Ebook: Performance Assessment of Control Loops: Theory and Applications
- Tags: Control, Quality Control Reliability Safety and Risk
- Series: Advances in Industrial Control
- Year: 1999
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies. . . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for widerand rapid dissemination. Benchmarking is a technique first applied by Rank Xerox in the late 1970s for business processes. As a subject in the commercial arena, benchmarking thrives with, for example, a European Benchmarking Forum. It has taken rather longer for benchmarking to make the transfer to the technical domain and even now the subject is making a slow headway. Akey research step in this direction was taken by Harris (1989) who used minimum variance control as a benchmark for controller loop assessment. This contribution opened up the area and a significant specialist literature has now developed. Significant support for the methodologywas given by Honeywell who have controller assessment routines in their process control applications software; therefore, it is timely to welcome a (first) monograph on controller performance assessment by Biao Huang and Sirish Shah to the Advances in Industrial Control series.
The design of advanced control algorithms has largely preoccupied control practitioners' efforts. The rationale has been that systems which are difficult to control need advanced optimal, non-linear, adaptive or similar control algorithms for better regulation. Although there are a variety of advanced control design techniques, few techniques exist for computing objective measures of control loop performance from routine operating industrial process data. The purpose of this book is to show the reader the most recent techniques for univariate and multivariate controller performance assessment. Specifically, this text ponders questions such as the following:
Is your controller healthy?
Is it doing its job well?
How can one obtain a non-invasive or a model-free assessment of controller performance from routing closed-loop data?
The theoretical results are supported by simulation, experimental (in-laboratory) and industrial evaluations.
The design of advanced control algorithms has largely preoccupied control practitioners' efforts. The rationale has been that systems which are difficult to control need advanced optimal, non-linear, adaptive or similar control algorithms for better regulation. Although there are a variety of advanced control design techniques, few techniques exist for computing objective measures of control loop performance from routine operating industrial process data. The purpose of this book is to show the reader the most recent techniques for univariate and multivariate controller performance assessment. Specifically, this text ponders questions such as the following:
Is your controller healthy?
Is it doing its job well?
How can one obtain a non-invasive or a model-free assessment of controller performance from routing closed-loop data?
The theoretical results are supported by simulation, experimental (in-laboratory) and industrial evaluations.
Content:
Front Matter....Pages i-xxxi
Introduction....Pages 1-7
Feedback Controller Performance Assessment of Univariate Processes....Pages 9-18
Multivariate Processes: Preliminaries....Pages 19-22
Unitary Interactor Matrices and Minimum Variance Control....Pages 23-36
Estimation of the Unitary Interactor Matrices....Pages 37-55
Feedback Controller Performance Assessment: Simple Interactor....Pages 57-64
Feedback Controller Performance Assessment: Diagonal Interactor....Pages 65-80
Feedback Controller Performance Assessment: General Interactor....Pages 81-97
Feedforward & Feedback Controller Performance Assessment....Pages 99-106
Performance Assessment of Nonminimum Phase Systems....Pages 107-120
A Unified Approach to Performance Assessment....Pages 121-132
Performance Assessment: User-Specified Benchmark....Pages 133-151
Performance Assessment: LQG Benchmark....Pages 153-168
Control Loop Performance Monitoring via Model Validation....Pages 169-178
Closed-Loop Identification....Pages 179-211
Pratical Considerations and Industrial Case Studies....Pages 213-235
Back Matter....Pages 237-255
The design of advanced control algorithms has largely preoccupied control practitioners' efforts. The rationale has been that systems which are difficult to control need advanced optimal, non-linear, adaptive or similar control algorithms for better regulation. Although there are a variety of advanced control design techniques, few techniques exist for computing objective measures of control loop performance from routine operating industrial process data. The purpose of this book is to show the reader the most recent techniques for univariate and multivariate controller performance assessment. Specifically, this text ponders questions such as the following:
Is your controller healthy?
Is it doing its job well?
How can one obtain a non-invasive or a model-free assessment of controller performance from routing closed-loop data?
The theoretical results are supported by simulation, experimental (in-laboratory) and industrial evaluations.
Content:
Front Matter....Pages i-xxxi
Introduction....Pages 1-7
Feedback Controller Performance Assessment of Univariate Processes....Pages 9-18
Multivariate Processes: Preliminaries....Pages 19-22
Unitary Interactor Matrices and Minimum Variance Control....Pages 23-36
Estimation of the Unitary Interactor Matrices....Pages 37-55
Feedback Controller Performance Assessment: Simple Interactor....Pages 57-64
Feedback Controller Performance Assessment: Diagonal Interactor....Pages 65-80
Feedback Controller Performance Assessment: General Interactor....Pages 81-97
Feedforward & Feedback Controller Performance Assessment....Pages 99-106
Performance Assessment of Nonminimum Phase Systems....Pages 107-120
A Unified Approach to Performance Assessment....Pages 121-132
Performance Assessment: User-Specified Benchmark....Pages 133-151
Performance Assessment: LQG Benchmark....Pages 153-168
Control Loop Performance Monitoring via Model Validation....Pages 169-178
Closed-Loop Identification....Pages 179-211
Pratical Considerations and Industrial Case Studies....Pages 213-235
Back Matter....Pages 237-255
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