Non-singleton interval type-2 fuzzy PID control for high precision electro-optical tracking system

2021 ◽  
Author(s):  
Wei Tong ◽  
Tao Zhao ◽  
Qianwen Duan ◽  
Hanwen Zhang ◽  
Yao Mao
Keyword(s):  
High Precision ◽  
Pid Control ◽  
Tracking System ◽  
Optical Tracking ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Optical Tracking System ◽  
Interval Type

scholarly journals Design of Type-1 and Interval Type-2 Fuzzy PID Control for Anesthesia Using Genetic Algorithms

2014 ◽  
Vol 06 (02) ◽  
pp. 70-93 ◽  
Author(s):  
Hugo Araujo ◽  
Bo Xiao ◽  
Chuang Liu ◽  
Yanbin Zhao ◽  
H. K. Lam
Keyword(s):  
Genetic Algorithms ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Interval Type

scholarly journals High Precision Optical Tracking System Based on near Infrared Trinocular Stereo Vision

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2528
Author(s):  
Songlin Bi ◽  
Yonggang Gu ◽  
Jiaqi Zou ◽  
Lianpo Wang ◽  
Chao Zhai ◽  
...  
Keyword(s):  
High Precision ◽  
Stereo Vision ◽  
Near Infrared ◽  
Nearest Neighbor ◽  
Tracking System ◽  
Optical Tracking ◽  
Tracking Accuracy ◽  
Optical Tracking System ◽  
Dynamic Tracking ◽  
Trinocular Stereo

A high precision optical tracking system (OTS) based on near infrared (NIR) trinocular stereo vision (TSV) is presented in this paper. Compared with the traditional OTS on the basis of binocular stereo vision (BSV), hardware and software are improved. In the hardware aspect, a NIR TSV platform is built, and a new active tool is designed. Imaging markers of the tool are uniform and complete with large measurement angle (>60°). In the software aspect, the deployment of extra camera brings high computational complexity. To reduce the computational burden, a fast nearest neighbor feature point extraction algorithm (FNNF) is proposed. The proposed method increases the speed of feature points extraction by hundreds of times over the traditional pixel-by-pixel searching method. The modified NIR multi-camera calibration method and 3D reconstruction algorithm further improve the tracking accuracy. Experimental results show that the calibration accuracy of the NIR camera can reach 0.02%, positioning accuracy of markers can reach 0.0240 mm, and dynamic tracking accuracy can reach 0.0938 mm. OTS can be adopted in high-precision dynamic tracking.

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.

The Fuzzy PID Control Simulation Research of the Macro-Micro Servo Driven Positioning Mechanism

2014 ◽  
Vol 668-669 ◽  
pp. 544-548
Author(s):  
You Xiong Xu ◽  
Song Qing Zhu
Keyword(s):  
High Precision ◽  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Control Simulation ◽  
Motion System ◽  
Combined Simulation

According to the contradiction between the large stroke and high precision of positioning mechanism, in order to solve the high precision positioning problem of large stroke motion system in precision machining and precision measurement fields, the macro-micro positioning mechanism based on electrohydraulic-piezoelectric hybrid servo was presented with the advantages of the electrohydraulic servo driven and the piezoelectric precision driven. Its combined simulation model based on AMESim and MATLAB/Simulink software was built. On this basis, its fuzzy PID control simulation research was done. The simulation results showed that compared with traditional PID, the positioning mechanism static and dynamic performance could be improved by using the fuzzy control method. This will provide control theoretical basis for practical engineering applications.

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