Deep Q-Network based real-time active disturbance rejection controller parameter tuning for multi-area interconnected power systems

2021 ◽  
Author(s):  
Yuemin Zheng ◽  
Qinglin Sun ◽  
Zengqiang Chen ◽  
Mingwei Sun ◽  
Jin Tao ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongtao Zhu ◽  
Xiaoting Rui ◽  
Fufeng Yang ◽  
Wei Zhu

An adaptive active disturbance rejection controller is used in the current driver design of the electromagnetic coil. Extended state observer of the 1st-order system is adopted for disturbance observation of ADRC. The supervised recursive least squares method is proposed for real-time parameters estimation, in which the excitation signal variance is used to trigger the parameter estimator. The experimental results demonstrate that ADRC combined with real-time parameter estimation simplifies the parameter tuning and improves the parameter adaptive ability.


2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Yuqi Fan ◽  
Junpeng Shao ◽  
Guitao Sun ◽  
Xuan Shao

To increase the robustness and control precision of a hydraulic quadruped robot and simultaneously enhance the dynamic and steady characteristic of the hydraulic system, an active disturbance rejection controller (ADRC) tuned using the Lévy-flight beetle antennae search algorithm (LBAS) was proposed. Moreover, the designed controller was used in the hydraulic quadruped robot to enhance the control performance and restrain the disturbances. The use of the Lévy-flight trajectory in the advanced algorithm can help increase the search speed and iteration accuracy. In the LBAS-ADRC, the parameter tuning method is adopted to develop the active disturbance rejection controller enhanced using the beetle antennae search algorithm. When implemented in the hydraulic quadruped robot, the LBAS-ADRC can ensure satisfactory dynamic characteristics and stability in the presence of external interference. In particular, in the proposed method, the ADRC parameter search problem is transformed to a sixteen-dimensional search problem, the solution of which is identified using the Lévy-flight beetle antennae search algorithm. Moreover, three different algorithms are implemented in the active disturbance rejection controller tuning problem to demonstrate the control performance of the proposed controller. The analysis results show that the proposed controller can achieve a small amplitude overshoot under complex and changeable environments.


2020 ◽  
Vol 101 ◽  
pp. 104490
Author(s):  
Amer Mešanović ◽  
Ulrich Münz ◽  
Andrei Szabo ◽  
Martin Mangold ◽  
Joachim Bamberger ◽  
...  

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