Model of Heating Fuzzy Intelligent Control System of Large-Scale Coke Oven

2010 ◽  
Vol 29-32 ◽  
pp. 979-984 ◽  
Author(s):  
Gong Fa Li ◽  
Jian Yi Kong ◽  
Guo Zhang Jiang ◽  
Liang Xi Xie
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Large Scale ◽  
Control Method ◽  
Coke Oven ◽  
Control Model ◽  
Actual Condition ◽  
Heating Process ◽  
Flow Adjustment ◽  
Intermittent Heating

Coke oven production has the characteristics of nonlinear, large inertia, large disturbances, and highly-coup ling and so on. The control method of “intermittent heating control” is adopted in traditional heating control system of coke oven, and cannot satisfy the command of heating control on coke oven. The control principle of combining the “intermittent heating control” with the heating gas flow adjustment is adopted according to analysis the difficulty and strategy of heating control on coke oven. On the basis of studying deficiency of the existing control strategy, fuzzy compound control is proposed to establish heating intelligent control model of coke oven, which combines feedback control, feedforward control and fuzzy intelligent control. Carbonization index is used in the model to control coking management of coke oven. Then heating fuzzy intelligent control structure of coke oven is built. According to artificial experience and actual condition, fuzzy controller is designed. Fuzzy control can deal with fuzzy, inexact or uncertainty information and has great robust, which can realize intelligent control of heating process of coke oven. Better control result of temperature control is realized by fuzzy intelligent control model. The system has great practical value.

Design and Implementation of Large-Scale Temperature Stability Control System

2014 ◽  
Vol 644-650 ◽  
pp. 313-316
Author(s):  
Wen Lai Liu
Keyword(s):  
Control System ◽  
System Design ◽  
Large Scale ◽  
Control Method ◽  
Temperature Stability ◽  
Stability Control ◽  
Control System Design ◽  
Scale Temperature ◽  
Stability Control System ◽  
The Stability

large-scale temperature stability control method is studied in this paper. In the process of large-scale temperature control, the stability of control is a very important indicator. To this end, this paper proposes a large-scale temperature stability control algorithm based on hierarchical control method. Balance equation of large-scale temperature stability control is created for the effective transmission of control data. According to the constant control theory, large-scale temperature stability control system design is achieved. Experimental results show that the proposed algorithm for large-scale temperature stability control system design, can greatly improve the stability of control, and get the satisfactory results.

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.

Hybrid Active Wave/Mode Control of Space Prestressed Taut Cable Net Structures

2018 ◽  
Vol 10 (06) ◽  
pp. 1850062 ◽  
Author(s):  
Xiao-Fei Ma ◽  
Tuan-Jie Li ◽  
Zuo-Wei Wang
Keyword(s):  
Shape Control ◽  
Large Scale ◽  
Control Method ◽  
Wave Mode ◽  
Control Model ◽  
Force Balance ◽  
Control Force ◽  
Mode Control ◽  
Active Wave ◽  
Wave Control

The space environments and special mission demands require large-scale and high shape accuracy cable net structures. The vibration control is an essential issue for shape control and performance conservation of large flexible cable net structures. This paper investigates the hybrid active wave/mode control of space prestressed taut cable net structures. First, the traveling wave dynamic model of cable net structures is explored by elemental waveguide and propagation equations of cables together with force balance conditions and compatibility conditions of joints. Then, the active wave control model is established by using the assumption forms of wave controllers to adjust the mechanical boundaries of the controlled joints. Finally, the hybrid active wave/mode control model is proposed by constructing the mapping relationship between wave control force, modal damping and natural frequencies. The proposed control method is verified by a planar cable net structure and the results show that the hybrid active wave/mode control can give a better broadband vibration attenuation performance for space prestressed taut cable net structures.

Study on the Driver Control System of the Full AC Electric Stacking Forklift

2012 ◽  
Vol 271-272 ◽  
pp. 1658-1663
Author(s):  
Guo Jin Chen ◽  
Ting Ting Liu ◽  
Jing Ni ◽  
Ming Xu ◽  
Huo Qing Feng
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Method ◽  
Development Trend ◽  
Variable Frequency ◽  
Speed Sensorless ◽  
Logistics Industry ◽  
Fuzzy Neural ◽  
Composite Models ◽  
Frequency Module

Logistics Machinery is the important equipment for carrying material. The all-electric logistics machinery is a development trend in the international logistics industry today. This paper studies the intelligent control model and algorithm for the driver control system of the full AC electric stacking forklift, proposes the composite models of the fuzzy neural network’s identification NNM and the Self-tuning PID NNC, and designs the variable frequency module of the speed sensorless vector control. Through the organic integration of the variable frequency module, the speed reducer and the AC motor, we develop the integrated machine used for the driver control system of the full AC electric stacking forklift. The paper put forward the intelligent control method of the variable frequency which combines the load’s characteristic recognition with the control to achieve the best matching, the highest efficacy and the lowest energy consumption of the entire transmission system.

