A Comparative Study of Fuzzy PID Control Algorithm for Position Control Performance Enhancement in a Real-time OS Based Laparoscopic Surgery Robot

Author(s):  
S. J. Song ◽  
J. W. Park ◽  
J. W. Shin ◽  
D. H. Lee ◽  
J. Choi ◽  
...  
2015 ◽  
Vol 35 (1) ◽  
pp. 34-44 ◽  
Author(s):  
Seung Joon Song ◽  
Youngjin Moon ◽  
Duck Hee Lee ◽  
Chi Bum Ahn ◽  
Youngho Jo ◽  
...  

2015 ◽  
Vol 743 ◽  
pp. 146-149
Author(s):  
Wen Liang Guan ◽  
Qin He Gao ◽  
Yi Hong Li ◽  
Zhi Hao Liu

Dynamics model and Electro-hydraulic proportional control model were established using Simulink and AMESim, Co-simulation was did based on the model. Control Performance of erecting system is Improved based on fuzzy PID control algorithm. Simulation results show that, Overshoot at level exchanging is small, the response is fast and the stability is improved based on fuzzy PID control algorithm.


Author(s):  
Bin Zhang ◽  
Hui-ming Bao ◽  
Qi Zhong ◽  
Hao-cen Hong ◽  
Hua-yong Yang

Abstract In hydraulic motion control industries, independent metering valves control system (IMVCS) can effectively improve the control performance of the system, furthermore, it has prominent potential in energy-saving. In IMVCS, the meter-in and meter-out orifices are regulated by two independent valves, which increases the control degrees of freedom. In some working conditions such as lifting where the load is steady, a double pressure compound control (DPCC) strategy that controls inlet and outlet cavities simultaneously can be applied for better dynamic performance. In this paper, a double DPCC strategy is proposed to regulate the pressure of both meter-in and meter-out chambers of a cylinder. Firstly, the control algorithm based on the two-level fuzzy PID (FPID) is designed, which contains a spool displacement controller as an inner loop and a pressure controller as an outer loop. Then, the pressure dynamic characteristics of the system under the IMVCS are studied. The simulation model is established using AMESim-Simulink co-simulation, and its key parameters are identified through experiments. The simulation results show that the dynamic characteristics of the actuator can be increased effectively with two-level fuzzy PID control algorithm and DPCC strategy. The adjusting time and overshoot of cavity pressure can be significantly decreased with them.


2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.


2017 ◽  
Author(s):  
Yifei Feng ◽  
Guoping Lu ◽  
Lulin Yue ◽  
Weifeng Jiang ◽  
Ye Zhang

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.


2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.


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