New control algorithm for automatic PMD compensation system

2012 ◽  
Vol 10 (3) ◽  
pp. 030607-30610 ◽  
Author(s):  
Jinnan Zhang Jinnan Zhang ◽  
Yue Gu Yue Gu ◽  
Xueguang Yuan Xueguang Yuan ◽  
Feng Tian Feng Tian ◽  
Xiaoguang Zhang Xiaoguang Zhang ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Compensation System ◽  
Pmd Compensation

Improved PSO Based Feedback Control Algorithm in the Application of PMD Compensation System

2013 ◽  
Vol 710 ◽  
pp. 506-510
Author(s):  
Ying Chen ◽  
Qi Guang Zhu ◽  
Wei Hong Bi
Keyword(s):  
Feedback Control ◽  
Control Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Polarization Mode Dispersion ◽  
Swarm Optimization ◽  
Eye Diagram ◽  
Mode Dispersion ◽  
Before And After ◽  
Global Optima ◽  
Pmd Compensation

An feedback control algorithm based on improved particle swarm optimization algorithm for adaptive polarization mode dispersion (PMD) compensation has been proposed. In order to achieve the global optima of DOP, the aggregating index has been adjusted to maintain the global searching capability of PSO. The immune clone principle has been adopted to maintain the diversity of the swarm. Compared the eye diagram before and after compensation, the opening of the eye diagram has been improved obviously, which demonstrated the effectiveness of the IPSO based feedback control algorithm..

Adaptive Polarization Mode Dispersion Compensation with DPSO Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 4015-4018
Author(s):  
Xiu Ling Ding ◽  
Xue Guang Yuan ◽  
Jin Nan Zhang ◽  
Yang An Zhang
Keyword(s):  
Optical Communication ◽  
Control Algorithm ◽  
Dispersion Compensation ◽  
Polarization Mode Dispersion ◽  
Global Optimum ◽  
Polarization Mode ◽  
Optical Communication System ◽  
Mode Dispersion ◽  
Robustness To Noise ◽  
Pmd Compensation

Dithering particle swarm optimization (DPSO) algorithm is introduced into adaptive polarization mode dispersion (PMD) compensation in optical communication system. The DPSO algorithm has the merits of rapid convergence to the global optimum, without being trapped in local sub-optima, and good robustness to noise. How to implement DPSO as a component of a control algorithm in adaptive polarization mode dispersion compensation is described. Performance comparisons between PSO and DPSO were carried out theoretically and experimentally.

Respiratory Compensation System in Spinal Surgery

2017 ◽  
Author(s):  
Yu Sun ◽  
Haiyun Chen ◽  
Zhongliang Jiang ◽  
Peng Gao ◽  
Ying Hu ◽  
...  
Keyword(s):  
Spinal Surgery ◽  
Medical Image ◽  
Control Algorithm ◽  
Compensation System ◽  
Surgical Robots ◽  
Respiratory Compensation ◽  
Actual Application ◽  
Robot Systems ◽  
Infrared Tracking ◽  
Accuracy And Stability

The traditional spinal surgery is often conducted by hand operation with the help of navigation system which is combined with medical image. Although a veteran surgeon has a good adaptability during surgeries, it will tend to decrease along with the increase in surgery time which causes fatigues and leads to low qualities. Many surgical robots have been developed to assist surgeons in operation, and some of them approved by doctors or researchers are DaVinci (Intuitive Surgical, America) [1], Renaissance (Mazor Robotics, Israel), etc. These robot systems have enhanced the accuracy of operation; however, the adaptabilities are still weakened at the same time. During the pedicle screw drilling, surgeons can well adapt to the spine movements mainly caused by respiration, while it is difficult for these robots to adapt to the movements, indicating that the accuracy might drop in the actual application. Respiratory compensation system is aimed to keep the region of operation stable or reduce the amplitude of fluctuation [2]. The rests of paper introduced the respiratory compensation system and its control algorithm based on infrared tracking data, and experiments were conducted to analyze the accuracy and stability.

Particle swarm optimization used as a control algorithm for adaptive PMD compensation

2005 ◽  
Vol 17 (1) ◽  
pp. 85-87 ◽  
Author(s):  
Xiaoguang Zhang ◽  
Yuan Zheng ◽  
Yu Shen ◽  
Jianzhong Zhang ◽  
Bojun Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Control Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Pmd Compensation

Research on the principle of PSBT modulation format and its performance in the PMD compensation system

2009 ◽  
Author(s):  
Feng Tian ◽  
Lixia Xi ◽  
Xinyuan Zhao ◽  
Xianfeng Tang ◽  
Xiaoguang Zhang
Keyword(s):  
Compensation System ◽  
Modulation Format ◽  
Pmd Compensation
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