Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Axial Flux Permanent Magnet Synchronous Motor (AFPMSM) is chosen for use in electric vehicles because of its high features, good controlling is a demand to meet the desired performance target. This paper proposes a multi-objective approach to optimize the parameters of the proportional-integral (PI) controller b using Particle swarm optimization (PSO) in the Vector control (or FOC) of an (AFPMSM). The PSO method was chosen to optimizing the PI controller’s parameter by using a multi-objective cost function, which represents a comprehensive evaluating function considering the dynamic and steady-state response. This approach improves the performance of AFPMSM speed controller in tracking the desired reference. The mathematical model of AFPMSM was introduced and FOC was used as effective control. Results were obtained, by using MATLAB-SIMULINK, for multiple operational cases to investigate the performance of the AFPMSM. Simulation results show the superior performance of the proposed controller, for tracking different speed references, comparing with traditional methods. Which gives rise-time=0.72s, overshoot=0.05%, and steady-state time=0.73s. Moreover, the proposed controller shows a high degree of robustness against stator parameters variations
The proposed work is an attempt to introduce a simple and viable Device-to-device (D2D) communication scheme to maximize power share of every user within long term evolution (LTE) network. The proposed scheme was built on a geometric assumption combined with transient cloud technique in addition to using a whale optimization algorithm to compute the optimal user`s power. The obtained results illustrated that further 6 mW was added to every user as compared with traditional computation scheme moreover; the inclusive data transmission delay is reduced, consequently, the proposed scheme addressed the latency problem when it was compared with Dinkelbach scheme consistently with the increase of the number of D2D users