- 板带轧制中的辊缝和厚度高精度控制(英文版)
- - 作者：张飞//肖雄|责编:于昕蕾//王雨童
  - 出版社：冶金工业
  - ISBN：9787524001171
  - 出版日期：2025/03/01
  - 页数：255
- 售价：39.6

内容大纲
本书从实用角度出发，较全面介绍了板带生产过程辊缝和厚度的高精度控制技术，主要内容包括厚度控制技术进展、高精度液压辊缝控制技术、高精度热连轧厚度控制技术、高精度中厚板厚度控制技术、高精度冷轧厚度控制技术等内容。既对国际上先进的板带生产技术和控制方法进行了介绍和分析，又结合了国内板带生产企业的实际情况，提出了具有本土特色的解决方案。有助于国内企业借鉴国际先进经验，同时也为国际同行了解中国板带生产技术提供了窗口。本书可供从事冶金自动化工作的工程技术人员、高等院校自动化专业的师生阅读，对相关专业的工程技术人员也有一定的参考价值。
作者介绍
目录
Chapter 1 Review of the Advancement in Thickness Control Technology
  1.1 Control strategy of hydraulic servo system
    1.1.1 Current status and development trend of recent control strategy applications
    1.1.2 Characteristics of recent electro   hydraulic servo systems and requirements for control strategies
    1.1.3 Nonlinear and exact linearized optimal control of hydraulic servo systems
  1.2 Fundamental formula of rolling mathematical model
    1.2.1 Elastic deformation and spring equation of the stand
    1.2.2 Plastic deformation of rolled parts with plasticity equation
    1.2.3 Rolling force model
    1.2.4 Causes of thickness fluctuations
  1.3 Traditional thickness control strategies
    1.3.1 Hydraulic position control
    1.3.2 Dynamic settings
    1.3.3 Quick monitoring
    1.3.4 Taper head
    1.3.5 Feedforward AGC
    1.3.6 Feedback AGC
    1.3.7 Monitor AGC
    1.3.8 Mass flow AGC
Chapter 2 Hydraulic Gap Control of Rolling Mill
  2.1 Adaptive compensation of hydraulic servo control system
    2.1.1 Introduction
    2.1.2 Hydraulic cylinder
    2.1.3 Servo valve
    2.1.4 Rate of change in pressure equation
    2.1.5 Step response analysis
    2.1.6 Conclusion
  2.2 Hydraulic gap control of rolling mill based on self   tuning fuzzy PID
    2.2.1 Introduction
    2.2.2 Modeling of the HGC system
    2.2.3 Model identification of the HGC system
    2.2.4 Fuzzy PID design
    2.2.5 Simulation and field test results
    2.2.6 Conclusion
  2.3 Active disturbance rejection synchronous control for both sides of the hydraulic servo position system of the rolling mill
    2.3.1 Introduction
    2.3.2 System description and problem   posing
    2.3.3 Design of active disturbance rejection synchronous controller
    2.3.4 Simulation and experiment research
    2.3.5 Conclusion
Chapter 3 Thickness Control of Hot Strip Mill
  3.1 Online thickness prediction based on kernel partial least squares
    3.1.1 Introduction
    3.1.2 Algorithm introduction
    3.1.3 Models and applications
    3.1.4 Conclusion
  3.2 Online thickness prediction of hot   rolled strip based on ISSA   OSELM
    3.2.1 Introduction
    3.2.2 Basic algorithm
    3.2.3 Data processing and online prediction model design

    3.2.4 Algorithm simulation and performance verification
    3.2.5 Conclusion
  3.3 Online segmented thickness prediction based on IBA   XGBoost
    3.3.1 Introduction
    3.3.2 Materials and methods
    3.3.3 Online prediction model design
    3.3.4 Experiment on thickness prediction
    3.3.5 Discussion
    3.3.6 Conclusion
  3.4 An online algorithm for roll eccentricity compensation
    3.4.1 Introduction
    3.4.2 Compensation algorithm
    3.4.3 Control concept
    3.4.4 Applications
    3.4.5 Conclusion
  3.5 Expert PI controller with dead time compensation of monitor AGC
    3.5.1 Introduction
    3.5.2 Filtered Smith predictor
    3.5.3 FSP for monitor AGC
    3.5.4 Expert PI controller design
    3.5.5 Applications
    3.5.6 Conclusion
Chapter 4 Thickness Control of Plate Rolling Mill
  4.1 Thickness control system for medium and heavy plates
    4.1.1 Overview
    4.1.2 System scheme design
    4.1.3 Automation system structure and hardware configuration
    4.1.4 Basic automation level (L1) functionality
    4.1.5 Process automation level (L2) functionality
    4.1.6 Conclusion
  4.2 Research and application on controlled rolling and cooling for medium and heavy plates
    4.2.1 Overview
    4.2.2 Process overview
    4.2.3 Interstand cooling mathematical model
    4.2.4 Hierarchical computer control system
    4.2.5 Field application and conclusion
  4.3 Rolling force prediction in heavy plate rolling based on uniform differential neural network
    4.3.1 Introduction
    4.3.2 Mathematical model of plate rolling
    4.3.3 Differential evolution algorithm
    4.3.4 Rolling force prediction model based on uniform differential neural network
    4.3.5 Simulation analysis
    4.3.6 Conclusion
  4.4 Thickness control strategies and theoretical concepts of steel plate rolling
    4.4.1 Introduction
    4.4.2 Thickness control overview
    4.4.3 Gap compensation
    4.4.4 Applications
    4.4.5 Conclusion
Chapter 5 Thickness Control of Cold Rolling Mill

  5.1 AGC system for experimental cold rolling mill
    5.1.1 Overview
    5.1.2 Equipment and its performance
    5.1.3 Main function
    5.1.4 Process flow
    5.1.5 Characteristics of experimental rolling mill
    5.1.6 Conclusion
  5.2 AGC system for single stand double coiling aluminum cold rolling mill
    5.2.1 Overview
    5.2.2 Technological process
    5.2.3 Causes of thickness fluctuation of aluminum sheet strip
    5.2.4 Principles and types of automatic thickness control
    5.2.5 Conclusion
  5.3 Application of comprehensive AGC system for aluminum twin   stand cold rolling mill
    5.3.1 Introduction
    5.3.2 Mathematical model
    5.3.3 Thickness control system
    5.3.4 Practical results
    5.3.5 Conclusion
  5.4 Research of Smith monitor AGC based on active disturbance rejection control
    5.4.1 Introduction
    5.4.2 Monitor AGC model
    5.4.3 ADRC-Smith predictor for monitor AGC
    5.4.4 Modified ADRC design
    5.4.5 Simulation analysis
    5.4.6 Conclusion
  5.5 Electro-hydraulic servo system of aluminum cold strip mill based on ADRC
    5.5.1 Introduction
    5.5.2 System model description
    5.5.3 ADRC for electro-hydraulic servo system design
    5.5.4 Frequency domain analysis
    5.5.5 Simulation analysis
    5.5.6 Conclusion
References

内容大纲

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