Design of an iterative auto-tuning algorithm for a fuzzy PID controller

Saeed, B.; Mehrdadi, Bruce

doi:10.1088/1742-6596/364/1/012052

Cited by 4 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two fuzzy logic inputs of this research are variable error and variable delta error. The delta error is obtained from the current error value with the previous error value [20]. Fuzzy logic inputs and outputs are expressed in membership functions to group the existing variables [21].…”

Section: Design Of Fuzzy Logicmentioning

confidence: 99%

Design and Development of Fuzzy-PID Controller for Four-Wheeled Mobile Robotic Stability: A Case Study on the Uphill Road

Raafi'u

Darwito

Zain

et al. 2020

IJOE

View full text Add to dashboard Cite

Design intelligent control to maximize the performance of the Four-Wheeled Mobile Robot (FWMR) in case of uphill road problems. The variation of slope angle and load variation on the uphill road is applied to know the performance of the automatic control system on FWMR. The research is divided into three two covering, system identification, design system and simulation testing. The Rotary speed control system response with fuzzy-PID control method has a good performance by anticipating various tilt angle 5 o. The system can through uphill with loads 11N with a steady time and fast travel time. The best travel time in the 5 o tilt angle condition is 2 seconds with a 4m circuit length. This research concludes that fuzzy-PID control can be implemented and increase the dynamic response of the FWMR effectively on the uphill road problems.

show abstract

Section: Design Of Fuzzy Logicmentioning

confidence: 99%