Control Based on PID Framework : The Mutual Promotion of Control and Identification for Complex Systems

Wei Wang

ISBN 10: 183968366X / ISBN 13: 9781839683664

Published by Intechopen, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - With numerous new opportunities and challenges emerging from the topic of the cognition and control of complex systems, the methods related to PID control, or control based on a PID framework, will continue to grow and expand. This book covers some of the recent results that include improvements to the PID controller. Some examples of these improvements are as follows: ¿The novelty method of the variable, fractional-order PID controller ¿The optimization of PID controller, such as the hybrid LQR-PID controller by using genetic algorithm (GA) with the application for the control of helicopter systems ¿The optimized tuning approach of PID controller with disturbance rejection ¿A controller adjustment method based on the internal product of PID terms ¿The PI-PD controller, incorporated with the model-based feedforward control (FF) and the disturbance compensator (Kz), which is used for the control of magnetic levitation systems ¿The proper control with PID framework used to improve the cognition or identification for complex systems.

Seller Inventory # 9781839683664

Bibliographic Details

• Title: Control Based on PID Framework : The Mutual Promotion of Control and Identification for Complex Systems
• Publisher: Intechopen
• Publication Date: 2021
• Language: English
• ISBN 10: 183968366X
• ISBN 13: 9781839683664
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 15D millimeters 266 millimeters width by 185 millimeters height by 15 millimeters depth
• Weight: 532 grams

About this title

Synopsis

With numerous new opportunities and challenges emerging from the topic of the cognition and control of complex systems, the methods related to PID control, or control based on a PID framework, will continue to grow and expand. This book covers some of the recent results that include improvements to the PID controller. Some examples of these improvements are as follows: -The novelty method of the variable, fractional-order PID controller -The optimization of PID controller, such as the hybrid LQR-PID controller by using genetic algorithm (GA) with the application for the control of helicopter systems -The optimized tuning approach of PID controller with disturbance rejection -A controller adjustment method based on the internal product of PID terms -The PI-PD controller, incorporated with the model-based feedforward control (FF) and the disturbance compensator (Kz), which is used for the control of magnetic levitation systems -The proper control with PID framework used to improve the cognition or identification for complex systems