Input-output scaling factors tuning of type-2 fuzzy PID controller using multi-objective optimization technique

Sabahi K., Zhang C., Kausar N., Mohammadzadeh A., Pamucar D., Mosavi A. H.

AIMS Mathematics, vol.8, no.4, pp.7917-7932, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 8 Issue: 4
  • Publication Date: 2023
  • Doi Number: 10.3934/math.2023399
  • Journal Name: AIMS Mathematics
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Directory of Open Access Journals
  • Page Numbers: pp.7917-7932
  • Keywords: PID, self-structuring, fuzzy controller, type-2 fuzzy logic, overshoot, settling, rising time
  • Yıldız Technical University Affiliated: Yes


© 2023 the Author(s), licensee AIMS Press.The PID controller is a popular controller that is widely used in various industrial applications. On the other hand, the control problems in microgrids (MGs) are so challenging, because of natural disturbances such as wind speed changes, load variation, and changes in other sources. This paper proposes an input-output scaling factor tuning of interval type-2 fuzzy (IT2F) PID controller using a multi-objective optimization technique. The suggested controller is applied to an MG frequency regulation problem. In the introduced controller the effect of variations of renewable energies (REs) and other disturbances are taken into account, and the robustness is investigated. In the multi-objective scheme, some factors such as least overshoot, and minimum settling/rising time are considered. The simulations show that by considering the suitable adjustment the desired regulation accuracy is achieved, such that the frequency trajectory shows the desired overshoot, and settling/rising time.