Shangyao Shi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Shangyao Shi has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Chenbo Zhao
College of Mechatronic Engineering, North University of China, Taiyuan 030051, China
1 shared publication - Luji Guo
School of Aerospace Engineering, North University of China, Taiyuan 030051, China
1 shared publication - Pengyun Chen
School of Mechanical and Electrical Engineering, North University of China, Taiyuan 030051, China
1 shared publication - Zhiqiang Zeng
School of Mechanical Engineering, North University of China, Taiyuan 030051, China
1 shared publication
Latest Publications
- Open Access
Improved Active Disturbance Rejection Control (ADRC) with Extended State Filters
To address time delay and noise problems in control systems, in this study, we integrated an extended state filter for signal filtering into an active disturbance rejection control (ADRC) system and derived an improved ADRC approach. In addition to the active anti-disturbance and active tracking estimation functions of the existing ADRC, the proposed approach also includes active filtering and active advance prediction functions, which can filter out the effect of measurement noise on system state observation while reducing the delay between the system control output and the detection of the sensor input. We verified through an evaluation in a simulation environment that the proposed approach may be expected to achieve improved control accuracy and increase the stability of closed-loop control systems.
Open AccessImproved Active Disturbance Rejection Control (ADRC) with Extended State Filters
To address time delay and noise problems in control systems, in this study, we integrated an extended state filter for signal filtering into an active disturbance rejection control (ADRC) system and derived an improved ADRC approach. In addition to the active anti-disturbance and active tracking estimation functions of the existing ADRC, the proposed approach also includes active filtering and active advance prediction functions, which can filter out the effect of measurement noise on system state observation while reducing the delay between the system control output and the detection of the sensor input. We verified through an evaluation in a simulation environment that the proposed approach may be expected to achieve improved control accuracy and increase the stability of closed-loop control systems.