Dissertation > Excellent graduate degree dissertation topics show

Study on the Dynamic Performance of the Sensor

Author: ZhaoWeiWei
Tutor: GeHuaMin
School: Nanjing University of Information Engineering
Course: System Analysis and Integration
Keywords: sensor dynamic nonlinear the Wiener model LMS adaptiVe algorithm adaptiVe decision-making
CLC: TP212
Type: Master's thesis
Year: 2012
Downloads: 250
Quote: 0
Read: Download Dissertation

Abstract


The sensor is the nerve endings of the Internet of Things,it is also the core components for human beings to perceive the whole world.To improve the measurement accuracy of the sensor,we need to study the performance of the sensor in-depth, and the dynamic performance of the sensor is very important to its measurement accuracy. So this paper conducted a series of theoretical and experimental work related to the dynamic performance of the sensor including the modeling of the dynamic nonlinear of the sensor, the analysis of the sensor dynamic performance and the calibration of the dynamic nonlinear performance.The study of the sensor dynamic performance is based on accurate sensor dynamic models, and aimed at the improvement of its dynamic performance. In order to improve the modeling and compensating precision, this paper proposed a novel variable step-size&variable parameters least mean square error adaptive algorithm who can be extended to nonlinear. This algorithm can be used in signal filtering and system identification in the study of the sensor dynamic performance. More over, a modified decorrelation principle was also proposed to figure out the problem of the system identification with correlated input signals. The analytic and simulation results verified the superiorities of our algorithm.To improve the sensor performance and taking use of the merits of the block oriented models, we chose the Wiener model to represent the model of the non-linear sensor. Based on the adaptive algorithm above and the idea of the neural network, a new two-step dynamic nonlinear adaptive neural network system identification algorithm based on the Wiener model was proposed, whose identify and training process was given. The simulation of the sensor by the combination of Lab VIEW and Matlab verified the correctness of the description of the sensor model and its identification algorithm.After correctly analyze the performance standards of the sensor, a two-step dynamic nonlinear adaptive neural network compensation method based on the Wiener model was proposed. System identification algorithm was used to compensate the two parts of the Wiener model. To solve the problem of dynamic compensation of the actual system may lead to high-frequency noise, the article also raised the idea of adaptive decision-making. Simulation results verified the correctness of our compensation and adaptive decision-making ideas. In real applications, we can decide whether to adopt the adaptive decision-making idea according to the performance of the system to be compensated.According to the working principle of the hot-film Mass Air Flow sensor, static and dynamic calibration experiments of it were designed. Pre-processing the experimental data and then applying the system modeling and compensation methods that have been verified effectively into the study of its dynamic performance of the sensor can correctly describe the dynamic nonlinear model of the sensor and improve its dynamic performance.

Related Dissertations

  1. Research on Magnetic Field Sensor Based on GMI Effect and Geomagnetic Matching Algorithm,P318
  2. Soft Sensor of Naphtha Dry Point on Support Vector Machines Regression,TE622.1
  3. Research on the Integrated Grating Subdividing Digital Display Device Based on DSP,TH822
  4. High Speed Frequency Measurment and Non-Linearity Correction of Frequency Modulated Capacitive Displacement Sensor,TH822
  5. Research on Temperature Measurement Technique Based on CCD Image Sensor,TH811
  6. The Research of Navigation Multi-Sensor Data Fusion Technology Based on Micro Unmanned Platform,V249.32
  7. Research on the Image Acquisition System Based on CMOS Star Sensor,V448.2
  8. Research on Temprature Controling Technology of Laser Diode with Thermoelectric Cooler,TN248.4
  9. Design and Implement of Multi-Port Network Communication Platform,TN929.5
  10. Research on Intelligent Learning-Based Multi-Sensor Target Recognition and Tracking System,TP391.41
  11. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  12. Research on Spaceborne Hyperspectral Sensor Simulation,TP391.9
  13. Development of Experimental Robot Control System Based on ARM,TP242.6
  14. Gradual Event Detection in Sensor Networks,TP212.9
  15. Development of Inductance Sensor Data Acquisition System Based on FPGA,TP274.2
  16. Data Aggregation Scheduling Algorithms in Wireless Sensor Networks,TP212.9
  17. Multi-Sensor Information Fusion and Its Applications on Wearable Computer,TP202
  18. Research on Target Tracking and System in Wireless Sensor Networks Based on Character of Movement and Terrain Restriction,TP212.9
  19. Technology for Localization Attack Detection in Wireless Sensor Networks,TP212.9
  20. Multiple Pairwise Keys Management Protocol of Function Node-Based for Wireless Sensor Networks,TP212.9
  21. A Mobile Health Monitoring System for the Elderly,TN929.5

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor
© 2012 www.DissertationTopic.Net  Mobile