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دانلود کتاب An Introduction to Process Modelling Identification and Control for Engineers
دانلود کتاب مقدمه ای بر شناسایی و کنترل مدل سازی فرآیند برای مهندسان
مشخصات کتاب
An Introduction to Process Modelling Identification and Control for Engineers
ویرایش:
نویسندگان: Rames Chandra Panda. T. Thyagarajan
سری:
ISBN (شابک) : 9781783323043, 9781783323289
ناشر: Alpha Science International, Limited
سال نشر: 2017
تعداد صفحات: 456
[457]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 16 Mb
قیمت کتاب (تومان) : 49,000
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توجه داشته باشید کتاب مقدمه ای بر شناسایی و کنترل مدل سازی فرآیند برای مهندسان نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
توضیحاتی در مورد کتاب مقدمه ای بر شناسایی و کنترل مدل سازی فرآیند برای مهندسان
این کتاب برای دانشجویان مقطع کارشناسی ارشد و همچنین فوق لیسانس شیمی، برق، شاخه های الکترونیک و ابزار دقیق رشته های مهندسی که کنترل فرآیند را به عنوان موضوع دنبال می کنند و برای تحقیق دانشجویان رشته های مشابه مفید خواهد بود. این کتاب بر روی مبانی فرآیند تمرکز دارد کنترل، شناسایی، کنترلرهای PID و تنظیم خودکار با هدف درک مفاهیم اساسی مدلسازی فرآیند، حلقه‌های بازخورد و سنتز کنترل‌کننده‌های PID با روش‌های عملی استفاده سیستم های حلقه بسته این کتاب درسی شامل 10 فصل است که از مقدمه تا مباحث پیشرفته در این زمینه شروع می شود مدلسازی فرآیند، شناسایی و کنترل برای برآوردن نیازهای دانشجویان UG/PG E
توضیحاتی درمورد کتاب به خارجی
This book is intended for under graduate as well as post graduate students of chemical, electrical, electronics and instrumentation branches of engineering disciplines pursuing process control as a subject and will be useful to research students of similar disciplines. This book focuses on the basics of process control, identification, PID controllers and autotuning with an objective to understand the basic concepts of process modeling, feedback loops and synthesis of PID controllers with practical ways of using closed-loop systems. This text book contains 10 chapters starting from introduction to advanced topics in the field of process modeling, identification and control to cater to needs of UG/PG students of E&I, ICE, Chemical, Leather and allied branches of engineering. For quick reference the required mathematical tools are presented at the appropriate places. Special emphasis is given to practice the theory with the help of examples to provide adequate software programs. Detailed closed-loop studies based on several typical case studies are also discussed. Some numerical problems are presented to understand theoretical concepts clearly. The book is written in simple sentences in an easily understandable manner. Exercise problems are also presented at the end of each chapter. The revision formula, review questions and short questions with answers are another value addition. Chapter one introduces process control explaining process, associated variables and the needs of closedloop control of stable systems covering batch, semibatch and continuous processes. General description of control schemes, regulatory & servo mechanisms, P&I diagram and steps in synthesizing control system design will be helpful to readers who have not undergone any prior course on control systems. Chapter two focuses mathematical tools for process modeling and control which will be appropriate for students without higher engineering mathematics background. Chapter three aims for process modeling which is essential for controlling a process. This will help in understanding dynamics of the system, obtaining different model structures from 1st principle & continuity equations of systems. Structures of SISO, MIMO and non-linear processes are also discussed in this chapter. Chapter 4 provides dynamic or transient information characteristics regarding a process. Trends of outputs due to changes in different types of input perturbations are also discussed in this chapter. Chapter 5 introduces methods of parametric estimations from process model of different types. It includes several important identification algorithms to obtain continuous / frequency domain transfer function models from measured input-output data sets. The estimated parameters will be useful for controller tuning and stability analysis. The structures of different modes of feedback control systems with different PID forms are presented in chapter 6. Tuning of PID controller parameters for different types of process model structures is discussed. Time, frequency domain and error based tuning criteria including autotuning features are discussed in this chapter. Frequency responses and stability analysis are presented in chapter 7. Chapter 8 provides information about valves, actuators, converters, valve sizing and smart control valves. PID enhancement incorporating direct-indirect acting control actions, anti-reset windup and advanced process control strategies are discussed in chapter 9. Case studies of closed-loop control on different practical process systems are described in chapter 10.
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