Affiliation:
1. Deptartment of Electrical and Computer Engineering, National Technical University of Athens, 10682 Athens, Greece
Abstract
This paper introduces an analog integrated fractional order type-2 fuzzy PID control system. Current approaches frequently depend on energy-intensive embedded digital systems, consuming substantial energy levels ranging from a few μW to mW. To address this limitation we propose a fully analog design offering insights into the potential of analog circuits for powerefficient robust control in complex and uncertain environments. It consists of Gaussian function, min/max, Operational transcoductance amplifier circuits and Resistor-Capacitor networks for the implementation of the fractional-order components. Crafted for operation under a reduced voltage supply (0.6 V), the controller attains minimal power usage (861.8 nW), facilitating uninterrupted, extended-term functioning. Post-layout simulation results confirm the proper operation of the proposed design. The proposed system is designed and simulated using the Cadence IC Suite in a TSMC 90 nm CMOS process.
Reference92 articles.
1. A review of soft computing technology applications in several mining problems;Jang;Appl. Soft Comput.,2014
2. Soft computing and fuzzy logic;Zadeh;IEEE Softw.,1994
3. Jang, J., Sun, C., and Mizutani, E. (1997). Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall.
4. Fuzzy sets;Zadeh;Inf. Control,1965
5. Category learning in the brain;Seger;Annu. Rev. Neurosci.,2010