Fuzzy self-adaptive PID control technique for driving HHO dry cell systems

Autor: Çağlar Conker, Mustafa Kaan Baltacioglu
Přispěvatelé: Mühendislik ve Doğa Bilimleri Fakültesi -- Mekatronik Mühendisliği Bölümü, Conker, Çağlar, Baltacıoğlu, Mustafa Kaan
Rok vydání: 2020
Předmět:
Energy & Fuels
Computer science
Fuzzy set
Three term control systems
Internal combustion engines | Engines | Dual fuel
Energy Engineering and Power Technology
PID controller
02 engineering and technology
Fuzzy control
Fuel-cell
010402 general chemistry
01 natural sciences
Defuzzification
Fuzzy logic
Two term control systems
Control theory
Physical
Electrochemistry
Adaptive fuzzy pid controllers
Hydrogen-production
Hydroxy dry cell
On/off control
Operation
Energy
Control strategies
Renewable Energy
Sustainability and the Environment
Dry cells
Fuzzy-PID
PID
Process (computing)
Production performance
Fuzzy control system
Adaptive control systems
Computer circuits
021001 nanoscience & nanotechnology
Condensed Matter Physics
0104 chemical sciences
Chemistry
Fuel Technology
Gain scheduling
Fuzzy proportional integral derivatives
Voltage control
Operating temperature
Proportional control systems
0210 nano-technology
Conventional control
Pulse-width modulation
Zdroj: International Journal of Hydrogen Energy. 45:26059-26069
ISSN: 0360-3199
DOI: 10.1016/j.ijhydene.2020.01.136
Popis: When the standard operating temperatures are exceeded in hydroxy generators, production performance decreases and power consumption increases. Self-adaptive fuzzy proportional integral derivative systems have been used to prevent this situation and to maintain optimum production conditions. The Fuzzy Logic is provided to tune the optimum PID parameters by using a gain scheduling method. The tuning scheme is demonstrated by a fuzzy decision process, which consists of fuzzification, knowledge and rule base, inference and defuzzification. Results of developed fuzzy proportional integral derivative (FPID), on-off, conventional PID and fuzzy control approach are discussed and compared. The presented result shows that self-adaptive fuzzy PID controllers achieve better control performance than conventional control methods mentioned. The last but not the least, developed approach minimizes the expertise needed to apply pulse width modulation technique. © 2020 Hydrogen Energy Publications LLC
Databáze: OpenAIRE
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