Relay Tuning of PID Controllers Relay Tuning of PID Controllers
Advances in Industrial Control

Relay Tuning of PID Controllers

For Unstable MIMO Processes

    • 87,99 €
    • 87,99 €

Description de l’éditeur

This book presents comprehensive information on the relay auto-tuning method for unstable systems in process control industries, and introduces a new, refined Ziegler-Nichols method for designing controllers for unstable systems. The relay auto-tuning method is intended to assist graduate students in chemical, electrical, electronics and instrumentation engineering who are engaged in advanced process control. The book’s main focus is on developing a controller tuning method for scalar and multivariable systems, particularly for unstable processes. It proposes a much simpler technique, avoiding the shortcomings of the popular relay-tuning method. The effects of higher-order harmonics are incorporated, owing to the shape of output waveforms. In turn, the book demonstrates the applicability and effectiveness of the Ziegler-Nichols method through simulations on a number of linear and non-linear unstable systems, confirming that it delivers better performance and robust stability in the presence of uncertainty. The proposed method can also be easily implemented across industries with the help of various auto-tuners available on the market. Offering a professional and modern perspective on profitably and efficiently automating controller tuning, the book will be of interest to graduate students, researchers, and industry professionals alike.

GENRE
Science et nature
SORTIE
2018
9 février
LANGUE
EN
Anglais
LONGUEUR
232
Pages
ÉDITIONS
Springer Nature Singapore
TAILLE
6
Mo

Autres livres de cette série

Precision Motion Control Precision Motion Control
2007
Nonlinear Control of Vehicles and Robots Nonlinear Control of Vehicles and Robots
2010
Tandem Cold Metal Rolling Mill Control Tandem Cold Metal Rolling Mill Control
2010
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games
2024
Process Control for Pumps and Compressors Process Control for Pumps and Compressors
2024
Control of Autonomous Aerial Vehicles Control of Autonomous Aerial Vehicles
2023