This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential.
Mechatronics has been a revolutionary force in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly and comprehensively the engineering design process at different stages. As the historical divisions between the various branches of engineering and computer science become less clearly defined, mechatronics may provide a roadmap for nontraditional engineering students studying within the traditional university structure. This book covers all the algorithms and techniques found in mechatronics engineering, well explained with real-time examples, especially lab experiments that will be very informative to students and scholars.
Audience
This resource is important for R & D departments in academia, government, and industry. It will appeal to mechanical engineers, electronics engineers, computer scientists, robotics engineers, professionals in manufacturing, automation and related industries, as well as innovators and entrepreneurs.
Preface xxi
1 AI in Mechatronics 1
Vansh Gehlot and Prashant Singh Rana
2 Thermodynamics for Mechatronics 41
Yadav Krishnakumar Rajnath, Shrikant Tiwari and Virendra Kumar
3 Role of Data Acquisition, Sensors, and Actuators in Mechatronics Industry 83
Harpreet Kaur Channi
4 Optimization Techniques for Mechatronics: A Comprehensive Review and Future Directions 109
Ikvinderpal Singh and Sapandeep Kaur Dhillon
5 Reinforcement Learning for Adaptive Mechatronics Systems 135
D. Sathya, G. Saravanan and R. Thangamani
6 Application of PLC in the Mechatronics Industry 185
Harpreet Kaur Channi, Pulkit Kumar and Arvind Dhingra
7 Fuzzy Logic and Its Applications in Mechatronic Control Systems 211
D. Sathya, G. Saravanan and R. Thangamani
8 Drones and Autonomous Robotics Incorporating Computational Intelligence 243
R. Thangamani, R. K. Suguna and G. K. Kamalam
9 Exploring the Convergence of Artificial Intelligence and Mechatronics in Autonomous Driving 297
Ritika Wason, Parul Arora, Vishal Jain, Devansh Arora and M. N. Hoda
10 Improving Power Quality for Industry Control Using Mechatronics Devices 317
Pulkit Kumar, Harpreet Kaur Channi and Surbhi Gupta
11 Study on Integrated Neural Networks and Fuzzy Logic Control for Autonomous Electric Vehicles 347
S. Boopathi
12 Advancing Mechatronics Through Artificial Intelligence 381
Pawan Whig, Jhansi Bharathi Madavarapu, Venugopal Reddy Modhugu, Balaram Yadav Kasula and Ashima Bhatnagar Bhatia
13 Computational Intelligent Techniques in Mechatronics: Emerging Trends and Case Studies 401
Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Bright Keswani and Sasmita Nayak
14 Advanced Sensing Systems in Automobiles: Computational Intelligence Approach 445
Mamta B. Savadatti and Ajay Sudhir Bale
15 Design of Arduino UNO-Based Novel Multi-Featured Robot 471
Jaspinder Kaur, Rohit Anand, Nidhi Sindhwani, Ajay Kumar Sharma and Vishal Jain
16 Integrating Mechatronics in Autonomous Agricultural Machinery: A Case Study
N. V. Suresh, Ananth Selvakumar, Gajalakshmi Sridhar and Vishal Jain
References 505
Index 509
Kolla Bhanu Prakash, PhD, is a professor and associate dean and R & D head for A.I. & Data Science Research Group at K L University, Vijayawada, Andhra Pradesh, India. He is also an adjunct professor atTaylors University, Malaysia. He has published 150+ research papers in international and national journals and conferences. He has authored two and edited 12 books as well as published 15 patents. His research interests include deep learning, data science, and quantum computing.
Satish Kumar Peddapelli, PhD, is the Director at the Rajiv Gandhi University of Knowledge Technologies, IIIT-Basara, and Professor of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, India. His areas of interest are power electronics, drives, multi-level inverters, special machines and renewable energy systems.
Ivan C.K. Tam, PhD, is an associate professor in the Dept. of Marine Engineering Design & Technology, as well as the Director of Innovation & Engagement at the University of Newcastle in Singapore. He has a wealth of experience in multi-disciplinary research and a strong track record of leading innovative projects. His research interests are in the clean fuel combustion process, exhaust emission control, energy management and renewable energy technology.
Wai Lok Woo, PhD, received his doctorate in statistical machine learning from Newcastle University, UK. Prof Woo currently holds the Chair in Machine Learning with Northumbria University, UK. He is the Faculty Director of Research (Engineering and Environment), and Head of Research for Data Science and Artificial Intelligence. He was previously the Director of Research for Newcastle Research and Innovation Institute, and Director of Operations of Newcastle University. His major research is in mathematical theory and algorithms for data science and analytics.
Vishal Jain, PhD, is an associate professor in the Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India. He has more than 16 years of experience in academics and has authored more than 100 research papers in reputed journals and conferences as well as edited several books with the Wiley-Scrivener imprint.
