Optimization of Sub-threshold Bandgap Reference Circuit with Immune Plasma Algorithm Immün Plazma Algoritmasi ile Eşik Alti Bant Arali?gi Referans Devresi Optimizasyonu
34th Signal Processing and Communications Applications Conference, SIU 2026, İstanbul, Türkiye, 7 - 10 Temmuz 2026, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu71813.2026.11636766
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: analog circuit optimization, bandgap reference circuit, constrained optimization, immune plasma algorithm, metaheuristic optimization
- Erciyes Üniversitesi Adresli: Evet
Özet
In this study, the Immune Plasma Algorithm (IPA) is applied to optimize the subthreshold bandgap reference (SBGR) circuit used in low-power analog IC design. The SBGR problem involves multiple analog design constraints, including voltage stability, temperature coefficient, loop gain, phase margin, gain margin, and power consumption, forming a challenging high-dimensional constrained optimization problem.IPA is evaluated across three scenarios - Base, Hard, and High-Dimensional - over 30 independent runs and compared with the Grey Wolf Optimizer (GWO) and the Firefly Algorithm (FA). Results show that IPA achieves feasibility rates of 96.7%, 63.3%, and 93.3% in the Base, Hard, and High-Dimensional scenarios, respectively, outperforming GWO (40%, 13.3%, 10%) and FA (53.3%, 23.3%, 13.3%). IPA also provides a higher mean fitness and a stable PSRR around 106.5 dB, confirming its effectiveness.