Performance comparison of Simplified Feedback Linearization control with classical dual loop control for single-phase grid-connected inverters

2016 ◽  
Author(s):  
Sante Pugliese ◽  
Rosa A. Mastromauro ◽  
Francesco A. Gervasio ◽  
Silvio Stasi
Keyword(s):  
Feedback Linearization ◽  
Single Phase ◽  
Performance Comparison ◽  
Loop Control ◽  
Feedback Linearization Control

scholarly journals An Efficient Control Algorithm for Single Phase Power Factor Pre regulators to Achieve Fast Transient Response and Unity Power Factor

2011 ◽  
pp. 14-18
Author(s):  
Hardik K. Lakhani ◽  
N. Arun
Keyword(s):  
Power Factor ◽  
Feedback Linearization ◽  
Control Algorithm ◽  
Single Phase ◽  
Current Loop ◽  
Loop Control ◽  
Fast Transient Response ◽  
Control Functions ◽  
Control Rules ◽  
Error Dynamics

In this paper, an approach to generate robust control algorithm for the single phase PFC boost converter is presented. This control rules provide fast output response while maintaining high power factor. This approach is based on derivation of the control functions for both current loop and voltage loop which is multi-loop control structure. Designing of the control parameters are based on the required transient and the steady-state responses. Due to application of feedback linearization the performance of the of this control scheme is robust under all practical conditions. This method eliminates the nonlinearity and the dependence of the error dynamics on the input disturbance. Experiments are conducted to evaluate the control performance.

scholarly journals Feedback Linearization and Sliding Mode Control for VIENNA Rectifier Based on Differential Geometry Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Xiang Lu ◽  
Yunxiang Xie ◽  
Li Chen
Keyword(s):  
Differential Geometry ◽  
Sliding Mode Control ◽  
Control Strategy ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
Current Loop ◽  
Loop Control ◽  
Mode Control ◽  
Vienna Rectifier ◽  
Feedback Linearization Control

Aiming at the nonlinear characteristics of VIENNA rectifier and using differential geometry theory, a dual closed-loop control strategy is proposed, that is, outer voltage loop using sliding mode control strategy and inner current loop using feedback linearization control strategy. On the basis of establishing the nonlinear mathematical model of VIENNA rectifier ind-qsynchronous rotating coordinate system, an affine nonlinear model of VIENNA rectifier is established. The theory of feedback linearization is utilized to linearize the inner current loop so as to realize thed-qaxis variable decoupling. The control law of outer voltage loop is deduced by utilizing sliding mode control and index reaching law. In order to verify the feasibility of the proposed control strategy, simulation model is built in simulation platform of Matlab/Simulink. Simulation results verify the validity of the proposed control strategy, and the controller has a strong robustness in the case of parameter variations or load disturbances.

scholarly journals Nonlinear Model Predictive Horizon for Optimal Trajectory Generation

Robotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 90
Author(s):  
Younes Al Younes ◽  
Martin Barczyk
Keyword(s):  
Nonlinear Model ◽  
Feedback Linearization ◽  
Optimization Problem ◽  
Closed Loop ◽  
Trajectory Generation ◽  
Loop Model ◽  
Loop Control ◽  
Feedback Linearization Control ◽  
Dynamic Obstacle ◽  
Reference Trajectories

This paper presents a trajectory generation method for a nonlinear system under closed-loop control (here a quadrotor drone) motivated by the Nonlinear Model Predictive Control (NMPC) method. Unlike NMPC, the proposed method employs a closed-loop system dynamics model within the optimization problem to efficiently generate reference trajectories in real time. We call this approach the Nonlinear Model Predictive Horizon (NMPH). The closed-loop model used within NMPH employs a feedback linearization control law design to decrease the nonconvexity of the optimization problem and thus achieve faster convergence. For robust trajectory planning in a dynamically changing environment, static and dynamic obstacle constraints are supported within the NMPH algorithm. Our algorithm is applied to a quadrotor system to generate optimal reference trajectories in 3D, and several simulation scenarios are provided to validate the features and evaluate the performance of the proposed methodology.

Square of Voltage Out-Loop Based Feedback Linearization Control of Voltage Source Converter (VSC) in SMES

2013 ◽  
Vol 732-733 ◽  
pp. 1216-1221 ◽  
Author(s):  
Xiao Kang Dai ◽  
Bu Han Zhang ◽  
Yi Chen
Keyword(s):  
Feedback Linearization ◽  
Magnetic Energy ◽  
Control Variable ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Loop Control ◽  
Variable Expression ◽  
Feedback Linearization Control ◽  
Dc Bus ◽  
Bus Voltage

To improve the response characteristic of the VSC in SMES (Superconducting Magnetic Energy Storage) with wide load disturbance, a new square of voltage out-loop based feedback linearization control strategy is proposed for the control of VSC. The input variable was controlled by a combining of square of voltage out-loop based direct voltage control and current inner-loop control to achieve fast stabilization of DC bus voltage and accurate tracking of power of PCC. Stability and dynamic response characteristics of the system were verified by simulation results. It is shown that the proposed strategy can improve the DC bus voltage transient response with load step change, with simplified control variable expression and reduced calculating burden.

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