板帶軋製中的輥縫和厚度高精度控制=High Precision Control of Roll Gap and Thic

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書名：板帶軋製中的輥縫和厚度高精度控制=High Precision Control of Roll Gap and Thickness in Plate and Strip Rolling
ISBN：9787524001171
出版社：冶金工業
著編譯者：張飛 肖雄
頁數：255
所在地：中國大陸 *此為代購商品
書號：1719054
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【台灣高等教育出版社簡體書】 板帶軋製中的輥縫和厚度高精度控制=High Precision Control of Roll Gap and Thickness in Plate and Strip Rolling 787524001171 張飛 肖雄

內容簡介

本書從實用角度出發，較全面介紹了板帶生產過程輥縫和厚度的高精度控制技術，主要內容包括厚度控制技術進展、高精度液壓輥縫控制技術、高精度熱連軋厚度控制技術、高精度中厚板厚度控制技術、高精度冷軋厚度控制技術等內容。既對國際上先進的板帶生產技術和控制方法進行了介紹和分析，又結合了國內板帶生產企業的實際情況，提出了具有本土特色的解決方案。有助於國內企業借鑒國際先進經驗，同時也為國際同行了解中國板帶生產技術提供了窗口。本書可供從事冶金自動化工作的工程技術人員、高等院校自動化專業的師生閱讀，對相關專業的工程技術人員也有一定的參考價值。

目錄

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
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