Altitude control of a quadcopter using interval type-2 fuzzy controller with dynamic footprint of uncertainty

Şahin İ., Ulu C.

ISA Transactions, vol.134, pp.86-94, 2023 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 134
  • Publication Date: 2023
  • Doi Number: 10.1016/j.isatra.2022.08.020
  • Journal Name: ISA Transactions
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
  • Page Numbers: pp.86-94
  • Keywords: Quadcopter, Altitude control, Type-2 fuzzy logic controller, Footprint of uncertainty, Robustness, PD controller
  • Yıldız Technical University Affiliated: Yes


© 2022 ISAFootprint of uncertainty (FOU) characteristics of interval type-2 membership functions (IT2-MFs) play an important role in the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). In literature, fixed FOU structures are used in almost all IT2-FC designs. In this study, an IT2-FC with dynamic FOU is proposed to provide high performance and robustness in the altitude control of a quadcopter. A proportional–derivative (PD) type FC with Takagi–Sugeno rule structure is used in the design procedure of the proposed controller. Additionally, input variables (error and derivative of error) are defined by using triangular IT2-MFs. To provide a dynamic FOU structure, the height of the lower MF (LMF) of each interval type-2 fuzzy set is defined as a function of the system error. In this way, FOU levels of IT2-MFs are adjusted dynamically since the height value of the LMF directly determines the FOU level of the IT2-MF. To evaluate the effectiveness of the proposed controller, comparison studies are performed under different conditions, including unmodeled measurement noises, an external disturbance, and a system parameter uncertainty. A classical PD, a type-1 fuzzy PD, and an interval type-2 fuzzy PD with fixed FOU controllers are used in the comparisons. The comparison results demonstrate that the proposed interval type-2 fuzzy PD controller with dynamic FOU exhibits better performance and more robustness than the other controllers.