Earticle

초록

영어

In the networked control system, the control interference, measurement noise and time delay make traditional digital PID algorithm not reach stable state. On the basis of simple digital PID algorithm, Kalman filter is first introduced, the effect of the interference and noise is decreased, and stability is improved. Then RBF (Radial Basis Function) neural network is used, Jacobian array is computed, the three parameters of PID algorithm are adjusted. Furthermore, the resistance integral saturation is used to limit the size of control quantity. Finally the simulation research on a DC (Direct Current) motor is done, and the simulation results show the effectiveness of the proposed algorithm when time delay, noise and interference are all large.

목차

Abstract
 1. Introduction
 2. System Model
 3. Proposed Control Algorithm
  3.1. PID controller and its deficiencies
  3.2. PID Controller Based on RBF Neural Network
  3.3. RBF Neural Network
  3.4. Kalman filter
  3.5. Resistance integral saturation
 4. Simulation
 References

키워드

저자

• Haitao Zhang [ Electronic and Information Engineering College, Henan University of Science and Technology ]
• Jinbo Hu [ Electronic and Information Engineering College, Henan University of Science and Technology ]
• Wenshao Bu [ Electronic and Information Engineering College, Henan University of Science and Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605