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Speed Control of Direct Current Motor Using ANFIS Based Hybrid P-I-D Configuration Controller

Yanling Guo, Mohamed Elhaj Ahmed Mohamed

2020IEEE Access49 citationsDOIOpen Access PDF

Abstract

Considering DC motor's non-linear characteristics, design challenges and mechanical variation due to the operation conditions, the precise controller cannot be performed using the traditional control alone. This study presents an innovative method to optimize the direct current motor speed by decreasing the transient response characteristics such as overshoot, settling time and rise time. In this study, several PID's configurations and ANFIS controllers have been performed for direct current motor speed control. The suggested techniques were compared to each other to validate the superiority of the highest controller performance. Training data for ANFIS was generated using standard configuration, cascade and dual configuration. The dual configuration is a hybrid of two controller's data manipulated using a special algorithm. The results obtained using Matlab Simulink tools demonstrated the efficiency of ANFIS based dual PID and ANFIS based PD methods for controlling the motor speed. The overall simulation results showed that the models have a rapid response, small overshoot, superior dynamics and robustness, and static performance. The techniques presented herein outperform the traditional control methods for obtaining highly accurate control.

Topics & Concepts

Control theory (sociology)PID controllerSettling timeOvershoot (microwave communication)Computer scienceRobustness (evolution)Adaptive neuro fuzzy inference systemElectronic speed controlMATLABDC motorControl engineeringController (irrigation)Rise timeControl systemStep responseEngineeringTemperature controlControl (management)VoltageArtificial intelligenceFuzzy control systemBiochemistryAgronomyChemistryGeneOperating systemElectrical engineeringTelecommunicationsFuzzy logicBiologySensorless Control of Electric MotorsAdvanced Control Systems DesignIndustrial Automation and Control Systems
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