Dissertation > Excellent graduate degree dissertation topics show

The RBF-ARX Model-based Nonlinear System Modeling and Predictive Control to Magnetic Levitation System

Author: ZengQi
Tutor: PengHui
School: Central South University
Course: Control Science and Engineering
Keywords: Levitation device RBF-ARX model LQR controller Real-time control Predictive Control
Type: Master's thesis
Year: 2011
Downloads: 55
Quote: 1
Read: Download Dissertation


With the improvement of the level of urbanization , many cities are built underground , but because of its cost is too expensive , policymakers actually consider maglev train . In fact, the maglev technology is only used in maglev trains outside the magnetic suspension balance, magnetic bearings , magnetic motors and other fields are also great worthiness . But the maglev system nonlinearity, open loop instability , uncertainty and other features make it not easy to control , and explore an accurate, practical control method is very valuable . In this thesis, a set of two degrees of freedom of the laboratory suction floating levitation device is expanded research , first introduced the maglev research status , the introduction of the suspension system of the physical model , RBF-ARX model , LQR theory and basic knowledge of predictive control principle, etc. after the system using the PID controller preliminary control, acquisition get the global dynamic input and output data , which is calculated maglev system RBF-ARX model, and further use of LQR controller system for real-time control , and finally , the use of magnetic levitation system RBF-ARX model state space form of expression designed predictive control strategy, simulation run and complete papers. Paper relates to the selection of many parameters in this article for each parameter selection and optimization strategies are given a detailed explanation , some based on the theoretical results , some after repeated testing concluded that all the work in order to get a better effective control effect or simulation results service . The final results show that , RBF-ARX model maglev system has a very good ability to describe ; rather based on RBF-ARX model LQR controller in real-time control achieved excellent results, on the steady-state and dynamic suspension system has a very good control effect ; in predictive control simulation also verified based on RBF-ARX model predictive controller has a good performance. I hope this article on the actual industrial process control , serve , and this excellent model to more practical industrial systems were to go.

Related Dissertations

  1. Satellite Attitude Control Methods Using Only Magnetorquers,V448.222
  2. Research of Predictive Control in Water Treatment Plant Based on Neuron Network,TP273.1
  3. Robust Model Predictive Control of Networked Systems,TP273
  4. Research on Predictive Control and Simulation of pH Value Based on the Confection Process of Sodium Nitrate,TP273
  5. Design and Implementation of Rotational Inverted Pendulum Control System Based on Sliding Mode Observer,TP13
  6. The Inverse System Predictive Controller for Structure Vibration,TU311.3
  7. Study of metal -organic chemical vapor deposition equipment control system,TN304.055
  8. Supercritical Power Unit Load Control and Optimization Based on Generalized Predictive Control,TM621.6
  9. Air-cooled proton exchange membrane fuel cell dynamics control and performance testing of,TM911.4
  10. Resonant vibration load fatigue testing system model predictive control technology,TH87
  11. Neural network predictive control applied research,TP13
  12. Research and Design on the Control of Active Power Filter Based on DSP,TN713.8
  13. Temperature control and design of proton exchange membrane fuel cell,TM911.4
  14. Application of Model Predictive Control in Power Plant Superheated Steam Temperature Control,TM76
  15. The Research of Current-Loop Bandwith Expanding Technology for AC-Pmsm Servo System,TM921.541
  16. Research on Rare Earth Extraction Process Control Method Based on Video Surveillance,TP273
  17. Current Predictive Control Research in Active Power Filter,TM76
  18. The Research and Application of Fuzzy Predictive Control in Thermal Object,TP273.4
  19. Study on Control of Inspection Vehicle Teleoperation System with Variable Time,TP242.6
  20. The Application of RBF-ARX Model-based Predictive Control on Inverted Pendulum System,TP13

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Automatic control theory
© 2012 www.DissertationTopic.Net  Mobile