. The desired trajectory is specified for the free end of a flexible beam that moves along a horizontal track actuated by a linear motor. First, a system model is reformulated based on a pendulum with stiffness and dampening. Small angle approximations are used so that a linear model can be obtained. Next, variable structure control is chosen as the control method due to its seemingly robust nature. The sliding surface and feedback gains are designed using the developed model based on literature describing various variable structure control techniques. Simulations are then conducted to verify the control method and examine its robustness. Finally, the method is implemented on an actual system using a Kalman filter to estimate the states.

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