scholarly journals Consensus disturbance rejection control of directed multi-agent networks with extended state observer

2020 ◽  
Vol 33 (5) ◽  
pp. 1486-1493
Author(s):  
Shaopan GUO ◽  
Zhongkui LI ◽  
Yifeng NIU ◽  
Lizhen WU
2016 ◽  
Vol 62 ◽  
pp. 276-286 ◽  
Author(s):  
Nadhynee Martínez-Fonseca ◽  
Luis Ángel Castañeda ◽  
Agustín Uranga ◽  
Alberto Luviano-Juárez ◽  
Isaac Chairez

Author(s):  
Song Chen ◽  
Fengjun Yan

Dual-loop exhaust gas recirculation with a variable-geometry turbocharger is an effective architecture for achieving desired intake manifold conditions, such as the temperature, the pressure and the oxygen concentration of the intake manifold, which have critical roles in advanced combustion mode control. However, the widely used control-oriented model is derived on the basis that the heat transfer between the pipes and the gas is negligible, which means that it suffers from non-trivial errors. Simulation results show that other error sources, including the volumetric efficiency and the orifice equation, are difficult to calibrate accurately and also cause significant errors in the system, particularly in transient situations. Modified active disturbance rejection control with an extended state observer is utilized to deal with the non-linear, multiple-input multiple-output system in this paper. It is demonstrated that the performance of active disturbance rejection control mainly depends on the performance of the extended state observer. In this paper, an extended state observer, which is based on the sliding-mode concept rather than the conventional linear observer, is introduced. By taking advantage of its strong robustness, the system is decoupled into three loops. For each loop, the internal errors and the external errors, including the modelling error and the coupling effects, are lumped into one term; they are then actively estimated and cancelled out by the control input in real time. The proposed method was validated using calibrated GT-Power model simulations.


2020 ◽  
Vol 17 (4) ◽  
pp. 172988142093947
Author(s):  
Xing Li ◽  
Bingyou Liu ◽  
Lichao Wang

This study considers the problems of manipulators with high coupling, parameter uncertainties, and external disturbances. A six-axis serial manipulator control system based on active disturbance rejection control strategy is proposed without the requirement of the exact dynamic model. First, the operating circuit of the manipulator joint motor is analyzed, and the mathematical model of the direct-current torque motor is established. Second, the components of active disturbance rejection control are designed, and a new nonlinear function is selected to construct the extended state observer and nonlinear state error feedback control law. Then, Kalman filter is introduced into an extended state observer to estimate the disturbance efficiently. Finally, the proportion–integration–differentiation control, traditional active disturbance rejection control, and improved active disturbance rejection control are simulated and compared under the same input signal. The results show that the proposed control strategy has good dynamic performance and uncertain disturbance robustness, which proves the effectiveness of the proposed method.


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