Mitigation of SSR in Series-Compensated DFIG-Based Wind Farms with STATCOMs using a Nonlinear Backstepping Control Scheme

2020 ◽  
Author(s):  
Tushar Kanti Roy ◽  
Subarto Kumar Ghosh ◽  
Md Shamim Anower ◽  
Md Apel Mahmud ◽  
Rajesh Kumar ◽  
...  
Keyword(s):  
Wind Farms ◽  
Backstepping Control ◽  
Control Scheme ◽  
In Series ◽  
Nonlinear Backstepping Control

scholarly journals Understanding the Origin of SSR in Series-Compensated DFIG-Based Wind Farms: Analysis Techniques and Tuning

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
R. Moreno-Sanchez ◽  
C. A. Nunez-Gutierrez ◽  
N. Visairo-Cruz ◽  
J. Hernandez-Ramirez ◽  
J. Segundo-Ramirez
Keyword(s):  
Wind Farms ◽  
Analysis Techniques ◽  
In Series

NONLINEAR BACKSTEPPING CONTROL FOR THE FUEL DIFFUSION LAG IN FUSION REACTORS

2002 ◽  
Vol 35 (1) ◽  
pp. 113-118 ◽  
Author(s):  
Eugenio Schuster ◽  
Miroslav Krstić ◽  
George Tynan
Keyword(s):  
Backstepping Control ◽  
Fusion Reactors ◽  
Nonlinear Backstepping Control

Grounding Fault in Series-Connection-Based Offshore Wind Farms: Fault Clearance

2020 ◽  
Vol 35 (9) ◽  
pp. 9357-9367
Author(s):  
Gaopeng Guo ◽  
Kunpeng Zha ◽  
Jiao Zhang ◽  
Zhibing Wang ◽  
Fan Zhang ◽  
...  
Keyword(s):  
Wind Farms ◽  
Offshore Wind ◽  
Series Connection ◽  
Offshore Wind Farms ◽  
In Series ◽  
Fault Clearance

scholarly journals Nonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation

2018 ◽  
Vol 3 (3) ◽  
pp. 133-142
Author(s):  
Abderrahmen KIRAD ◽  
Said Grouni ◽  
Omar MECHALI
Keyword(s):  
Permanent Magnet ◽  
High Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Backstepping Control ◽  
Position Estimation ◽  
Nonlinear Feedback ◽  
Precise Knowledge ◽  
The Stability ◽  
Nonlinear Backstepping Control

This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.

Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization- based backstepping control with sliding mode extended state observer

2020 ◽  
Vol 42 (9) ◽  
pp. 1675-1689 ◽  
Author(s):  
Yingxun Wang ◽  
Yan Ma ◽  
Zhihao Cai ◽  
Jiang Zhao
Keyword(s):  
Obstacle Avoidance ◽  
Trajectory Tracking ◽  
Sliding Mode ◽  
Backstepping Control ◽  
Extended State Observer ◽  
Grey Wolf ◽  
Extended State ◽  
Grey Wolf Optimization ◽  
Control Scheme ◽  
Virtual Target

In this paper, a new swarm intelligent-based backstepping control scheme is proposed for quadrotor trajectory tracking and obstacle avoidance. First, the sliding mode extended state observer (SMESO) is used to estimate different disturbances, and the tracking differentiator (TD) is integrated to enhance the performance of backstepping control scheme. Then, the chaotic grey wolf optimization (CGWO) is developed with chaotic initialization and chaotic search to optimize the parameters of attitude and position controllers. Further, the virtual target guidance approach is proposed for quadrotor trajectory tracking and obstacle avoidance. Comparative simulations and Monte Carlo tests are carried out to demonstrate the effectiveness and robustness of the CGWO-based backstepping control scheme and virtual target guidance approach.

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