工业自动化专业英语(修订版)(高等学校教材)
分類: 图书,英语与其他外语,职业/行业英语,科技英语,
品牌: 王树青
基本信息·出版社:化学工业出版社
·页码:313 页
·出版日期:2001年
·ISBN:9787502526870
·条形码:9787502526870
·包装版本:2版
·装帧:平装
·开本:16
·正文语种:英语
·丛书名:高等学校教材
产品信息有问题吗?请帮我们更新产品信息。
内容简介本书共分六章。第1章为工业过程控制原理,包括过程控制入门、反馈控制原理、自动控制系统稳定性分析、工业生产过程自动控制系统设计和控制器参数整定等。第2章为工业过程参数测量和执行器,主要介绍工业生产过程参数的测量,如液面、压力、流量和温度的测量及各种执行机构等。第3章为工业过程模型化和系统辨识,其中包括数学模型的建立、系统辨识、最小二乘原理与迭代计算及系统辨识实践步骤等。第4章为复杂工业过程的先进控制,包括前馈和比值控制、纯滞后补偿控制、自适应控制、推理控制和模型预测控制等。第5章为计算机与自动化,其中包括集散控制系统与可编程控制器,A/D和D/A转换,微型计算机、数字化和基于PC控制器等。第6章为智能控制,包括智能控制技术、神经网络控制、模糊逻辑应用、专家系统和人工智能在过程控制中的应用等。
工业自动化及相关专业本科生及同等程度的专业技术人员。
目录
CHAPTER 1THE PRINCIPLE OF INDUSTRIAL PROCESS CONTROL
Unit 1Introduction to Process Control
Reading Material 1: Overview of Control Engineering
Unit 2What is Feedback and What are Its Effects?
Reading Material 2: Root-Locus Technique
Unit3Stability of Closed-Loop Control Systems
Reading Material 3: Frequency-Domain Analysis
Unit 4The Design Process of Control System
Reading Material 4: Control System Design Considerations
Unit 5Controller Tuning
Reading Material 5: Autotuning
CHAPTER 2PROCESS PARAMETERS MEASUREMENT AND FINAL OPERATION
SYSTEMS
Unit 6Introduction
Reading Material 6: Accuracy, Sensitivity and Readability of Meters
Unit 7Level and Pressure Measurement
Reading Material 7: Level Measurement
Unit 8Flow Measurement
Reading Material 8: Flow Measurement in Conduits
Unit 9Temperature Measurement
Reading Material 9: Resistance Temperature Detector
Unit 10Final Operating Systems
Reading Material 10: Various Valve Body
CHAPTER 3PROCESS MODELING AND SYSTEM IDENTIFICATION
Unit 11Introduction
Reading Material 11: Industrial Modeling Process
Unit 12Mathematical Model & System Identification
Reading Material 12: The Modeling Process
Unit 13The Principle of Least Squares
Reading Material 13: General Aspects of Industrial Process Modeling
Unit 14Examples of Using Identification Methods
Reading Material 14: Examples of Practical Process Models
Unit 15The Practical Side of System Identification
Reading Material 15: Application of Genetic Programming to Nonlinear
Modeling
CHAPTER 4COMPLEX AND ADVANCED PROCESS CONTROL
Unit 16Feedforward and Ratio Control
Reading Material 16: Cascade Control
Unit 17Time-Delay Compensation and Inferential Control
Reading Material 17: Selective Control/Override Systems
Unit 18Adaptive Control Systems
Reading Material 18: Statistical Quality Control
Unit 19Model Based Predictive Control
Reading Material 19: Model Predictive Cascade Control and IMC Cascade
Control
Unit 20Supervisory Control Systems
Reading Material 20: Intelligent Supervisory Control and
Optimization
CHAPTER 5COMPUTER AND AUTOMATION
Unit 21Introduction to Computer Controlled Systems
Reading Material 21: Computer-Based and Network-Compatible
Instrumentation
Unit 22Digitization and Computer Based Controller
Reading Material 22: The z-transform and Inverse z-transfor
Unit 23Analog to Digital and Digital to Analog Conversion
Reading Material 23: Application Report on ADC
Unit 24Microcomputer
Reading Material 24: Automated Chemical Analysis Using a
Robotic Arm
Unit 25Modern Industrial Process Control System
Reading Material 25: 'Lon Works' Network Technology
