Electro-Pneumatic Robot Actuator with Artificial Muscles and State Feedback

2013 ◽  
Vol 460 ◽  
pp. 23-31 ◽  
Author(s):  
Mária Tóthová ◽  
Ján Piteľ ◽  
Jana Mižáková
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Linear System ◽  
State Feedback ◽  
Dynamic Control ◽  
Artificial Muscles ◽  
State Variables ◽  
Feedback Control System ◽  
Operating Characteristics ◽  
Control Error

Pneumatic position servo system with artificial muscles described in this paper represents feedback control system with non-linear compensation controller of state variables. The designed system demonstrates the operating characteristics that are significantly more favorable than the original characteristics without compensation and they are similar to the properties of the linear system. Such system has principally a shorter control time, significantly lower dynamic control error and it allows apply larger constants of the controller. Following an increased invariance of system against disturbances and also its parametric invariance (robustness) occur.

Reduction of Quantization Error in Multirate Output Feedback Control

2016 ◽  
Vol 28 (5) ◽  
pp. 640-645
Author(s):  
Takao Sato ◽  
◽  
Hironobu Sakaguchi ◽  
Nozomu Araki ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Output Feedback ◽  
Design Method ◽  
Output Feedback Control ◽  
Quantization Error ◽  
Design Parameters ◽  
Control Input ◽  
State Variables ◽  
Feedback Control System

[abstFig src='/00280005/04.jpg' width='250' text='Multirate output feedback control' ] In the new design method we propose for a multirate output feedback control system, the hold interval of control input is longer than the sampling interval of plant output. In this system, unknown state variables are calculated using control input and plant output without observers. The multirate output feedback control system has been extended by introducing new design parameters that are designed independent of the calculation of the state variable. To our knowledge, however, no systematic design scheme has ever been proposed for design parameters in this case. In this study, quantization error is dealt with statistically and design parameters are decided to minimize quantization error.

scholarly journals Optimisation of dynamic quantisation and control for quantised state feedback control system

2020 ◽  
Vol 2020 (7) ◽  
pp. 251-258
Author(s):  
Than Zaw Soe ◽  
Tadanao Zanma ◽  
Atsuki Tokunaga ◽  
Kenta Koiwa ◽  
Kang Zhi Liu
Keyword(s):  
Control System ◽  
Feedback Control ◽  
State Feedback ◽  
State Feedback Control ◽  
Feedback Control System ◽  
And Control
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