TY - GEN
T1 - Magnetic Levitation System Control Approaches and Recent Work on Controller Optimizations
T2 - International Conference on Electric Power and Renewable Energy, EPREC 2024
AU - Tewari, Vijay Kumar
AU - Bharati, Kamlesh
AU - Mishra, Shrish
AU - Shekhar, Yogesh
AU - Verma, Gaurav
AU - Kumar, Rajesh
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This paper presents an extensive literature review covering conventional PID controllers, modern optimization methods, and their application in optimizing PID controllers for Maglev systems. Maglev technology has several advantages, including cheaper maintenance costs, more efficiency, and less power usage. It uses an electromagnetic force to hold items, such as metal balls, in mid-air. It does this by combining mechanical and electrical systems. Maglev systems are widely used in a variety of industries, such as transportation, healthcare, and power production and are essential for improving their operational efficiency. However, non-linear behavior, noise, and instability can affect Maglev systems and cause resonance, unintended accelerations, and disruptions. Optimization strategies are necessary to reduce possible difficulties and enhance system performance in light of these obstacles. In this study, different optimization approaches for PID controllers and Maglev systems are discussed, such as GW optimization and GA optimization. To demonstrate the efficacy of various optimization techniques, comparative studies are also provided, including evaluations using the Ziegler-Nichols (ZA) methodology and highlighted too in the paper.
AB - This paper presents an extensive literature review covering conventional PID controllers, modern optimization methods, and their application in optimizing PID controllers for Maglev systems. Maglev technology has several advantages, including cheaper maintenance costs, more efficiency, and less power usage. It uses an electromagnetic force to hold items, such as metal balls, in mid-air. It does this by combining mechanical and electrical systems. Maglev systems are widely used in a variety of industries, such as transportation, healthcare, and power production and are essential for improving their operational efficiency. However, non-linear behavior, noise, and instability can affect Maglev systems and cause resonance, unintended accelerations, and disruptions. Optimization strategies are necessary to reduce possible difficulties and enhance system performance in light of these obstacles. In this study, different optimization approaches for PID controllers and Maglev systems are discussed, such as GW optimization and GA optimization. To demonstrate the efficacy of various optimization techniques, comparative studies are also provided, including evaluations using the Ziegler-Nichols (ZA) methodology and highlighted too in the paper.
KW - Conventional method
KW - Instability
KW - Maglev
KW - Optimization techniques
KW - PID
KW - RBFANN
UR - https://www.scopus.com/pages/publications/105002054568
U2 - 10.1007/978-981-96-0104-2_12
DO - 10.1007/978-981-96-0104-2_12
M3 - Conference contribution
AN - SCOPUS:105002054568
SN - 9789819601035
T3 - Lecture Notes in Electrical Engineering
SP - 171
EP - 193
BT - Control Applications in Modern Power Systems - Select Proceedings of EPREC 2024
A2 - Prajapati, Arvind Kumar
A2 - Singh, Asheesh K.
A2 - Tripathy, Manoj
A2 - Sood, Vijay K.
A2 - Malik, Om P.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 May 2024 through 26 May 2024
ER -