From Plant Data to Process Control: Ideas for Process Identification and PID Design

by Liuping Wang

Overview

Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizin

Product Details

ISBN-13:	9781040159521
Publisher:	CRC Press
Publication date:	08/31/2000
Sold by:	Barnes & Noble
Format:	eBook
Pages:	240
File size:	2 MB

Table of Contents

1. Introduction 2. Modelling from Noisy Step Response Data Using Laguerre Fuctions 3. Least Squares and the PRESS Statistic using Orthogonal Decomposition 4. Frequency Sampling Filters in Process Identification 5. From FSF Models to Step Response Models 6. New Frequency Domain PID Controller Design Method 7. Tuning Rules for PID Controllers 8. Recursive Estimation from Relay Feedback Experiments; Bibliography; Index