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Pneumatic Servo Systems Analysis: Control and Application in Robotic Systems de Ling Zhao

Pneumatic Servo Systems Analysis: Control and Application in Robotic Systems: Advances in Industrial Control

Autor Ling Zhao, Yuanqing Xia, Hongjiu Yang, Jinhui Zhang
en Limba Engleză Paperback – 12 feb 2023

În domeniul roboticii industriale și al sistemelor de automatizare, precizia și gestionarea forțelor sunt vitale, iar Pneumatic Servo Systems Analysis oferă o bază teoretică și practică solidă pentru utilizarea actuatoarelor pneumatice. Apreciem modul în care autorii Ling Zhao și Yuanqing Xia abordează complexitatea mușchilor artificiali pneumatici și a cilindrilor, două componente esențiale în aplicațiile industriale moderne. Considerăm că valoarea principală a lucrării rezidă în soluțiile propuse pentru combaterea neliniarității puternice a aerului comprimat, în special prin implementarea tehnicii de control cu respingere activă a perturbațiilor (ADRC).

Structura volumului este una riguroasă, debutând cu o introducere în metodele de control și prezentarea platformelor experimentale, pentru ca ulterior să detalieze algoritmi de control complexi. Cititorul trece prin capitole dedicate controlului linear și neliniar, explorând tehnici avansate precum „sliding mode control” și „back-stepping control”. Recomandăm această abordare progresivă deoarece permite inginerilor să înțeleagă tranziția de la modelele teoretice la performanța reală a sistemelor robotice. Cititorul care a aplicat ideile din Hydraulic Servo-systems va găsi aici un complement tehnic necesar, înlocuind dinamica fluidelor hidraulice cu specificul compresibilității pneumatice, oferind o perspectivă diferită asupra controlului forței și poziției.

Această lucrare continuă preocuparea autorului Yuanqing Xia pentru sistemele cu eșantionare rapidă și control fin, teme regăsite și în Analysis and Synthesis of Delta Operator Systems. Dacă în lucrările anterioare accentul cădea pe operatori matematici specifici, aici analiza se mută pe integrarea hardware-ului pneumatic cu legi de control robuste. Este un volum tehnic esențial pentru cei care doresc să depășească limitările controlerelor clasice în favoarea unor strategii care pot gestiona incertitudinile parametrice și perturbațiile externe în timp real.

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Specificații

ISBN-13: 9789811695179
ISBN-10: 9811695172
Pagini: 320
Ilustrații: XXII, 320 p. 130 illus., 112 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.48 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Industrial Control

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte inginerilor de automatizări și studenților la robotică ce doresc să stăpânească controlul precis al actuatoarelor pneumatice. Cititorul câștigă o înțelegere profundă a tehnicilor de control neliniar, esențiale pentru lucrul cu mușchi artificiali. Este un ghid practic care transformă teoria matematică complexă în soluții aplicabile pentru creșterea performanței și robusteții sistemelor robotice industriale moderne.

Despre autor

Ling Zhao, Yuanqing Xia, Hongjiu Yang și Jinhui Zhang sunt experți recunoscuți în ingineria controlului și sisteme automate. Yuanqing Xia, în special, are o activitate vastă în analiza sistemelor complexe, publicând lucrări de referință despre operatorii delta și procesele de rafinare industrială. Expertiza colectivă a autorilor acoperă atât fundamentarea matematică a controlului neliniar, cât și aplicațiile practice în robotică, contribuind semnificativ la seria Advances in Industrial Control prin cercetări asupra controlului robust și a mecanismelor de respingere a perturbațiilor.

Descriere scurtă

This book focuses on pneumatic servo systems analysis, control and application in robotic systems. The pneumatic servo systems are composed by pneumatic artificial muscles or cylinders, which are two important pneumatic actuators in industrial application. The active disturbance rejection control technique is used effectively to solve strong nonlinearity and uncertain factors for the pneumatic servo systems. Nonlinear feedback control, back-stepping control, finite-time control, sliding mode control and several other control laws are proposed to make the pneumatic servo systems have better control performances. The book establishes a fundamental framework for this topic, while emphasizing the importance of integrated analysis. The book is intended for undergraduate and graduate students who are interested in this field and engineers working on the applications of pneumatic servo systems.



Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Cuprins

Introduction.- Control Methods for Pneumatic Servo Systems.- Platform Introduction.- Linear Feedback Control.-  Nonlinear Feedback Control.-  Sliding Mode Control.-  Platform Introduction.- Back-stepping Control.

Notă biografică

Dr. Ling Zhao received the B.S. degree in Automation from Southwest University, Chongqing, China, in 2007 and the Ph.D. degree in Control Science and Engineering in Beijing Institute of Technology, Beijing, China, in 2012. Between 2012 and 2018, she was a teacher in the College of Mechanical Engineering, Yanshan University, Qinhuangdao, China, where she was promoted to an Associate Professor in 2016. She is currently an Associate Professor in School of Precision Instruments and Optoelectronics Engineering, Tianjin University, China. Her research interests include robust control, pneumatic servo control, active disturbance rejection control, and networked control systems. 

Dr. Yuanqing Xia received his Ph.D. degree in control theory and control engineering from Beihang University, Beijing, China, in 2001. He was a research fellow in several academic institutions during 2002 to 2008, including the National University of Singapore and the University of Glamorgan, UK. Since 2004, he has been with Beijing Institute of Technology (BIT), China, where he is currently a chair professor, as well as the chief director of the School of Automation, BIT. He is currently the director of specialized committee on cloud control and decision of Chinese Institute of Command and Control (CICC), a member of the 8th Disciplinary Review Group of the Academic Degrees Committee of the State Council, a member of the Big Data Expert Committee of the Chinese Computer Society, and the vice chairman of the Internet of Things Working Committee of the Chinese Institute of Instrumentation. He was granted by the National Outstanding Youth Foundation of China in 2012, and was honored as the Yangtze River Scholar Distinguished Professor in 2016 and the Leading Talent of the Chinese Ten Thousand Talents Program. He has published sixteen monographs in Springer, John Wiley, and CRC, and more than 400 papers in international scientific journals, and has been a highly cited scholar since 2014 by Elsevier. He is a deputy editor of the Journal of Beijing Institute of Technology, an associate editor of Acta Automatica Sinica, International Journal of Automation and Computing, Gyroscopy and Navigation, Control Theory and Applications, etc. He obtained the Second Award of the Beijing Municipal Science and Technology (No. 1) in 2010 and 2015, the Second National Award for Science and Technology (No. 2) in 2011, the Second Natural Science Award of the Ministry of Education (No. 1) in 2012 and 2017,  and the Second Wu Wenjun Artificial Intelligence Award in 2018 (No. 1).  More than five of his students have obtained the excellent doctoral thesis awards from Chinese Association of Automation or Chinese Institute of Command and Control. His research interests include cloud control systems, networked control systems, robust control and signal processing, active disturbance rejection control, unmanned system control, and flight control.


Dr. Hongjiu Yang received the B.S. degree in mathematics and applied mathematics and the M.S. degree in applied mathematics from Hebei University of Science and Technology, Shijiazhuang, China, in 2005 and 2008, respectively. He received the Ph.D. degree in control science and engineering in Beijing Institute of Technology, Beijing, China. He was an Associate Professor with the Department of Automation, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China, in 2013 and 2018. He is currently a professor with the Department of Automation, School of Electrical and Information Engineering, Tianjin University, China. His main research interests include robust control/filter theory, delta operator systems, networked control systems and active disturbance rejection control.


Dr. Jinhui Zhang received the Ph.D. degree in Control Science and Engineering from Beijing Institute of Technology, Beijing, China, in 2011. He was a research associate in theDepartment of Mechanical Engineering, University of Hong Kong, Hong Kong, from February 2010 to May 2010, a senior research associate in the Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, from December 2010 to March 2011, and a visiting fellow with the School of Computing, Engineering & Mathematics, University of Western Sydney, Sydney, Australia, from February 2013 to May 2013. He was an associate professor in the Beijing University of Chemical Technology, Beijing, from March 2011 to March 2016, a professor in the School of Electrical and Automation Engineering, Tianjin University, Tianjin, from April 2016 to September 2016. He joined Beijing Institute of Technology in October 2016, where he is currently a professor. His research interests include networked control systems, composite disturbance rejection control and biomedical engineering.

Caracteristici

Studies the active disturbance rejection control technique for pneumatic servo systems Estimates the strong nonlinearity of pneumatic servo systems Uses the active disturbance rejection control technique to deal with strong nonlinearity