CHAPTER 6ARTIFICIAL INTELLIGENCE TECHNIQUES AND
APPLICATIONS
Unit 26Artificial Intelligence Techniques
Unit 27Use Neural Networks for Problem Solving
Unit 28Applications of Fuzzy Logic
Unit 29Expert Systems
Unit 30AI in Process Control
CHAPTER 7AUTOMATIC CONTROL SYSTEMS
Unit 31Mathematical Modeling of Physical Systems
Reading Material 26: Conversion Between Translation and Rotational
Motions and Power Transfer
Unit 32DC Motors in Control Systems
Reading Material 27: Mathematical Modeling of PM DC Motors
Unit 33Sun-Seeker System
Reading Material 28. Design of a Thickness and Flatness Control
System for Metal Rolling
Unit 34Modern Power Systems
Reading Material 29. Operational Power Control Systems
Unit 35Introduction to Industrial Robots
Reading Material 30: Walking Machine Technology-Designing the
Control Systems of an Advanced Six-Legged Machine
APPENDIXES
Appendix 1Sources of Information in Process Control
Appendix 2 总词汇表
……[看更多目录]
序言出版系列的专业英语教材,是许多院校多年来共同的愿望。在高等教育面向21世纪的改革中,学生基本素质和实际工作能力的培养受到了空前重视。专业英语水平是当今大学毕业生能力的重要组成部分。在此背景下,教育部(原国家教委)几次组织会议研究加强外语教学问题,制订有关规范,使外语教学更加受到重视。教材是教学的基本要素之一,与基础英语相比,专业英语教学的教材问题此时显得尤为突出。
国家主管部门的重视和广大院校的呼吁引起了化学工业出版社的关注,他们及时地与原化工部教育主管部门和全国化工类专业教学指导委员会请示协商后,组织全国十余所院校成立了大学英语专业阅读教材编委会。在经过必要的调研后,根据学校需求,编委会优先从各校教学(交流)讲义中确定选题,同时组织力量开展编审工作。本套教材涉及的专业主要包括化学工程与工艺、石油化工、机械工程、信息工程、工业自动化、应用化学及精细化工、生化工程、环境工程、制药工程、材料科学与工程、化工商贸等。
根据“全国部分高校化工类及相关专业大学英语专业阅读教材编审委员会”的要求和安排编写的《工业自动化专业英语》教材,可供工业自动化及相关专业本科生使用,也可以作为同等程度(通过大学英语四级)的专业技术人员自学教材。
文摘Guideline 9.
Avoid recycling of disturbances.
As Newell and Lee have noted,it is preferable not to manipulate an inlet stream or arecycle stream,because disturbances tend to be propagated forward or recycled back to theprocess.This problem can be avoided by manipulating a utility stream to absorb disturbancesor an exit stream that allows the disturbances to be passed downstream,provided that theexit stream changes do not upset downstream process units.
Note that these guidelines may be in conflict.For example,a comparison of the effectsof two inputs on a single controlled variable may indicate that one has a larger steady—stategain(Guideline 6)but slower dynamics(Guideline 7).In this situation a trade—off betweenstatic and dynamic considerations must be made in selecting the appropriate manipulatedvariable from the two input candidates.Selection Of Measured Variahles
Safe,efficient operation of processing plants is made possible by the on—linemeasurement of key process variables.Clearly,output variables that are used as controlledvariables should be measured.0ther output variables are measured to provide additionalinformation to the plant operators or for use in model—based control schemes such assupervisory control or inferential control①.It is also desirable to measure selected inputvariables as well as output variables,since recorded measurements of manipulated inputsprovide useful information for tuning controllers and troubleshooting control loops.Also,measurements of disturbance inputs can be used in feedforward control schemes.
In choosing which outputs to measure and in locating measurement points,both staticand dynamic considerations are important.