scholarly journals Simulation System of Wheat Broad Width Intelligent Precision Seeding

CONVERTER ◽  
2021 ◽  
pp. 819-828
Author(s):  
Zheng Chao Lv Et al.

In order to overcome the deficiencies of miss-seeding and random seeding in the current ground wheel driven seeding,a set of intelligent control simulation system for wheat precision seeding was studied and built.The system adopts self-designed seeding apparatus and intelligent control method to complete broad width and precision seeding of wheat. The system uses keys to set parameters such as seeding rate, thousand-grain weight and seeding space, etc.According to the measured value of the operating speed of the planter by the encoder, the speed of the DC motor is dynamically adjusted by controlling the pulse width modulation (PWM) of the chip, so as to achieve the purpose of changing the operating speed of the seeder and keeping the seeding rate and seed spacing unchanged. The DC motor is poweredby tractor’s own battery to drive seeding, and all information is displayed on the LCD.The simulation test of the rotation speed measurement of the seeding shaft shows that there is only slighterror caused by vibration between the corresponding theoretical and actual rotation speeds of the seeding shaft for different operating speeds when the intelligent control system of wide planting of wheat is used for seeding, which can meet the requirements of precision seeding.

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.


2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  

This paper introduces the implementation of intelligent motion control and planning for autonomous underwater vehicle (AUV). Previously developed control system features intelligent motion control and planning subsystem, based on artificial neural networks. It allows detecting and avoiding moving obstacles in front of the AUV. The motion control subsystem uses position-trajectory control method to position AUV, move from point to point and along given path with given speed. Control system was tested in the multi-module simulation complex. Simulation showed good results – AUV successfully achieved given goals avoiding collisions not only with static obstacles, but also with mobile ones. That allows using the proposed control system for the groups of vehicles. Besides simulation, control system was implemented in hardware. AUV prototype passed tests in Azov Sea and proved its efficiency.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Ya Li ◽  
Renhuai Liu ◽  
Yuanyang Zou ◽  
Yingshuang Ma ◽  
Guoxin Wang

In this paper, we state a combining programming approach to optimize traffic signal control problem. The objective of the model is to minimize the total queue length with weight factors at the end of each phase. Then, modified Twin Gaussian Process (MTGP) is employed to predict the arrival rates for the traffic signal control problem. For achieving automatic control of the traffic signal, an intelligent control method of the traffic signal is proposed in view of the combining method, that is to say, the combining method of MTGP and LP, called MTGPLP, is embraced in the intelligent control system. Furthermore, some numerical experiments are proposed to test the validity of the model and the MTGPLP approach. In particular, the results of numerical experiments show that the model is effective with different arrival rates, departure rates, and weight factors and the combining method is successful.


Author(s):  
L Vladareanu ◽  
V. Vlădareanu ◽  
N. Pop ◽  
M. Migdalovici ◽  
M. Boșcoianu ◽  
...  

<p>The firefighting robot control using intelligent Extenics control interfaces ICEx developed by versatile, intelligent and portable robot VIPRO platform is presented. Subsequently, VIPRO platform architecture, the innovative versatile, intelligent, portable platform, is applied on firefighting robots VIP- FiR&amp;FiTRo, Extenics intelligent control and Universe of Discourse in an Extenics Transformation are detailed.  The Extenics Control Method with Fuzzy Smoothing is developed and tested using a simple DC motor configuration in the Matlab / Simulink programming environment. A sequence for the Intelligent Control Interface Code integrated into the VIPRO is presented. The results prove the possibilities for tweaking and optimizing by intelligent Extenics control developed on VIPRO platform in order to obtain improved performance are virtually limitless.</p>


2014 ◽  
Vol 989-994 ◽  
pp. 3419-3422
Author(s):  
Lei Wang

Through the market investigation was designed based on the environmental monitoring system, intelligent control system and simulation system of security system, intelligent Home Furnishing system, this system uses CC2530 and sensors to build a ZigBee network, and realizes the remote monitoring through GPRS module, configuration of the PC software for the system, realized the function of intelligent furniture system through the actual test, that, the system is stable and reliable, practical.


