원문정보
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
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