Control algorithm for port power imbalance in two-stage, N-port modular multilevel cascaded photovoltaic inverters

2017 ◽  
Author(s):  
S. Marti ◽  
H. Krishnaswami
Keyword(s):  
Control Algorithm ◽  
Power Imbalance ◽  
Two Stage

Visual Comfort Control for Building Energy Management System

2012 ◽  
Vol 512-515 ◽  
pp. 2838-2841
Author(s):  
Shin Yen Lin ◽  
Wei Yuan Chen
Keyword(s):  
Energy Management ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Building Energy ◽  
Fine Tuning ◽  
Visual Comfort ◽  
Two Stage ◽  
Building Energy Management ◽  
Venetian Blind

In this paper, we propose a two-stage energy saving control algorithm to resolve the visual comfort control problem of building energy management systems (BEMS). The first stage control method consists of a fuzzy controller to control the venetian blind so as to exploit the outdoor luminance as much as possible while avoiding the sun glare. To remedy the possible imperfection caused by the fuzzy controller, a follow up fine tuning step is designed to adjust the outputs of the venetian blind resulted from the fuzzy controller. The second stage control is to determine whether to turn on the light based on the luminance measured by the sensor after the first stage control so as to save electricity. We have simulated the proposed two-stage control algorithm and demonstrate that the electricity saving can be up to 61% in the tested room.

scholarly journals Study on the Control Algorithm of Two-Stage DC-DC Converter for Electric Vehicles

2014 ◽  
Vol 6 ◽  
pp. 203793 ◽  
Author(s):  
Changhao Piao ◽  
Chao Jiang ◽  
Hongtao Qiao ◽  
Chongdu Cho ◽  
Sheng Lu
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
High Efficiency ◽  
Sliding Mode ◽  
Fast Response ◽  
Switching Frequency ◽  
Large Signal ◽  
Two Stage ◽  
Good Reliability ◽  
Simulation And Experiment

The fast response, high efficiency, and good reliability are very important characteristics to electric vehicles (EVs) dc/dc converters. Two-stage dc-dc converter is a kind of dc-dc topologies that can offer those characteristics to EVs. Presently, nonlinear control is an active area of research in the field of the control algorithm of dc-dc converters. However, very few papers research on two-stage converter for EVs. In this paper, a fixed switching frequency sliding mode (FSFSM) controller and double-integral sliding mode (DISM) controller for two-stage dc-dc converter are proposed. And a conventional linear control (lag) is chosen as the comparison. The performances of the proposed FSFSM controller are compared with those obtained by the lag controller. In consequence, the satisfactory simulation and experiment results show that the FSFSM controller is capable of offering good large-signal operations with fast dynamical responses to the converter. At last, some other simulation results are presented to prove that the DISM controller is a promising method for the converter to eliminate the steady-state error.

Research on Limit-Trajectory Over-Modulation Strategy of Two Stage Matrix Converter

2014 ◽  
Vol 599-601 ◽  
pp. 1648-1651
Author(s):  
Jing Lu ◽  
Ming Shen
Keyword(s):  
Pulse Width ◽  
Control Algorithm ◽  
Pulse Width Modulation ◽  
Poor Quality ◽  
Matrix Converter ◽  
Two Stage ◽  
Memory Space ◽  
Look Up Table ◽  
Linear Modulation

Aim at solving the problem is poor quality of waveforms and that of complicated modulation strategy in two stage matrix converter. The method is that Limit-Trajectory over-modulation strategy is adopted in inverter to ensure linear modulation in all over-modulation regions and space vector pulse width modulation is adopted in rectifier. This simpler control algorithm reduces memory space and linear calculation is instead of look-up table. Simulation show that the voltage transfer ratio can be improved from 0.866 to 0.95 and the quality of output waveforms is greatly enhanced.

scholarly journals Path Planning and Control for Multiple AGVs Based on Improved Two-Stage Traffic Scheduling

2009 ◽  
Vol 3 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Lou Peihuang ◽  
◽  
Wu Xing ◽  
Wang Jiarong
Keyword(s):  
Path Planning ◽  
Motion Control ◽  
Control Algorithm ◽  
Scheduling Algorithm ◽  
Path Following ◽  
Traffic Scheduling ◽  
Two Stage ◽  
Planning And Control ◽  
Adaptive Motion ◽  
And Control

An improved two-stage traffic scheduling algorithm for path planning and conflict avoidance of multiple AGVs (Automated Guided Vehicle) is combined with an adaptive motion control algorithm for path following of a single AGV in this paper, in order to implement an integrated planning and control system. A genetic algorithm (GA) is used for feasible path planning both offline and online. Multiple objectives and constraints are added to the online GA when some digital map routes cannot be used due to unavoidable conflict. The conflict-free policy we propose changes the speed or route of the AGV with a lower priority to make the conflict settled. Adaptive motion control enables individual AGV to follow the planned paths at any given speed. The planned paths and given speed are the information links connecting traffic scheduling and motion control. Numerical simulation confirms the effectiveness of our traffic scheduling algorithm and the adaptability of the motion control algorithm.

Physical simulation of a two-stage control algorithm for an FMS

1990 ◽  
Vol 18 (4) ◽  
pp. 535-545 ◽  
Author(s):  
Zilla Sinuany-Stern ◽  
Dmitri Golenko-Ginzburg
Keyword(s):  
Control Algorithm ◽  
Physical Simulation ◽  
Two Stage
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