Earticle

초록

영어

Against EMLA (Electromagnetic Linear Actuator) in the long-running, the changed parameters of actuator coil resistance and inductance caused by temperature rise resulted in degradation of control performance, and parameters recondition in the inverse system control program. By using parameter identification method based on recursive least squares method (RLSM), the adaptive inverse system control is implemented in electromagnetic linear actuator. Under Matlab/Simulink it establishes the simulation model to simulate online identification process and the adaptive inverse control system strategy which achieve the control effect when the parameters change, and the test data are identified off-line verification. The results show that it is able to accurately identify the actuator coil resistance and inductance parameters, and at the same time, it can identify system’s dynamic mass, viscous friction coefficient and disturbance force of load. Finally, the test platform was built to verify, the identification results was used to control parameters online real-time. And the parameters identification was used in the practical application of inverse system control, implemented system’s adaptive control, improved system’s robustness in long run.

목차

Abstract
 1. Introduction
 2. The Establishment and Simulation of Identification Model
  2.1. The Parameter Identification Theory of Least Square Method
  2.2. The Parameter Estimation of System
  2.3. Identification Results
 3. Adaptive Inverse System Control
  3.1 The Principle of Inverse System
  3.2 The Adaptive Inverse System Controller
  3.3 Simulation Result
 4. Experimental Verification
 5. Conclusion
 References

키워드

저자

• Zhu Jianhui [ School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094 China ]
• Chang Siqin [ School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094 China ]

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