Robotic cell injection force control based on static PVDF sensor and Fuzzy-PID control method

2013 ◽  
Vol 41 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Zhiyong Sun ◽  
Lina Hao ◽  
Wenlin Chen ◽  
Zhi Li
Keyword(s):  
Pid Control ◽  
Force Control ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Robotic Cell ◽  
Cell Injection ◽  
Injection Force

Design and Simulation of Grinding Force Control System for Wafer Self-Rotating Grinding

2011 ◽  
Vol 403-408 ◽  
pp. 762-766
Author(s):  
Jia Ping Yu ◽  
Xin Wei ◽  
Zhuo Chen ◽  
Pei Yong Lin
Keyword(s):  
Control System ◽  
Pid Control ◽  
Force Control ◽  
Control Method ◽  
Grinding Force ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Modeling Simulation ◽  
Force Control System ◽  
Simulation And Experiment

According to the features of the self–rotating grinding, the real-time grinding force control system was designed. The Fuzzy-PID control method has been proved to be the most suitable control method and fulfill the system’s needs through the modeling, simulation and experiment of the system in this paper.

A Fuzzy PID Control Method for the Grasping Force of an Underactuated Prosthetic Hand

2014 ◽  
Vol 551 ◽  
pp. 514-522
Author(s):  
Qun Ming Li ◽  
Ya Ping Lv
Keyword(s):  
Pid Control ◽  
Force Control ◽  
Control Method ◽  
Prosthetic Hand ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Modeling Error ◽  
Fuzzy Pid Control ◽  
Auxiliary Equipment ◽  
Grasping Force

The prosthetic hand which is the auxiliary equipment of the disabled people in the daily life must ensure stable grasping. Therefore, grasping force control with high accuracy and fast response is the most significant demand. With a conventional PID control, nonlinear dynamic and modeling error of prosthetic hand highly affect the control performance, causing deviation of desired force and slow response. A fuzzy PID control strategy is proposed for eliminating the influence of modeling error and implementing the grasping force control. The PID controller parameters are tuned automatically, on-line, to improve the control performance of the prosthetic hand system. The simulation and experimental results are presented to demonstrate the reliability and effectiveness of the proposed control scheme.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

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.

The Improvement of Anti-Surge Control on Air Separation Compressor

2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu
Keyword(s):  
Least Squares ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Regression Equation ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Compressor Surge ◽  
Surge Control

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.

scholarly journals A Micro-Force-Tracking System Based on PVDF Static Micro-Force Sensor and Fuzzy-PID Control Method

2011 ◽  
Vol 2-3 ◽  
pp. 489-494
Author(s):  
Zhi Yong Sun ◽  
Wen Lin Chen ◽  
Yun Quan Su ◽  
Li Na Hao
Keyword(s):  
Pid Control ◽  
Polyvinylidene Fluoride ◽  
Control Method ◽  
Tracking System ◽  
Force Sensor ◽  
Fuzzy Pid ◽  
Sensing Element ◽  
Fuzzy Pid Control ◽  
Force Tracking ◽  
Micro Force Sensor

This article is intended to design a static micro-force sensor with a simple structure employing the polymer material PVDF (polyvinylidene fluoride) film as its sensing element, and will carry out some micro-force tracking tests. During the tracking tests, this paper employs a Fuzzy-PID control method and an ordinary PD control method to control the system, and will also analyze the results of them.

Variable Universe Fuzzy PID Control for Minimally Invasive Operation Robotic Catheter System

2014 ◽  
Vol 618 ◽  
pp. 470-474
Author(s):  
Jing Bo Shi
Keyword(s):  
Minimally Invasive ◽  
Pid Control ◽  
Control Method ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Tracking ◽  
Variable Universe ◽  
Control Precision ◽  
Minimally Invasive Operation

Robotic catheter minimally invasive operation requires control system of quick response, strong anti-jamming and real-time tracking of target trajectory. The contradiction between fuzzy PID control precision and its response speed limits its application in master-slave minimally invasive operation. The paper adopted variable universe fuzzy PID method to improve fuzzy PID method’s control precision without reducing the speed of response. The simulation results show that variable universe fuzzy PID control method has fast tracking performance and strong robustness, and it has feasibility and practicability in robotic catheter minimally invasive operation.

Sign in / Sign up

Export Citation Format

Share Document