Tuning and Control Loop Performance, Fourth Edition

Tuning and Control Loop Performance, Fourth Edition

Author: Gregory K. McMillan

Publisher: Momentum Press

Published: 2014-12-18

Total Pages: 754

ISBN-13: 1606501712

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Tuning and Control Loop Performance, Fourth Edition provides the knowledge to eliminate the misunderstandings, realize the difference between theoretical and industrial application of PID control, address practical difficulties, improve field automation system design, use the latest PID features, and ultimately get the best tuning settings that enables the PID to achieve its full potential. The proportional-integral-derivative (PID) controller is the heart of every control system in the process industry. Given the proper setup and tuning, the PID has proven to have the capability and flexibility needed to meet nearly all of industry’s basic control requirements. However, the information to support the best use of these features has fallen behind the progress of improved functionality. Additionally, there is considerable disagreement on the tuning rules that largely stems from a misunderstanding of how tuning rules have evolved and the lack of recognition of the effect of automation system dynamics and the incredible spectrum of process responses, disturbances, and performance objectives.


Autotuning of PID Controllers

Autotuning of PID Controllers

Author: Cheng-Ching Yu

Publisher: Springer Science & Business Media

Published: 2006-05-11

Total Pages: 268

ISBN-13: 1846280370

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Recognising the benefits of improved control, the second edition of Autotuning of PID Controllers provides simple yet effective methods for improving PID controller performance. The practical issues of controller tuning are examined using numerous worked examples and case studies in association with specially written autotuning MATLAB® programs to bridge the gap between conventional tuning practice and novel autotuning methods. The extensively revised second edition covers: • Derivation of analytical expressions for relay feedback responses. • Shapes of relay responses and improved closed-loop control and performance assessment. • Autotuning for handling process nonlinearity in multiple-model-based cases. • The impact of imperfect actuators on controller performance. This book is more than just a monograph, it is an independent learning tool applicable to the work of academic control engineers and of their counterparts in industry looking for more effective process control and automation.


PID Controller Tuning Using the Magnitude Optimum Criterion

PID Controller Tuning Using the Magnitude Optimum Criterion

Author: Konstantinos G. Papadopoulos

Publisher: Springer

Published: 2014-11-01

Total Pages: 303

ISBN-13: 3319072633

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An instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm. This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity. It shows the reader how such loops achieve zero steady-position, velocity, and acceleration errors and are thus able to track fast reference signals. The theoretical development takes place in the frequency domain by introducing a general-transfer-function-known process model and by exploiting the principle of the magnitude optimum criterion. It is paralleled by the presentation of real industrial control loops used in electric motor drives. The application of the proposed tuning rules to a large class of processes shows that irrespective of the complexity of the controlled process the shape of the step and frequency response of the control loop exhibits a specific performance. This specific performance, along with the PID explicit solution, formulates the basis for developing an automatic tuning method for the PID controller parameters which is a problem often met in many industry applications—temperature, pH, and humidity control, ratio control in product blending, and boiler-drum level control, for example. The process of the model is considered unknown and controller parameters are tuned automatically such that the aforementioned performance is achieved. The potential both for the explicit tuning rules and the automatic tuning method is demonstrated using several examples for benchmark process models recurring frequently in many industry applications.