Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

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.

Implementation of Intelligent Control System for Autonomous Underwater Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Underwater Vehicle ◽  
Intelligent Control System ◽  
Azov Sea ◽  
Complex Simulation ◽  
Point To Point

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.

An Intelligent Control System for Digital Workshop Production

2009 ◽  
Vol 16-19 ◽  
pp. 75-83 ◽  
Author(s):  
Ju Jiang Cao ◽  
Yan Li
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Radio Frequency Identification ◽  
Wireless Lan ◽  
Production Control ◽  
Level Control ◽  
Bottom Level ◽  
Intelligent Control System ◽  
Key Enabling Technologies

In general, production control of digital workshops is a complicated systematical engineering. Because of lacking the methods and means of acquiring the manufacturing data in real time, the traditional production control methods cannot satisfy the real production control requirement of digital workshops. In this paper, we put forward an intelligent control system for digital workshop production. The main contributions include three aspects: Firstly, we introduce and adopt Radio Frequency Identification (RFID) technology as a means to acquire the manufacturing information in real time produced by the bottom-level manufacturing devices. Secondly, we develop the wcPML (workshop control with Physical Markup Language) and utilize it to act as a media to realize the information visualized description and transmission between the top-level control systems and bottom-level manufacturing sites of workshops. Thirdly, we adopt Java Web technology and wireless LAN to build the infrostructure for the intelligent control system for workshop production. Some key enabling technologies for the intelligent control system also are presented and described following with some concluding remarks.

Design of Water Level Intelligent Control System Based on SCM

2014 ◽  
Vol 602-605 ◽  
pp. 1395-1398 ◽  
Author(s):  
Min Zhang
Keyword(s):  
Control System ◽  
Water Level ◽  
Real Time ◽  
Intelligent Control ◽  
Pressure Sensor ◽  
Level Control ◽  
Small Water ◽  
Intelligent Control System ◽  
Control Interface ◽  
The Difference

A water level automatic control system based on SCM AT89C52 as a control core is designed in this paper. The system can automatically detect the water level by using a pressure sensor and can realize the intelligent control of water-level according to the difference between the real-time water level and the preset water level by using a big and a small water valves controlled by electric relays. At the same time, the system also has the functions of presupposition and real-time displaying of water level. The control system has the characteristics of simple intuitive control interface and good human-computer interaction. Protues simulation proved that this system achieve water level control well.

scholarly journals An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

2021 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Coupling Mechanism ◽  
Real Time Monitoring ◽  
Dynamic Compensation ◽  
Positive Role ◽  
Intelligent Control System

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.

Design of the Intelligent Control System Integration of Wastewater Treatment

2014 ◽  
Vol 716-717 ◽  
pp. 1591-1594
Author(s):  
Wen Hua Chen ◽  
Qiang Cai ◽  
Xu Wang
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Control System ◽  
Intelligent Control ◽  
High Efficiency ◽  
Control Method ◽  
Reference Value ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Intelligent Control System

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.

Supercavitating Vehicle LSSVM Multiple Intelligent Control

2011 ◽  
Vol 138-139 ◽  
pp. 93-98
Author(s):  
Jia Song ◽  
Xiao Qiang Qi
Keyword(s):  
Control System ◽  
Least Squares ◽  
Intelligent Control ◽  
Control Method ◽  
Support Vector ◽  
Loop Control ◽  
Precise Control ◽  
Supercavitating Vehicle ◽  
Control Scheme ◽  
Adaptive Ability

According to the conditions of supercavitating vehicle stable control problems, the massive uncertain factors caused by reactions between the vehicle and cavity, and the control system real-time request, the paper presents a supercavitating vehicle stable navigation least squares support vector multiple intelligent control scheme. The scheme makes full use of the nonlinear mapping ability, self-learning adaptability and parallel information processing of the least squares support vector machine. Combining with fuzzy control method, complementary advantages, the closed-loop control has been formed. The simulation shows that the control system has good adaptive ability and robustness. The supercavitating movement stability and precise control realizes even in the situation that difficult to obtain an accurate model.

Application of GA-FNC in Crystallizer Liquid Level Control System

2011 ◽  
Vol 199-200 ◽  
pp. 1777-1780
Author(s):  
Ming Li ◽  
Da Yong Yang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Steel Casting ◽  
Fuzzy Controller ◽  
Liquid Level ◽  
Level Control ◽  
Intelligent Control System ◽  
Casting System ◽  
The Stability ◽  
Self Learning

This article discusses the control strategy of the steel casting system which possesses the characteristics of large inertia, time-varying and nonlinear. Aiming at getting the minimum deviation of liquid level, the control strategy uses the genetic algorithm to off-line optimize the parameters (cij,bj) of the Gaussian membership function and the network structure of fuzzy controller which affect the overall system firstly. Then, BP algorithm is used to online regulate and optimize the weight parameters of the control output which affect the system partly. Finally, the intelligent control system of the liquid level which is based on GA-FNC is simulated. The results show that the method can enhance the ability of self-learning and robustness of the system greatly and improve the stability of steel casting system significantly.

scholarly journals Data-driven remanufacturing assembly intelligent control system for improving resource and production efficiency

2020 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Sustainable Manufacturing ◽  
Data Driven ◽  
Real Time Monitoring ◽  
Dynamic Compensation ◽  
Intelligent Control System

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.

scholarly journals Intelligent Control System of Internal Expansion over Bending and Calibration (IEOBC) Process for Large Pipe Ends

Symmetry ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1618
Author(s):  
Ruixue Zhai ◽  
Zhaoxu Jiao ◽  
Yashuai Han ◽  
Jun Zhao ◽  
Gaochao Yu
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Effective Means ◽  
Calibration Process ◽  
Labview Software ◽  
Intelligent Control System ◽  
Internal Expansion ◽  
Stability And Accuracy

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%.

Design and Simulation of Automatic Control System for Feed-Drier

2014 ◽  
Vol 548-549 ◽  
pp. 990-994
Author(s):  
Shu Yu Di ◽  
Huan Yu Chi
Keyword(s):  
Control System ◽  
Water Content ◽  
Intelligent Control ◽  
Frequency Conversion ◽  
Control Method ◽  
Experimental Studies ◽  
Drying Time ◽  
Intelligent Control System ◽  
Online Detecting ◽  
Protein Feed

Based on the research on the dynamic changes of the water content in the drying stages of using Alcohol to produce high-protein feed DDGS, advanced intelligent control method is proposed and water content in the feed and the drying time are used as the main control parameter. On the basis of one for there frequency conversion and PLC, intelligent control system for the drier fan is designed to realize the efficient control of quality online detecting and recognition in the drying process. Many problems such as low accuracy, large wastage, high cost and so on are solved and thereby the work efficiency of the drying unit is enhanced. On the basis of simulation, several test-beds were built, and a large number of experimental studies. This system proves to be the most efficient with drying and optimizing the dryer index at the different stages. The calculated results indicate that the drying method has drying efficient and energy saving features.

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