Adaptive fuzzy Internal Model Control design with bias term compensator

Tufan Kumbasar*, Ibrahim Eksin, Mujde Guzelkaya, Engin Yesil

*Bu çalışma için yazışmadan sorumlu yazar

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6 Atıf (Scopus)

Özet

Internal Model Control (IMC) is a powerful method for control system design. However, the classic EMC scheme will not be sufficient in the case of modelling mismatches that might generally occur in the design of nonlinear control systems. Fuzzy modelling is a powerful tool in representing nonlinear systems. Thus, a new fuzzy model based EMC structure is proposed to provide an effective and robust control performance. In this structure, a fuzzy proportional controller is introduced into the feedback loop of the IMC structure to stabilize system and obtain an offset free response while the inverse fuzzy model controller is used for set point tracking. The timing formula of the fuzzy proportional controller in the feedback loop is obtained by instantaneous linearization of the fuzzy model at a certain operating point via simple calculations. In order to increase the robustness and disturbance rejection performance of the modified IMC scheme, an adaptation mechanism is introduced on the fuzzy model. A simulation study has been performed on the nonlinear mass-spring-damper system to show the effectiveness of the proposed scheme.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2011 IEEE International Conference on Mechatronics, ICM 2011 - Proceedings
Sayfalar312-317
Sayfa sayısı6
DOI'lar
Yayın durumuYayınlandı - 2011
Etkinlik2011 IEEE International Conference on Mechatronics, ICM 2011 - Istanbul, Turkey
Süre: 13 Nis 201115 Nis 2011

Yayın serisi

Adı2011 IEEE International Conference on Mechatronics, ICM 2011 - Proceedings

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???event.eventtypes.event.conference???2011 IEEE International Conference on Mechatronics, ICM 2011
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot13/04/1115/04/11

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