The research of neural networks combined with fuzzy control algorithm applied in hydraulic servo system

2011 ◽  
Author(s):  
Huang ZhenHai ◽  
Chi BaoQuan ◽  
Zheng Enhui ◽  
Wang GuiRong ◽  
Xu Hong
Keyword(s):  
Neural Networks ◽  
Fuzzy Control ◽  
Control Algorithm ◽  
Servo System ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
Fuzzy Control Algorithm

Study of Hydraulic Servo System Based on Fuzzy Sliding Mode Algorithm

2013 ◽  
Vol 753-755 ◽  
pp. 2674-2678
Author(s):  
Kun Yang ◽  
Cai Jun Liu ◽  
Shu Min Liu
Keyword(s):  
Control Algorithm ◽  
Sliding Mode ◽  
Servo System ◽  
Time Varying ◽  
External Interference ◽  
System A ◽  
Hydraulic Servo ◽  
Fuzzy Sliding Mode ◽  
Hydraulic Servo System ◽  
Position Servo

Based on the situation that the hydraulic position servo system is easily influenced by the external interference and the parameters of which are different with time-varying, the fuzzy control can soften the buffeting and the sliding algorithm has no the same problems as the hydraulic position servo system, a brandly-new fuzzy sliding control algorithm is designed. In the simulation process, within the parameters of simulated time-varying and outside strong interference, the results show that the hydraulic servo system based on fuzzy sliding mode control algorithm has a greater resistance to internal and external interference and time-varying parameters.

Lyapunov Based Adaptive Control Method for Hydraulic Servo Drive

2016 ◽  
Author(s):  
Hamid Roozbahani ◽  
Konstantin Frumkin ◽  
Heikki Handroos
Keyword(s):  
Adaptive Control ◽  
Control Algorithm ◽  
Environmental Changes ◽  
Control Method ◽  
Servo System ◽  
Adaptive Controller ◽  
Servo Drive ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
Adaptive Control Algorithm

Adaptive control systems are one of the most significant research directions of modern control theory. It is well known that every mechanical appliance’s behavior noticeably depends on environmental changes, functioning-mode parameter changes and changes in technical characteristics of internal functional devices. An adaptive controller involved in control process allows reducing an influence of such changes. In spite of this such type of control methods is applied seldom due to specifics of a controller designing. The work presented in this paper shows the design process of the adaptive controller built by Lyapunov’s function method for a hydraulic servo system. The modeling of the hydraulic servo system were conducting with MATLAB® software including Simulink® and Symbolic Math Toolbox™. In this study, the Jacobi matrix linearization of the object’s mathematical model and derivation of the suitable reference models based on Newton’s characteristic polynomial were applied. In addition, an intelligent adaptive control algorithm and system model including its nonlinearities was developed to solve Lyapunov’s equation. Developed algorithm works properly and considered plant is met requirement of functioning with. The results shows that the developed adaptive control algorithm increases system performance in use devices significantly and might be used for correction of system’s behavior and dynamics.

Extension Control Research of Pump-Control Electro-Hydraulic Servo System

2011 ◽  
Vol 80-81 ◽  
pp. 917-921 ◽  
Author(s):  
Hong Bo Zheng ◽  
You Song Sun ◽  
Mian Li ◽  
Can Biao Xian
Keyword(s):  
Intelligent Control ◽  
Control Algorithm ◽  
Control Method ◽  
Servo System ◽  
Information Transformation ◽  
Control Research ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
Basic Concepts ◽  
Dynamic Quality

The extension control is a newly developed intelligent control method used to solve control problem from information transformation presented based on extenics. Firstly some basic concepts about extension control were introduced, on this basis, the extension control algorithm was improved and the extension control was applied to pump-control electro-hydraulic servo system. The simulation and experimental results show that the pump-control electro-hydraulic servo system based on extension control has such advantages as quick and stable response, simple parameters determination and excellent dynamic quality, with a better prospect for development.

Trajectory Tracking and Control Algorithm for Precision Parallel Robot

2019 ◽  
Vol 23 (2) ◽  
pp. 237-241
Author(s):  
Shanshan Chen ◽  
Keyword(s):  
Response Time ◽  
Trajectory Tracking ◽  
Control Algorithm ◽  
Servo System ◽  
Parallel Robot ◽  
System Model ◽  
Upper And Lower Bounds ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
And Control

When the state of the robot reaches the smooth sliding plane, the current algorithm will generate high-frequency chattering, resulting in larger tracking error and longer response time. To solve these problems, we have proposed a trajectory tracking and control algorithm based on exponential reaching rate. The coordinate system of parallel robot system is established, and the kinetic energy and potential energy of the system are calculated. The results are brought into the Lagarnge equation to find the dynamic model of the system. The power amplifier, electro-hydraulic servo valve, hydraulic cylinder and its load are taken as generalized controlled objects, and the hydraulic servo system model is established. The exponential approaching rate is introduced to design the dynamics model and the trajectory tracking sliding controller of the hydraulic servo system model. By adjusting the upper and lower bounds of the external disturbance of the controller, the control rate is changed, the buffeting occurrence is reduced, and the response time is shortened, to realize the low error tracking of any trajectory of the robot. The experimental results show that the trajectory of the robot can be adjusted quickly and the desired trajectory is better tracked by the end.

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