Faisal Albatati

57219907293

Publications - 2

Adaptive Speed Tuning of Permanent Magnet Synchronous Motors Using Intelligent Fuzzy Based Controllers for Pumping Applications

Publication Name: Processes

Publication Date: 2025-05-01

Volume: 13

Issue: 5

Page Range: Unknown

Description:

This study focuses on enhancing the performance of Permanent Magnet Synchronous Motors (PMSMs) in pumping applications by improving motor torque through the integration of advanced control strategies. The dq-axis model of a PMSM is utilized to facilitate precise control and dynamic response. The proposed approach combines Fuzzy Logic Control (FLC) and Fuzzy Proportional-Integral-Derivative (fuzzy PID) controllers with Vector Control (VC) inverters, specifically designed for PMSMs with salient rotor structures. The salient rotor design inherently provides higher torque density, making it suitable for demanding applications like pumping. The FLC and fuzzy PID controllers are employed to optimize the motor’s dynamic response, ensuring precise torque control and improved efficiency under varying load conditions. The VC inverter further enhances the system’s performance by enabling rapid torque and flux control, reducing torque ripple, and improving overall motor stability. The simulation results demonstrate that the proposed control strategy significantly increases motor torque, enhances energy efficiency, and reduces operational losses in pumping applications. This makes the system more reliable and cost-effective for industrial and agricultural pumping systems, where high torque and energy savings are critical. The integration of FLC, fuzzy PID, and VC with a salient-rotor PMSM offers a robust solution for achieving superior motor performance in real-world pumping scenarios. This work contributes to the development of smarter, more efficient pumping systems, paving the way for enhanced industrial automation and energy management.

Open Access: Yes

DOI: 10.3390/pr13051393

A Combined Asymptotic and Characteristic-Based Computational Framework for Exit-Plane Disturbance Response in Solid Rocket Motor Chambers

Publication Name: Fluid Dynamics and Materials Processing

Publication Date: 2026-06-30

Volume: 22

Issue: 6

Page Range: 1-31

Description:

A combined asymptotic and characteristic-based computational framework is developed to investigate unsteady compressible flow response in solid rocket motor (SRM) chambers subjected to exit-plane disturbances and steady sidewall mass injection. The formulation integrates a low-Mach-number asymptotic reduction of the governing equations with a time-accurate numerical solution of the parabolized Navier–Stokes equations, employing characteristic-based boundary conditions to ensure physically consistent wave reflection and transmission at chamber boundaries. Controlled exit-plane pressure forcing is imposed under non-resonant and near-resonant conditions to examine acoustic–vorticity coupling mechanisms within slender SRM geometries. The computational framework is verified and validated against analytical solutions and available experimental measurements for canonical duct configurations, demonstrating accurate pressure wave prediction and stable long-time integration over multiple acoustic cycles. The validated model is subsequently applied to configurations with sidewall mass injection, where interaction between injected flow and acoustic oscillations generates rotational structures that progressively penetrate the chamber cross-section. Parametric investigations reveal strong Reynolds-number dependence of vorticity amplitude, wave penetration depth, and transient flow reversal behavior. Increasing Reynolds number reduces viscous attenuation and promotes sustained wave–vorticity interaction, while weakly nonlinear modulation introduces higher harmonic content in the acoustic response. Despite complex velocity and vorticity structures, transverse pressure gradients remain negligible for slender chamber configurations, consistent with asymptotic predictions.

Open Access: Yes

DOI: 10.32604/FDMP.2026.082520