scholarly journals A Study on Control Performance of Predictor-Relay Servo Systems Subjected to a Gaussian Random Input

1962 ◽  
Vol 28 (185) ◽  
pp. 90-97
Author(s):  
Yoshikazu SAWARAGI ◽  
Yoshifumi SUNAHARA ◽  
Takayoshi NAKAMIZO
2012 ◽  
Vol 430-432 ◽  
pp. 1650-1654
Author(s):  
Qiang Gao ◽  
Li Jun Ji ◽  
Run Min Hou ◽  
Ji Lin Chen

Electro-hydraulic servo systems (EHSS) are widely used in many industrial applications, and to determine the control strategies to exhibit high robustness and high precision remains the focus of attention. In order to improve the control performance of EHSS, a novel control method, based on fractional PID (FPID) controller, is proposed and designed for the EHSS. The transfer function of EHSS is constructed using first-principle method. The feasibility and availability of the proposed controller are examined by numerical simulation. The control performances of fractional FPID are well assessed based on performance indexes, including response time, tracking accuracy and robustness. The results of the simulation verify that FPID controller is of excellent control performance, and is suitable for the control of EHSS.


2018 ◽  
Vol 160 ◽  
pp. 05004
Author(s):  
Xiang Wang ◽  
Yifei Wu ◽  
Fei Yan ◽  
Yang Gao ◽  
Zhen Xu

Inertia variations in servo systems greatly affect the control performance. This paper presents an adaptive terminal sliding-mode controller to deal with the problem. Instead of using traditional mathematics model, a characteristic model, which has more advantages in describing time-varying dynamics, is adopted to describe the servo system with inertia variations. The parameters of characteristic model are identified by the recursive least squares algorithm. Then, an adaptive terminal sliding-mode controller is designed based on the characteristic model. Theoretical analysis proves that the quasi-sliding mode is reached in finite steps. Simulation results demonstrate the improvement of tracking performance of the proposed controller.


2016 ◽  
Vol 64 (5) ◽  
pp. 276-280
Author(s):  
Shinsuke SAKAMOTO ◽  
Takashi SHIMOMURA ◽  
Sayaka KANATA
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