2013 ◽  
Vol 655-657 ◽  
pp. 1530-1532
Author(s):  
Jian Zhang ◽  
Chuan Qi Wang ◽  
Wei Rong Wang ◽  
Xue Jing Gu

Currently, it is quite popular that to acquire water straightly from the source to supply the city, in China. However, all this kind of water needs to be cleaned before using; therefore, an efficient system for filtering water in the water-drawing procedure has been addressed in this paper. The system adopted the configuration software as the interface for management which was installed in the upper computer, and various PLCs as the controllers for the master stations and sub-stations respectively. The control method and the structure of its hardware and software in electrical system would be discussed in detail, and the paper would provide a general intelligent control system model for filtering water.


2021 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao

Abstract Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production efficiency of the remanufacturing assembly (reassembly) systems. First, the state space model of reassembly is constructed and deduced to reveal the quality transfer and coupling mechanism of reassembly process. An optimization model of the reassembly scheme is established for minimizing the comprehensive cost. Then, an intelligent control system for reassembly process is proposed, which is a real-time monitoring and dynamic compensation response to address abnormal quality and to achieve intelligent control of reassembly process. The data model, information perception and fusion technology, real-time monitoring and dynamic compensation of reassembly quality are studied and implemented. Finally, the prototype intelligent control system of reassembly is developed, which illustrates its practicability offering a technical support for sustainability of remanufacturing. It can monitor the abnormal quality in real time and make dynamic compensation response, and realize the intelligent control of reassembly process. It plays a positive role in improving quality, reducing cost and enhancing customer satisfaction. This intelligent control method is more suitable for the reassembly system of complex machinery, especially under uncertain operating environment.


2014 ◽  
Vol 716-717 ◽  
pp. 1591-1594
Author(s):  
Wen Hua Chen ◽  
Qiang Cai ◽  
Xu Wang

In order to achieve the integrated process of wastewater treatment, this research designs a kind of intelligent control system that can monitoring water quality parameters in real-time, which is small, convenient control, high efficiency and low consumption. The acquisition station and control station of the system are based on STM32F107 and industrial control tablet, combined with IASBR process to achieve simultaneous removal of organic matter, nitrogen, phosphorus and COD in wastewater. This system can monitor water temperature, pH, ORP, DO and other water quality parameters. Aiming at the uncertainty of the DO in process control, the fuzzy control method is proposed to realize the rationalization of aeration, meet the needs of wastewater biochemical treatment of the DO. It has a certain reference value to the intelligent development of integrated wastewater treatment.


2020 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao

Abstract Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. This paper proposes a data-driven intelligent control system for improving the production and resource efficiency of the remanufacturing assembly systems. First, an optimization model of the reassembly scheme is established for minimizing the quality loss and comprehensive cost. Remanufactured parts are measured, grouped, coded, and dimensional chain calculated based on the data acquisition and processing technology. Then, an intelligent control method for remanufacturing assembly process is proposed, which is a real-time monitoring and dynamic compensation response to abnormal quality to achieve intelligent control of reassembly process. The intelligent control information system that include information perception and fusion technology, real-time monitoring and dynamic compensation architecture are studied and implemented through data-driven technologies. Finally, a case study illustrates its practicability offering a technical support for sustainability of remanufacturing.


Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1618
Author(s):  
Ruixue Zhai ◽  
Zhaoxu Jiao ◽  
Yashuai Han ◽  
Jun Zhao ◽  
Gaochao Yu

The flattening and asymmetry of a pipe end section seriously affects the welding quality between pipes, therefore the calibration process for pipe end to improve roundness is essential. Because the calibration for a pipe end involves local elastic-plastic deformation for the end effect, it is still difficult to establish an accurate theoretical model. The reasonable and intelligent control method is nevertheless an effective means to improve the production efficiency. In this paper, an internal expansion over bending and calibration (IEOBC) process is introduced. According to the characteristics of the process, the structure of the mobile intelligent calibration machine for large pipe ends is designed, and the intelligent control hardware system of the machine is built. Based on the LabVIEW software platform, an intelligent control software system for the IEOBC process is developed. A three-step control strategy is combined with pipe size detection and ovality recognition. The intelligent prediction and execution of the calibration process parameters are realized. The experimental results show that the intelligent control system has good stability and accuracy, and the ovality can be controlled within 0.5%.


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