Lyapunov Based Adaptive Control Method for Hydraulic Servo Drive

Author(s):  
Hamid Roozbahani ◽  
Konstantin Frumkin ◽  
Heikki Handroos

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.

2011 ◽  
Vol 80-81 ◽  
pp. 917-921 ◽  
Author(s):  
Hong Bo Zheng ◽  
You Song Sun ◽  
Mian Li ◽  
Can Biao Xian

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.


1995 ◽  
Vol 61 (590) ◽  
pp. 3991-3998 ◽  
Author(s):  
Zenta Iwai ◽  
Toyokazu Egashira ◽  
Mitsushi Hino ◽  
Masanori Takahashi ◽  
Kozo Kyoizumi

2013 ◽  
Vol 753-755 ◽  
pp. 2674-2678
Author(s):  
Kun Yang ◽  
Cai Jun Liu ◽  
Shu Min Liu

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.


2016 ◽  
Vol 826 ◽  
pp. 128-133 ◽  
Author(s):  
Hyo Gon Kim ◽  
Jong Won Lee ◽  
Yong Ho Choi ◽  
Jeong Woo Park ◽  
Jin Ho Suh

Because hydraulic actuator has higher power and force density, it is normally used in heavy load manipulator robots and industrial equipment which require high torque. Also, the hydraulic actuator is applied to underwater robots that need high performance maneuver in underwater operations. The force control has benefits to those kind of robots to ensure compliance with user or environment. However, the hydraulic actuator is difficult to control forces due to the non-linearity characteristic of the hydraulic servo system. In this paper, we propose a force control method with compensation of force derivative and natural velocity feedback. We also describe a method of applying it to the real system. In order to evaluate the effect of the proposed control method, the simulations and experiments were performed.


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