Robust H_infinity Control of Tracking Systems with Time-Varying Uncertainties

• Main Authors: Yi-Sheng Luo, 羅易聖
• Other Authors: Liang-An Zheng
• Format: Others
• Language: zh-TW
• Published: 100
• Online Access: http://ndltd.ncl.edu.tw/handle/18640377675244466127

碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 99 === This thesis proposes a robust control approach for tracking systems with time-varying uncertainties. First, weighting functions for loop shaping are chosen to combine with the original system such that a generalized plant is formed. Then, for the generalized plant, a controller is obtained by using control method. The Hybrid Taguchi-Genetic Algorithm (HTGA) is employed to find the optimal gains of the weighting functions which will lead to a stabilizing controller. Then, a sufficient condition in terms of linear matrix inequalities (LMIs) is employed to guarantee that the resulting control tracking system is asymptotically stable in the presence of time-varying uncertainties. Finally, a simulation of a missile autopilot system is given to demonstrate the use of the design approach. The results show that the designed missile system can efficiently track the reference input and ensure its stability in the presence of time-varying uncertainties.