Non-linear performance analysis and voltage control of MFC based on feedforward fuzzy logic PID strategy
Autor: | Aimin An, Fan-cheng Meng, Hao-chen Zhang, Qing-zhu Luo |
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Rok vydání: | 2019 |
Předmět: |
Computer science
020209 energy Metals and Alloys General Engineering Feed forward PID controller Value (computer science) 02 engineering and technology 021001 nanoscience & nanotechnology Fuzzy logic Defuzzification Power (physics) Nonlinear system Control theory 0202 electrical engineering electronic engineering information engineering 0210 nano-technology Voltage |
Zdroj: | Journal of Central South University. 26:3359-3371 |
ISSN: | 2227-5223 2095-2899 |
Popis: | Microbial fuel cell (MFC) is a kind of promising clean power supply energy equipment, but serious nonlinearities and disturbances exist when the MFC runs, and it is an important topic to guarantee that the output voltage reaches the setting value quickly and smoothly. Regulating the feeding flow is an effective way to achieve this goal, and especially, the satisfactory results can be achieved by regulating anode feeding flow. In this work, a feedforward fuzzy logic PID algorithm is proposed. The fuzzy logic system is introduced to deal with the non-linear dynamics of MFC, and corresponding PID parameters are calculated according to defuzzification. The magnitude value of the current density is used to simulate the value of the external load. The simulation results indicate that the MFC output voltage can track the setting value quickly and smoothly with the proposed feedforward fuzzy logic PID algorithm. The proposed algorithm is more efficient and robust with respect to anti-disturbance performance and tracking accuracy than other three control methods. |
Databáze: | OpenAIRE |
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