Open AccessPerformance Evaluation of Fuzzy-PID in Speed Control of Three Phase Induction Motor
Author(s) -
Hari Maghfiroh,
Joko Slamet Saputro,
Feri Adriyanto,
Augustinus Sujono,
R L Lambang
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1096/1/012071
Subject(s) - pid controller , control theory (sociology) , induction motor , vector control , torque , electronic speed control , fuzzy logic , reliability (semiconductor) , direct torque control , engineering , fuzzy control system , computer science , control engineering , control (management) , temperature control , artificial intelligence , physics , power (physics) , electrical engineering , quantum mechanics , voltage , thermodynamics
Induction motor (IM) is one of AC motor type which mainly applied for adjustable speed applications and consumes approximately 60% of the total industrial electricity consumption. IM is chosen due to its simple structure, reliability, high efficiency, and low cost. There are two main methods in speed and torque control of IM which are scalar control and vector control. Vector control is divided again as Field Oriented Control (FOC) and Direct Torque Control (DTC). In this research, DTC is chosen due to its simplicity compared with FOC. PID is reported that used by 90% industrial section because of its simplicity, applicability, and reliability. Fuzzy Logic Control (FLC) is one of the artificial intelligences that can be used to online tune the PID parameters. The simulation of speed control of the IM base on DTC has been carried out. The simulation result shows that in both no-load and loaded tests, Fuzzy-PID gives better results in speed tracking. In terms of control energy, Fuzzy-PID consumes more energy by 4.5% with better performance in the no-load test. Whereas for the loaded tests, it also has better performance with less energy by 1.03 % compared with PID.