Fuzzy control for speed tracking of an electrical vehicle enclosing an axial-flux synchronous motor

Aloui, Helmi; Jridi, Alaeddine Ben; Chaker, Nadia; Nèji, Rafik

doi:10.1109/sta.2013.6783102

Cited by 4 publications

(3 citation statements)

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“…constant, armature and field coil inductance and impedance etc.) [6]. Through a well-tuned PID controller, the same system responses could be achieved accurately but the system performance is highly dependent on the governing equations and the system mathematical model [6].…”

Section: Introductionmentioning

confidence: 99%

“…[6]. Through a well-tuned PID controller, the same system responses could be achieved accurately but the system performance is highly dependent on the governing equations and the system mathematical model [6]. According to classical methods, when modeling non-linear systems, governing equations are very complicated and require the use of sophisticated state observers.…”

Section: Introductionmentioning

confidence: 99%

“…Intelligent controllers are preferable since the controller for any system can be developed without a mathematical model and in this manner, efficiency and reliability of the controller are increased [6].…”

Section: Introductionmentioning

confidence: 99%

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Real-time fuzzy logic speed tracking controller for a DC motor using Arduino Due

Jayetileke

Mei

Ratnayake

2014

7th International Conference on Information and Automation for Sustainability

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Designing and developing AI controllers on separately dedicated chips have many advantages. This paper reviews the development of a real-time fuzzy logic controller for speed control of a dc motor using Arduino Due board. The proposed fuzzy logic controller is based on Mamdani approach and has been tested on the aforementioned high performance microcontroller board and using MATLAB. During the real-time operation the dc motor behavior and the fuzzy controller's response were plotted and the data were stored in MATLAB without interrupting the fuzzy logic controller. Based on these observed information, the system settling time and the rise time reduction were calculated for each input wave patent trajectories while increasing the wave frequency. It was noted that the system overshoot is negligible. Utilizing the aforementioned parameters the Arduino Due board performance was analyzed with the fuzzy logic speed control approaches of dc motors made by past researchers as mentioned above. The system response shows a satisfactory performance for this particular dc motor application when the input signal (desired output signal) frequency is less than 2 Hz, but further research is needed when identifying the optimum performance of the Arduino Due board for different fuzzy logic algorithms while increasing the desired input signal frequency.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%