Industrial Electronics
Davood Maleki; Abolfazl Halvaei Niasar
Abstract
Multiphase permanent magnet synchronous motors (PMSMs) are widely adopted in high-power-density and high-efficiency applications, particularly where reliability is a critical design requirement. This paper presents a control strategy for an asymmetric six-phase PMSM with a dual-winding per-phase stator ...
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Multiphase permanent magnet synchronous motors (PMSMs) are widely adopted in high-power-density and high-efficiency applications, particularly where reliability is a critical design requirement. This paper presents a control strategy for an asymmetric six-phase PMSM with a dual-winding per-phase stator configuration, where each phase consists of two physically aligned and symmetrically distributed windings relative to the stator center to ensure enhanced drive reliability. The system employs a fully modular control and power architecture, with each winding pair in a phase supplied by an independent single-phase H-bridge inverter. To mitigate torque ripple caused by non-sinusoidal back-EMF waveforms, an optimized harmonic current injection technique is implemented alongside quasi-proportional resonant (QPR) current controllers for precise harmonic compensation. Additionally, under fault conditions (e.g., winding failure), a fault-tolerant control (FTC) algorithm is applied, focusing on the suppression of second-order harmonic torque oscillations to maintain stable operation. The proposed control methodologies are validated through detailed Simulink simulations and further supported by experimental results, confirming their effectiveness in improving performance and reliability.
Control
Mostafa Rahideh; Abbas Ketabi; Abolfazl Halvaei Niasar
Abstract
In this paper, an adaptive control method is proposed for maximum power point tracking (MPPT) in photovoltaic (PV) systems. For improving the performance of an MPPT, this study develops a two-level adaptive control structure that can decrease difficulty in system control and efficiently handle the uncertainties ...
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In this paper, an adaptive control method is proposed for maximum power point tracking (MPPT) in photovoltaic (PV) systems. For improving the performance of an MPPT, this study develops a two-level adaptive control structure that can decrease difficulty in system control and efficiently handle the uncertainties and perturbations in the PV systems and the environment. The first control level is a ripple correlation control (RCC), and the second level is a model reference adaptive control (MRAC). This paper emphasizes mainly on designing the MRAC algorithm, which improves the underdamped dynamic response of the PV system. The original state-space equation of PV system is time-varying and nonlinear, and its step response contains oscillatory transients that damp slowly. Using the extended state-dependent Riccati equation (ESDRE) approach, an optimal law of the controller is derived for the MRAC system to remove the underdamped modes in PV systems. A algorithm of scanning the P-V curve of the PV array is proposed to seek the global maximum power point (GMPP) in the partial shading conditions (PSCs). It is shown that the proposed control algorithm enables the system to converge to the maximum power point in milliseconds in partial shading conditions .
