Robust-optimal control design for current-controlled electromagnetic levitation system with unmatched input uncertainty

Pandey, Amit; Adhyaru, Dipak M.

doi:10.1007/s40435-024-01412-9

Int. J. Dynam. Control

2023

DOI: 10.1007/s40435-024-01412-9

|View full text |Cite

Robust-optimal control design for current-controlled electromagnetic levitation system with unmatched input uncertainty

Amit Pandey,

Dipak M. Adhyaru

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Application of PID and self-tuning fuzzy PID control methods in the control of non-linear magnetic levitation system

Karabacak

2024

JIENS

View full text Add to dashboard Cite

Because of the Magnetic Levitation System's (MLS) low energy consumption and little friction two factors that are deemed crucial for unstable and nonlinear systems MLS research is now being conducted in the engineering area. This article discusses the comparison of the performance of control theories used by applying advanced control theories to cope with the complexity of the structure and controllability difficulties of MLS. The control methods compared are Proportional–Integral–Derivative (PID) and Self-Tuning Fuzzy PID (STFPID) methods. These methods were developed in the MATLAB environment. The MLS model created in the MATLAB environment was subjected to the suggested control methods, and the outcomes were compared. The outcomes unequivocally demonstrate that MLS location control may make use of PID and STFPID techniques. Four criteria were used to compare the developed control approaches performances. These are the criteria; rise time, settling time, percent maximum overshoot and overshoot value. It is clearly seen in the results that the STFPID control method provides control of the MLS with greater stability than the PID control method.

show abstract

Application of PID and self-tuning fuzzy PID control methods in the control of non-linear magnetic levitation system

Karabacak

2024

JIENS

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Robust-optimal control design for current-controlled electromagnetic levitation system with unmatched input uncertainty

Cited by 1 publication

References 25 publications

Application of PID and self-tuning fuzzy PID control methods in the control of non-linear magnetic levitation system

Application of PID and self-tuning fuzzy PID control methods in the control of non-linear magnetic levitation system

Contact Info

Product

Resources

About