Stability Enhancing Voltage Feed-Forward Inverter Control Method to Reduce the Effects of Phase-locked Loop and Grid Impedance

2020 ◽  
pp. 1-1
Author(s):  
Zhiwei Xie ◽  
Yandong Chen ◽  
Wenhua Wu ◽  
Wenlan Gong ◽  
Josep M. Guerrero
Keyword(s):  
Control Method ◽  
Phase Locked Loop ◽  
Feed Forward ◽  
Grid Impedance

Single-Phase Grid-Connected PV System Based on Multi-Carrier PWM and Power Feed-Forward

2011 ◽  
Vol 347-353 ◽  
pp. 763-769
Author(s):  
Qin Jin Zhang ◽  
Yan Cheng Liu ◽  
Chuan Wang
Keyword(s):  
Dynamic Response ◽  
Single Phase ◽  
Control Method ◽  
High Harmonic ◽  
Harmonic Distortion ◽  
Input Power ◽  
Pv System ◽  
Forward Algorithm ◽  
Feed Forward ◽  
Grid Current

In the traditional single-phase grid-connected photovoltaic(PV) system, the output grid-current has the shortcomings of high harmonic distortion rate and slow dynamic response. In order to solve these problems, an improved method on the inverter is proposed. The inverter consists of full-bridge circuit and auxiliary circuit. With the multi-carrier PWM, the inverter produces output voltages in five levels, which can reduce the THD of the grid current. At the same time , this paper presents the power feed-forward algorithm based on traditional control method. The output power of PV array is added to the reference of current close-loop as power feed-forward, which improves the dynamic response to the input power changes. At last, the simulation results show the effectiveness of the proposed method.

Active Vibration Control Based on Self-Sensing for Unknown Target Structures by Direct Velocity Feedback With Adaptive Feed-Forward Cancellation

2013 ◽  
Author(s):  
Shota Yabui ◽  
Itsuro Kajiwara ◽  
Ryohei Okita
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Method ◽  
Active Vibration Control ◽  
Mechanical Resonance ◽  
Velocity Feedback ◽  
Feed Forward ◽  
Periodic Disturbance ◽  
Active Vibration ◽  
The Voice

This paper presents active vibration control based on self-sensing for unknown target structures by direct velocity feedback (DVFB) with enhanced adaptive feed-forward cancellation (AFC). AFC is known as an adaptive control method, and the adaptive algorithm can estimate a periodic disturbance. In a previous study, an enhanced AFC was developed to compensate for a non-periodic disturbance. An active vibration control based on self-sensing by DVFB can suppress mechanical resonance by using relative velocity between the voice coil actuator and a target structure. In this study, the enhanced AFC was applied to compensate disturbance for the self-sensing vibration control system. The simulation results showed the vibration control system with DVFB and enhanced AFC could suppress mechanical resonance and compensate disturbances.

scholarly journals Adaptive Gain Control Method of a Phase-Locked Loop for GNSS Carrier Signal Tracking

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Zhibin Luo ◽  
Jicheng Ding ◽  
Lin Zhao
Keyword(s):  
Control Method ◽  
Tracking Error ◽  
Gain Control ◽  
Phase Locked Loop ◽  
Satellite System ◽  
Error Characteristic ◽  
Loop Gain ◽  
Target Movement ◽  
Signal Tracking ◽  
Global Navigation Satellite

The global navigation satellite system (GNSS) has been widely used in both military and civil fields. This study focuses on enhancing the carrier tracking ability of the phase-locked loop (PLL) in GNSS receivers for high-dynamic application. The PLL is a very popular and practical approach for tracking the GNSS carrier signal which propagates in the form of electromagnetic wave. However, a PLL with constant coefficient would be suboptimal. Adaptive loop noise bandwidth techniques proposed by previous researches can improve PLL tracking behavior to some extent. This paper presents a novel PLL with an adaptive loop gain control filter (AGCF-PLL) that can provide an alternative. The mathematical model based on second- and third-order PLL was derived. The error characteristics of the AGCF-PLL were also derived and analyzed under different signal conditions, which mainly refers to the different combinations of carrier phase dynamic and signal strength. Based on error characteristic curves, the optimal loop gain control method has been achieved to minimize tracking error. Finally, the completely adaptive loop gain control algorithm was designed. Comparable test results and analysis using the new method, conventional PLL, FLL-assisted PLL, and FAB-LL demonstrate that the AGCF-PLL has stronger adaptability to high target movement dynamic.

scholarly journals Feed-forward control of elastic-joint industrial robot based on hybrid inverse dynamic model

2021 ◽  
Vol 13 (9) ◽  
pp. 168781402110381
Author(s):  
Mei Zaiwu ◽  
Chen Liping ◽  
Ding Jianwan
Keyword(s):  
Dynamic Model ◽  
Analytical Model ◽  
Control Method ◽  
Data Driven ◽  
Parameter Uncertainties ◽  
Inverse Dynamic ◽  
Inverse Dynamic Model ◽  
Feed Forward ◽  
Elastic Joint ◽  
Feed Forward Control

A novel feedforward control method of elastic-joint robot based on hybrid inverse dynamic model is proposed in this paper. The hybrid inverse dynamic model consists of analytical model and data-driven model. Firstly, the inverse dynamic analytical model of elastic-joint robot is established based on Lie group and Lie algebra, which improves the efficiency of modeling and calculation. Then, by coupling the data-driven model with the analytical model, a feed-forward control method based on hybrid inverse dynamics model is proposed. This method can overcome the influence of the inaccuracy of the analytical inverse dynamic model on the control performance, and effectively improve the control accuracy of the robot. The data-driven model is used to compensate for the parameter uncertainties and non-parameter uncertainties of the analytical dynamic model. Finally, the proposed control method is proved to be stable and the multi-domain integrated system model of industrial robot is developed to verify the performance of the control scheme by simulation. The simulation results show that the proposed control method has higher control accuracy than the traditional torque feed-forward control method.

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