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Image of Industrial PID Controller Tuning

Electronic Resource

Industrial PID Controller Tuning

Rojas,José David - Personal Name; Vilanova,Ramon - Personal Name; Arrieta, Orlando - Personal Name;

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Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted absolute value of the error) but without taking advantage of available multi-objective optimization methods. The book does make use of multi-objective optimization to account for several sources of disturbance, applying them to a more realistic problem: how to select the tuning of a controller when both servo and regulator responses are important.

The authors review the different deterministic multi-objective optimization methods. In order to ameliorate the consequences of the computational expense typically involved in their use—specifically the generation of multiple solutions among which the control engineer still has to choose—algorithms for two-degree-of-freedom PID control are implemented in MATLAB®. MATLAB code and a MATLAB-compatible program are provided for download and will help readers to adapt the ideas presented in the text for use in their own systems. Further practical guidance is offered by the inclusion of several examples of common industrial processes amenable to the use of the authors’ methods.

Researchers interested in non-heuristic approaches to controller tuning or in decision-making after a Pareto set has been established and graduate students interested in beginning a career working with PID control and/or industrial controller tuning will find this book a valuable reference and source of ideas.


Availability
Inventory Code Barcode Call Number Location Status
1908001005EB0001611628.5 Roj iCentral Library (OPAC)Available
Detail Information
Series Title
Advances in Industrial Control
Call Number
628.5 Roj i
Publisher
Switzerland : Springer Cham., 2021
Collation
XIV, 148p.:Ill
Language
English
ISBN/ISSN
978-3-030-72311-8
Classification
628.5
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
-
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Industrial PID Controller Tuning
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