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.

Control Algorithm Study on Cantilever Machine Teaching-Playback

2014 ◽  
Vol 635-637 ◽  
pp. 1212-1215
Author(s):  
Ruo Han Liu ◽  
Chun Hua Li
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Control Method ◽  
Tracking Error ◽  
Cutting Parameters ◽  
Configuration Software ◽  
Monitoring Site ◽  
Software Monitoring ◽  
Operation Panel

In order to realize intelligent control, the cutting trajectory of TBM research machine adopts the principle of teaching and reappearing cutting trajectory control method, combining with the control system of teaching and reappearing and SIMATIC C7, operation interface is realized by using configuration software monitoring, monitoring site visually through the operation panel parameters change, timely adjust the cutting parameters. The experimental results show that the tracking error within the scope of the permit. The method to improve the intelligence of machine cutting control provides a reference basis.

A Study of Predictive Control of Energy-Saving of Heating Process

2011 ◽  
Vol 328-330 ◽  
pp. 1810-1813
Author(s):  
Xue Li Zhu ◽  
Shu Xian Zhu ◽  
Sheng Hui Guo
Keyword(s):  
Control System ◽  
Error Correction ◽  
Energy Saving ◽  
Real Time ◽  
Predictive Control ◽  
Control Method ◽  
Heating System ◽  
Heating Power ◽  
Heating Process ◽  
Power Station

This paper presents a predictive control method of heating system of heating power station. Firstly, the forecast of heating load is introduced using time series analysis, and the obtained result is used as an energy-saving initial value of predictive control system. Secondly, model simplification method is given and immediate control law is derived, the predictive model order is decreased from N to n. Simplification model satisfies the demand of real-time property of the control system. Thirdly, predictive error correction is used to replace error correction to implement the correction of optimum control of the system, which can improve adaptability and robustness of the system. Finally, simulation of heating system of heating power station is conducted and the results prove that the algorithm is effective in ensuring real-time control, improving tracking and robustness property.

Simulation on the Energy Saving Control Model of Large-Scale Power Control

2014 ◽  
Vol 602-605 ◽  
pp. 1190-1193
Author(s):  
Rui Xiang Fan ◽  
Wei Xia ◽  
Bin Liu
Keyword(s):  
Genetic Algorithms ◽  
Control System ◽  
Energy Consumption ◽  
Power Control ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Energy Saving Control

During the large transformers operation, the proportion of the non-essential energy consumption is higher. In order to reduce the energy consumption in power control process, a new design method of energy-saving control in large-scale power control process based on adaptive linear genetic algorithms. Loss model of power control is established firstly. Based on the relevant data of the model, energy-saving control in large-scale power control process can be achieved. Experimental results show that the improved algorithm can effectively reduce the energy consumption in large-scale power control system, and meet the actual demand of power control.

The Research on Intelligent Control Method for EHP System

2012 ◽  
Vol 580 ◽  
pp. 12-15 ◽  
Author(s):  
Yi Wan ◽  
Qi Bo Cai ◽  
Huan Wang
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Intelligent Control ◽  
Internal Model ◽  
High Speed ◽  
Control Method ◽  
Internal Model Control ◽  
Support Vector ◽  
Proportional Control ◽  
Self Adaptive

Optimized machine learning algorithm is applied to control modeling of high-speed electric-hydraulic proportional system of high nonlinear in this paper, a identification model of high-speed electric-hydraulic proportional system is built based on support vector machines, fusion intelligent method of dynamic self-adaptive internal model control and predictive control is realized for high-speed electric-hydraulic proportional control system. Internal model and inverse controller model are online adjusted together. Simulation shows the satisfactory tracking effect by intelligent technology of dynamic self-adaptive internal control and predictive control based on the support vector machine, the dynamic characteristic is greatly improved by the intelligent control strategy for high-speed electric-hydraulic proportional control system, good tracking and control effect is reached in condition of high frequency response. It provides a new intelligent control method for high-speed electric-hydraulic proportional system.

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