Abstract
Axial Flux Permanent Magnet Synchronous Motor (AFPMSM) are very attractive candidates for driving applications due to their high efficiency, high torque-to-weight ratio, high power density, small magnetic thickness, and simplicity of construction. On the other hand, AFPMSM produces undesirable torque ripple in the developed electromagnetic torque, affecting their output performance. An intelligent control method is proposed in this paper to reduce torque ripple and improve the dynamic performance of AFPMSM. The vector control, employing the Field Oriented Control (FOC) technique, was used to improve the dynamic performance of the AFPMSM. The speed and torque controllers are achieved using the decoupling method. The intelligent control was designed to improve the performance of AFPMSM obtained from PI-PSO. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was used as an Intelligent controller to integrate both the speed and torque constraints in a single training procedure. Training data for ANFIS was obtained from PI-PSO with a multi-objective cost function that includes the torque ripple and speed response criteria. The approach gave great results in terms of speed performance in different operating conditions and in tracking the required speed in load and no-load. In addition, the torque ripple was reduced by 10.04% and 46.67% compared with PI-PSO and Multi-objective cost function of speed, respectively.
Highlights
Most of the energy worldwide is consumed for transportation purposes, so replacing non-renewable energy resources with more sustainable energy sources is of utmost importance
This paper focuses on the permanent magnet synchronous motor due to its features like high efficiency, high torque/volume ratio, high pull-out torque possible, high power density, smaller size, and good heat dissipation
The performance of the Field Oriented Control (FOC) of Axial Flux Permanent Magnet Synchronous Motor (AFPMSM) is investigated with the Adaptive Neuro-Fuzzy Inference System (ANFIS) controller under different operating conditions as follows: The system performance for different steps input is shown in Figure (10)
Summary
Most of the energy worldwide is consumed for transportation purposes, so replacing non-renewable energy resources with more sustainable energy sources is of utmost importance. The best solution to protecting the environment, reducing non-renewable energy resources, and achieving high efficiency in transportation applications is electric Vehicles (EVs), which have become more attractive in recent years [2]. Field Oriented Control (FOC) is the first technology in which the speed and torque are directly controlled by separating the stator current components (torque and magnetizing flux). The FOC technology is characterized by its ability to work with applications of high-performance motors that can run smoothly over a range of speeds, produce full torque at zero speed, and be capable of rapid acceleration and deceleration [10]. The successful implementation of a field-oriented (FOC) depended on the speed and current controllers necessary to keep the system running in steady-state to meet the motor requirement. The performance of AFPMSM is investigated under different operating conditions to control speed and torque by using three controllers (one for speed and two for current)
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