Earticle

초록

영어

Predictive functional control and multivariate PI predictive functional control is presented based on state space equation for non-linear, fast time-varying, multivariable coupling near-space vehicle attitude control system. Transforming nonlinear optimal problems into online optimization in the linear time-invariant systems and solve the control law in a rolling way. Lyapunov’s second stability theorem proved that the solved control law can ensure a certain degree of robustness of the closed-loop system. Tuning parameters of multivariable PI predictive functional controller based on particle swarm optimization algorithm. Designed near-space vehicle attitude controller and simulate it. Results show that both of the two control strategy can get good control performance, comparatively, multivariable PI predictive functional control has a better control effect. It has the advantages of non-overshoots, faster response, and smaller steady state error etc.

목차

Abstract
 1. Introduction
 2. Multivariable Predictive Functional Control Algorithm Based OnState-Space Equations
  2.1. Base Functions and Predictive Model
  2.2. Optimization Calculation
 3. Multivariable PI Predictive Functional Control Algorithm Based OnState-Space Equations
  3.1. Derivation of Multivariable PI Predictive Functional Control Algorithm
  3.2. Robust Stability Analysis of MPIPFC
 4. Spacecraft Attitude Controller Design
  4.1. Slow Loop Controller Design
  4.2. The Fast Loop Controller Design
  4.3. Control Allocation
  4.4. Particle Swarm Optimization Tuning Parameters of the Fast and Slow Controllers
 5. Aircraft Simulation
 6. Conclusions
 Acknowledgments
 7. References
  7.1. Journal Article
  7.2. Conference Proceedings and Dissertation

키워드

저자

• Zhenyu Lu [ School of Electrical and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Kai Li [ School of Electrical and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Tingya Yang [ Jiangsu Meteorological Observatory, Nanjing 210008, China ]
• Wei Guo [ School of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Jin Wang [ School of Electrical and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, 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