Enhanced Technologies for PV Output Control Method

2018 ◽  
Vol 138 (12) ◽  
pp. 803-806
Author(s):  
Kazuhiko OGIMOTO ◽  
Yasuhiro HAYASHI ◽  
Shuichi ASHIDATE
2014 ◽  
Vol 494-495 ◽  
pp. 1377-1380
Author(s):  
Yu Lian Jiang ◽  
Jian Chang Liu ◽  
Shu Bin Tan

In view of the process of automatic flatness control and automatic gauge control that is a nonlinear system with multi-dimensions, multi-variables, strong coupling and time variation, a novel control method called self-tuning PID with diagonal recurrent neural network (DRNN-PID) based on Q learning is proposed. It is able to coordinate the coupling of flatness control and gauge control agents to get the satisfactory control requirements without decoupling directly and amend output control laws by DRNN-PID adaptively. Decomposition-coordination is utilized to establish a novel multi-agent system for coordination control including flatness agent, gauge agent and Q learning agent. Simulation result demonstrates the validity of our proposed method.


2016 ◽  
Vol 82 (835) ◽  
pp. 15-00555-15-00555 ◽  
Author(s):  
Masahito KAWAI ◽  
Shin'ya OBARA ◽  
Manabu OKUDA ◽  
Ryohei SHIMIZU ◽  
Yoshinobu KIKUCHI ◽  
...  

2005 ◽  
Vol 53 (8) ◽  
pp. 2481-2486 ◽  
Author(s):  
J. Legarda ◽  
J. Presa ◽  
E. Hernandez ◽  
H. Solar ◽  
J. Mendizabal ◽  
...  

Author(s):  
Hasmah Mansor ◽  
Ammar Nor Azlin ◽  
Teddy Surya Gunawan ◽  
Mahanijah Md Kamal ◽  
Ahmad Zawawi Hashim

In Malaysia, most agriculture industries are still using conventional method to operate. All routines in monitoring and control of chicken poultry farm, for example, utilise man power where the source and energy are very limited. However, the demand from consumers towards the agricultural output is increasing day by day and requires more advanced farming technology in order to obtain maximum efficiency. This paper is focused on the development of smart chicken poultry farm to provide monitoring and control of the farm condition. The electronics, embedded systems and wireless technology are integrated with farm monitoring. Using Master-Slave concept, sensors are used to measure the ambient temperature, ammonia and humidity of the hall of chicken poultry for each slave. The sensors’ readings are then transmitted wirelessly over radio frequency by serial communication using HC-12 RF module to master for further data processing. The design process of both master and slave involved the interfacing of microprocessor, ATMEL ATMega328 with several analogue sensors, LCD, buzzer, relay output, monetary push button and light indicator. Based on the readings from the sensors, the microcontroller produced the output which is connected to the fan for better air ventilation in the chicken poultry farm. Furthermore, PID controller has been integrated to optimize the output control method, hence optimizing hall condition which results to better output for the farm. The system has been successfully implemented and tested at Myra Farm &amp; Services, located at Kalumpang, Tanjung Malim, Perak, Malaysia.<em><span style="font-size: 9pt; font-family: Arial, sans-serif;" lang="EN-MY">In Malaysia, most agriculture industries are still using conventional method to operate. All routines in monitoring and control of chicken poultry farm, for example, utilise man power where the source and energy are very limited. However, the demand from consumers towards the agricultural output is increasing day by day and requires more advanced farming technology in order to obtain maximum efficiency. This paper is focused on the development of smart chicken poultry farm to provide monitoring and control of the farm condition. The electronics, embedded systems and wireless technology are integrated with farm monitoring. Using Master-Slave concept, sensors are used to measure the ambient temperature, ammonia and humidity of the hall of chicken poultry for each slave. The sensors’ readings are then transmitted wirelessly over radio frequency by serial communication using HC-12 RF module to master for further data processing. The design process of both master and slave involved the interfacing of microprocessor, ATMEL ATMega328 with several analogue sensors, LCD, buzzer, relay output, monetary push button and light indicator. Based on the readings from the sensors, the microcontroller produced the output which is connected to the fan for better air ventilation in the chicken poultry farm. Furthermore, PID controller has been integrated to optimize the output control method, hence optimizing hall condition which results to better output for the farm. The system has been successfully implemented and tested at Myra Farm &amp; Services, located at Kalumpang, Tanjung Malim, Perak, Malaysia.</span></em>


Vestnik MEI ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 20-28
Author(s):  
Galaktion V. Shvedov ◽  
◽  
Sirodzhiddin R. Chorshanbiev ◽  
Shokhin D. Dzhuraev ◽  
◽  
...  

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