Dissertation > Excellent graduate degree dissertation topics show

Study on Adaptive Fuzzy Control Algorithm and Its Implementation

Author: ShiRuDong
Tutor: ChenHongJun
School: Harbin Institute of Technology
Course: Electrical Engineering
Keywords: adaptive control fuzzy control fuzzy disturbance observer(FDO) motion control
CLC: TP273.4
Type: Master's thesis
Year: 2008
Downloads: 501
Quote: 2
Read: Download Dissertation


With modern science and technology developing rapidly and the scale of productional systems growing, the complex large systems are formed, which leads to the controller, control plant, control task and objectives getting increasingly complex. Traditional linear and non-linear control methods no longer suite to control this kind of systems. In order to solve the problem, the subject studies adaptive fuzzy control method combining the merit of fuzzy and adaptive control methods. One two-axis motion control card ARM-based is designed to implement the designing control method controlling the single inverted pendulum physical device.The subject studies the the basic principles of adaptive fuzzy control methods and classification depthly, and selects the type of the control method on studying. On this basis, the indirect and direct adaptive fuzzy control methods with H∞tracking performance are designed for the uncertain nonlinear SISO systems. The simulation experiments are designed to verify the performance of the two control methods. The results show that both the two control methods can attenuate the influence of fuzzy logic approximation error and external disturbance on the tracking error, and receive good dynamic tracking performance.The adaptive fuzzy control method based fuzzy disturberance observer is designed to control the single inverted pendulum system by analyzing its zero dynamics and some group contrastable experiments are designed to verify its performance. The results show this method not only implements balance control of inverted pendulum, but also effectively attenuates the internal uncertainty and external disturbace of system.The open, modular two-axis motion control card ARM-based is designed to consummate the platform of the single inverted pendulum, and some physical experiments ard designed to verify the performance of the adaptive fuzzy control method based FDO. The physical experiments’results show that the designed motion control card can meet the requirement of inverted pendulum physical platform, and this control method can implement the balance control of inverted pendulum, and it has good control performance and strong robustness.

Related Dissertations

  1. Design and Research on Stabilization Loop of Gyro Stabilized Pod Control System,V241.5
  2. Robust Adaptive Control Algorithms Research for the System of Spacecraft Attitude Dynamics,V448.22
  3. Research of Image Guided Technology for Cable Tunnel Patrol Vehicle,U469.6
  4. Several Key Issues on Closed-Loop Control for Precision Laser Tracking Device,TN249
  5. The Application of Fuzzy Control and Neural Network in Planar Double Inverted Pendulum,TP273.4
  6. Optimal Synchronization Control of a Class of Underactuated Lagrangian Systems,TP13
  7. Adaptive Control of Post-Boost Vehicle Using Multiple Models,TP273.2
  8. The Grid-Connected Wind-solar Hybrid Generation System and Maximum Power Point Tracking,TM61
  9. Research on Adaptive Control of Recovery of UUV with Near Wall Constraint,TP273
  10. Control System of Rotary Drying for Flake Agricultural Materials,S226.6
  11. Design and Research of a Multi-Use End-Effector for Harvesting Robot,S24
  12. The Design of Experimental Device for Mine Motor Soft Starter,TM343.2
  13. Virtual Human Motion Simulation,R318.0
  14. Saw motor energy-saving controller for tilting sand stone processing DSP-based research and development,TM343
  15. Medium Density Fiberboard Drying System and PLC Control System Design,TP273
  16. Algorithm Research for Robot Trajectory Tracking Control,TP242
  17. Design of Intelligent Supervisory Control System for Wastewater Treatment,TP277
  18. Research of Adaptive Active Noise Control Based on Neural Network,TP183
  19. Optimal Control of Emulsion System in Cold Rolling,TP273
  20. Research on Grinding and Classification Process Control of Sijiaying Concentrator,TP29-A1

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Fuzzy control, fuzzy control system
© 2012 www.DissertationTopic.Net  Mobile