Self-Adaptive Scaling Factor Fuzzy Controller and NC Feeding Servo System

2011 ◽  
Vol 328-330 ◽  
pp. 1739-1742
Author(s):  
Yu Hu Zuo

The principle and structure of self-adaptive scaling factor fuzzy controller is introduced, which is composed of host fuzzy controller and auxiliary fuzzy controller. Auxiliary fuzzy controller produces a quantity to update real-time scaling factor according to control process error, variation of error and the relationship of error, to obtain better system control performance. According to characteristics of NC feeding servo system, the fuzzy controller is applied to control the NC feeding servo system. In order to check the dynamic performance and stable error of system, the controller is simulated with fuzzy toolbox and Simulink environment in Matlab. The results show that the self-adaptive scaling factor fuzzy controller is good for NC feeding servo system.

2014 ◽  
Vol 607 ◽  
pp. 811-814
Author(s):  
Xin Ge Wang ◽  
Lei Li ◽  
Hui Ling Han ◽  
Xiu Ling Wei ◽  
Mao Dian An ◽  
...  

According to the different working state of electro-hydraulic servo actuator servo system, the design parameter self-tuning three-dimensional fuzzy controller, the automatic setting of three-dimensional fuzzy controller quantization factor and scaling factor, enhance the adaptability of fuzzy control system and tracking performance, and improve the quickness of electro-hydraulic servo actuator servo system, reduce the overshoot, the rapidity and precision meet the electro-hydraulic servo actuator control servo system dynamic performance and static performance requirements. 1.Parameter self-tuning three-dimensional fuzzy controller scheme


2013 ◽  
Vol 846-847 ◽  
pp. 264-267
Author(s):  
Hui Fang Wang ◽  
Xiao Ming Liang ◽  
Zi Yu Liu

For the fuzzy controller performance optimization, several optimization strategies on the membership function, control rules and scaling factors respectively are analyzed and compared, on the basis, the sigmoid function is introduced to replace the linear factor so to optimize the conventional fuzzy controller. The theoretical analysis is carried from mapping relations of sigmoid scaling factor and relations between it and the other parameters. It is shown that sigmoid scaling factor can get the same control effect to adjusting control rules or membership function. It can ensure the dynamic performance and at the same time effectively reduce the steady-state error, but the adjusting parameter is far less than the other strategies, it is easy and feasible.


2021 ◽  
Vol 2076 (1) ◽  
pp. 012063
Author(s):  
Xingchao Zhang ◽  
Jianhong Liu ◽  
Peng Hu

Abstract In wet flue gas desulfurization technology, the key factor affecting flue gas SO2 absorption is the control of slurry pH value in the absorption tower. However, most of the commonly used pH value control methods have some defects and cannot fully meet the system control requirements. On the basis of the analysis for the problems in the control process, this paper discussed a control strategy based on internal model control algorithm. The system simulation test showed that this control method had good dynamic performance, robustness and anti-interference, which could realize the relatively accurate control of pH value for wet flue gas desulfurization system, and achieve the control goal.


2012 ◽  
Vol 260-261 ◽  
pp. 348-352
Author(s):  
Wei Wang ◽  
Xia Sun ◽  
Bao Yin Li

According to disadvantages that traditional PID control is difficult to adjust PID parameter for nonlinear and time-variant induction motor speed control system, this paper designs fuzzy self-adaptive PI speed control system with Double Closed-Loop Fuzzy Controller by combining fuzzy control and PID control. The MATLAB simulation results show that this controller has better stability and self-adaptive property and well improved the dynamic performance of the system compared with conational controller.


2014 ◽  
Vol 607 ◽  
pp. 795-798 ◽  
Author(s):  
Xin Ge Wang ◽  
Lei Li ◽  
Xiu Ling Wei ◽  
Gui Qin Chen ◽  
Bing Feng Liu

According to the different working state of electro-hydraulic servo actuator servo system, the design parameter self-tuning three-dimensional fuzzy controller, the automatic setting of 3 d quantization factor and scaling factor of the fuzzy controller, the fuzzy control system can enhance the ability to adapt and tracking performance, improve the quickness of electro-hydraulic servo actuator servo system, reduces the overshoot of the electro-hydraulic servo actuator servo system, and rapidity and control accuracy to meet the electro-hydraulic servo actuator servo system dynamic performance and static performance requirements.


Author(s):  
Qixin Zhu ◽  
Lei Xiong ◽  
Hongli Liu ◽  
Yonghong Zhu ◽  
Guoping Zhang

Background: The conventional method using one-degree-of-freedom (1DOF) controller for Permanent Magnet Synchronous Motor (PMSM) servo system has the trade-off problem between the dynamic performance and the robustness. Methods: In this paper, by using H∞ control theory, a novel robust two-degree-of-freedom (2DOF) controller has been proposed to improve the position control performance of PMSM servo system. Using robust control theory and 2DOF control theory, a H∞ robust position controller has been designed and discussed in detail. Results: The trade-off problem between the dynamic performance and robustness which exists in one-degree-of-freedom (1DOF) control can be dealt with by the application of 2DOF control theory. Then, through H∞ control theory, the design of robust position controller can be translated to H∞ robust standard design problem. Moreover, the control system with robust controller has been proved to be stable. Conclusion: Further simulation results demonstrate that compared with the conventional PID control, the designed control system has better robustness and attenuation to the disturbance of load impact.


2013 ◽  
Vol 721 ◽  
pp. 497-500
Author(s):  
Guo Jin Chen ◽  
Jing Ni ◽  
Ting Ting Liu ◽  
Ming Xu

Aiming at the lower performance, accuracy and efficiency of the existing motion control process for the traditional broaching machine, the paper studies the high-performance dual-hydraulic synchronous servo drive control technology. The synchronous electro-hydraulic servo system forms the closed loop control by the detection and feedback of the output quantity. It eliminates and restrains largely the influence of the adverse factors to obtain the high-precision synchronous driving performance. The numerical control system based on the real-time error compensation and the intelligent control to the auxiliary machinery is developed. It is used for the CNC broaching machine to make the steady-state synchronous displacement error of the double cylinders be ≤ 0.5mm.


2003 ◽  
Vol 36 (16) ◽  
pp. 1339-1344
Author(s):  
M. El Adel ◽  
M. Ouladsine ◽  
J.C. Carmona

2011 ◽  
Vol 22 (12) ◽  
pp. 2363-2375 ◽  
Author(s):  
M.-B Radac ◽  
R.-E Precup ◽  
E. M. Petriu ◽  
S. Preitl
Keyword(s):  

2010 ◽  
Vol 136 ◽  
pp. 153-157
Author(s):  
Yu Hong Du ◽  
Xiu Ming Jiang ◽  
Xiu Ren Li

To solve the problem of detecting the permeability of the textile machinery, a dedicated test system has been developed based on the pressure difference measuring method. The established system has a number of advantages including simple, fast and accurate. The mathematical model of influencing factors for permeability is derived based on fluid theory, and the relationship of these parameters is achieved. Further investigations are directed towards the inherent characteristics of the control system. Based on the established model and measuring features, an information fusion based clustering control system is proposed to implement the measurement. Using this mechanical structure, a PID control system and a cluster control system have been developed. Simulation and experimental tests are carried out to examine the performance of the established system. It is noted that the clustering method has a high dynamic performance and control accuracy. This cluster fusion control method has been successfully utilized in powder metallurgy collar permeability testing.


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