Reactive Power Automatic Compensation Controller Based on PLC

2013 ◽  
Vol 753-755 ◽  
pp. 2535-2538
Author(s):  
Ya Jun Wu ◽  
Zhu Zhi Jia ◽  
Xiao Chen Jin

A high reliability, flexible reactive power automatic compensation controller based on PLC is designed, which the structure and principle of the system is explicitly specified. The controller adopts commercial PLC as the control core,TD400C as human-machine interface, and uses ABB RVT-6 power factor controller to control the switching of the capacitor. Blocking structure is used to design software, whose structure is clear and easy to debug and modify. Running result obtained from relevant application describing the novelty of reactive power compensators implemented with new technologies is also described.

2011 ◽  
Vol 63-64 ◽  
pp. 385-389
Author(s):  
Geng Huang Yang ◽  
Fei Fei Wang ◽  
Shi Gang Cui ◽  
Li Zhao ◽  
Qing Guo Meng ◽  
...  

The Electfoencephalogram (EEG) and electromyography (EMG) sampled from skin surface are the primary information to mirror the idea of human being. The human-machine interface based on EEG and EMG is used to control machine such as a robot. It is a new taste to apply this type of interface to some special condition such as an astronaut controlling the outside robot in a space ship. Digital signal processor (DSP) is used as sample EEG and EMG in the device. The feature of signal is extract by algorithm running in DSP to control the machine. The speech recognition based on fixed Chinese words is included in the device. Many tests proved that the developed device is capable to control the robot for key operation on a panel with high reliability.


JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Irwan Heryanto Eryk ◽  
Slamet Nurhadi

This research is studying the automation of substation monitoring system especially in metering equipment. It was aimed to plan and implemented the substation design that monitored with SIMATIC WinCC program. The equipments are PLC, PM-710, SIMATIC WinCC, Movicon, relay, MCB, CT and Transformers. It used 3 phase power supply connected to several load of Resistor (R),Inductor (L), and Capacitor (C). PM-710 was used to measure the outgoing load datas that connected and saved to Personal Computer (PC). The experiment were using the varied load. Base on the module, the power substation simulated with WinCC and the reading metering datas such as real power, apparent power and power factor also frequency by MOVICON that displayed in the PC monitor.


Machines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 36
Author(s):  
Simon Enjalbert ◽  
Livia Maria Gandini ◽  
Alexandre Pereda Baños ◽  
Stefano Ricci ◽  
Frederic Vanderhaegen

This paper provides an overview of Human Machine Interface (HMI) design and command systems in commercial or experimental operation across transport modes. It presents and comments on different HMIs from the perspective of vehicle automation equipment and simulators of different application domains. Considering the fields of cognition and automation, this investigation highlights human factors and the experiences of different industries according to industrial and literature reviews. Moreover, to better focus the objectives and extend the investigated industrial panorama, the analysis covers the most effective simulators in operation across various transport modes for the training of operators as well as research in the fields of safety and ergonomics. Special focus is given to new technologies that are potentially applicable in future train cabins, e.g., visual displays and haptic-shared controls. Finally, a synthesis of human factors and their limits regarding support for monitoring or driving assistance is proposed.


1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.


Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1527
Author(s):  
R. Senthil Kumar ◽  
K. Mohana Sundaram ◽  
K. S. Tamilselvan

The extensive usage of power electronic components creates harmonics in the voltage and current, because of which, the quality of delivered power gets affected. Therefore, it is essential to improve the quality of power, as we reveal in this paper. The problems of load voltage, source current, and power factors are mitigated by utilizing the unified power flow controller (UPFC), in which a combination of series and shunt converters are combined through a DC-link capacitor. To retain the link voltage and to maximize the delivered power, a PV module is introduced with a high gain converter, named the switched clamped diode boost (SCDB) converter, in which the grey wolf optimization (GWO) algorithm is instigated for tracking the maximum power. To retain the link-voltage of the capacitor, the artificial neural network (ANN) is implemented. A proper control of UPFC is highly essential, which is achieved by the reference current generation with the aid of a hybrid algorithm. A genetic algorithm, hybridized with the radial basis function neural network (RBFNN), is utilized for the generation of a switching sequence, and the generated pulse has been given to both the series and shunt converters through the PWM generator. Thus, the source current and load voltage harmonics are mitigated with reactive power compensation, which results in attaining a unity power factor. The projected methodology is simulated by MATLAB and it is perceived that the total harmonic distortion (THD) of 0.84% is attained, with almost a unity power factor, and this is validated with FPGA Spartan 6E hardware.


Author(s):  
Saverio Trotta ◽  
Dave Weber ◽  
Reinhard W. Jungmaier ◽  
Ashutosh Baheti ◽  
Jaime Lien ◽  
...  

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