Open AccessDesign of Fractional-Order PID for Stabilized Sight System via Internal Model Control Approach
Author(s) -
Yaqiong Zhang,
Jiandu Guo,
Jianqiao Zhou,
Lin Yi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1635/1/012023
Subject(s) - pid controller , internal model , control theory (sociology) , robustness (evolution) , matlab , fractional calculus , computer science , operator (biology) , mathematics , control engineering , control (management) , engineering , temperature control , artificial intelligence , biochemistry , chemistry , repressor , transcription factor , gene , operating system
This paper aims at the problem of accuracy reduction of stabilized sight system caused by uncertain factors and disturbances under complex working conditions. Here, a fractional-order PID (FOPID) controller design method based on internal model control (IMC) approach is proposed for stabilized sight system. First, the IMC-PID is constructed by IMC approach, and then the fractional order is added to its differential and integral terms to obtain the FOPID. The traditional FOPID requires five parameters for tuned, while the proposed FOPID has only three tuning parameters, which can be obtained through the CRONE control technology. The optimal rational approximation algorithm (ORAA) with a high degree of fit is used to approximate the fractional-order calculus operator. Matlab simulation experiments show that the proposed controller outperforms other controllers and can obtain good robustness, disturbance rejection and tracking performance.