Autotuning Of Pid Controllers

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Autotuning of PID Controllers

Author: Cheng-Ching Yu
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-05-11
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 Control for Industrial Processes

Author: Mohammad Shamsuzzoha
language: en
Publisher: BoD – Books on Demand
Release Date: 2018-09-12
PID Control for Industrial Processes presents a clear, multidimensional representation of proportional - integral - derivative (PID) control for both students and specialists working in the area of PID control. It mainly focuses on the theory and application of PID control in industrial processes. It incorporates recent developments in PID control technology in industrial practice. Emphasis has been given to finding the best possible approach to develop a simple and optimal solution for industrial users. This book includes several chapters that cover a broad range of topics and priority has been given to subjects that cover real-world examples and case studies. The book is focused on approaches for controller tuning, i.e., method bases on open-loop plant tests and closed-loop experiments.