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Über dieses Buch

Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction

The process industries have played a significant role in the European economy. Due to the ever increasing demands on higher production quality, system performance and economic benefit, modern industrial processes become more and more complicated.
Hao Luo

Chapter 2. Basics of Process Monitoring Techniques

As discussed in the introduction, residuals are essential and play a key role in process monitoring systems. By observing the deviation between the actual measurement and its redundancy, real-time monitoring of the status of the industrial automation processes can be performed.
Hao Luo

Chapter 3. Basics of FTC Structure

The goal of a control system is to make the plant behave in a desired way by manipulating the control input. The algorithm for manipulating the control input based on available process information is called controller. Despite the widespread academic research on advanced control methods and techniques, many control tasks in industrial automation processes are successfully tackled by designing PID controllers using classical control theory.
Hao Luo

Chapter 4. PnP Process Monitoring and Control Architecture

To meet the demands for the frequent maintenance and modifications of modern industrial processes, a simple, reliable and practical PnP solution to industrial automation processes is valuable. Although many research has been reported in the literature (Kambhampati et al., 2006; Stoustrup, 2009; Dasgupta et al., 2012; Riverso et al., 2013; Bendtsen et al., 2013; Bodenburg and Lunze, 2013) the scalability and modularity of the control systems are not sufficiently considered.
Hao Luo

Chapter 5. Real-Time Configuration Techniques for PnP Process Monitoring

In Chapter 4, aiming at solving the formulated PnP control problem, a PnP-PMCA is proposed and its industrial implementation as well as corresponding working principles are explained. In this chapter, based on the proposed PnP-PMCA, the PnP process monitoring module in CL is studied into detail.
Hao Luo

Chapter 6. Real-Time Configuration Techniques for PnP Performance Optimization

In Chapter 5, based on the proposed PnP-PMCA, the PnP process monitoring module has been discussed. Parallel to the previous chapter, in this chapter, the study on the PnP process control module in CL is expressed.
Hao Luo

Chapter 7. Benchmark Study and Real-Time Implementation

In this chapter, the application of the proposed PnP-PMCA together with the PnP control strategies are demonstrated though an industrial rolling mill benchmark process and the real-time implementation on a Brushless Direct Current (BLDC) motor test rig. Proposed PnP control strategies are demonstrated in different case studies.
Hao Luo

Backmatter

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