The article reviews and expands the active damping strategy for permanent magnet motor drive systems with LC filters, analyzing its stability, dynamic performance, robustness, and algorithm complexity. A new expansion using capacitor current feedback with high-pass filter is proposed to overcome resonance suppression problems.
Researchers propose a novel analytical model that considers multiple nonlinear factors in motor performance calculation, reducing errors caused by magnetic saturation. The new method significantly improves design efficiency and prediction accuracy, cutting development time and cost.
Researchers proposed a four-level modulation strategy for dual three-phase open-winding PMSM drives, achieving higher efficiency and lower current harmonics. The proposed strategy reduces average current THD by more than 29% and switching frequencies by up to 90%.
Researchers at NIT Puducherry unveiled an energy-efficient model predictive current control (MPCC) method that enhances induction motor drive performance in electric vehicles. The CSVVV-based MPCC introduces a novel way to synthesize voltage vectors, reducing switching losses and current ripple.
A new control strategy for hybrid magnetic bearing systems is proposed, employing an improved cascaded reduced-order linear active disturbance rejection controller. The strategy significantly enhances rotor suspension stability by employing feedforward compensation, reducing displacement fluctuations and improving system robustness. Ex...
Researchers have analyzed four model-free predictive control (MFPC) approaches, showcasing their flexibility and robustness in motor drives. The study highlights the potential for MFPC to address challenges in various industries, including cybersecurity, power grids, and aerospace.
This study provides a comprehensive overview of arc-linear motors (ALMs) used in direct-drive applications, discussing their topologies, working principles, performances, and optimization techniques. Key findings highlight the merits and demerits of various ALM types and future trends in motor design and control.
Researchers developed an AI-integrated diagnostic method that detects electrical faults in multiphase motors, enabling precise real-time severity grading. The method reduces maintenance costs and prevents undetected motor short circuits from escalating into life-threatening electrical fires.
A novel capacitorless solid-state power filter (SSPF) has been developed for single-phase DC-AC converters, eliminating the need for LC filters and dc-link capacitors. The proposed concept demonstrates a significant reduction in critical components, leading to enhanced efficiency and reliability.
Researchers have summarized advanced field weakening (FW) control strategies for permanent magnet synchronous motors (PMSMs), including offline calculation methods, online computational methods, and model predictive control (MPC)-related methods. The studies highlight the importance of balancing computational difficulty with control ro...
The paper reviews thermal design of SiC power modules for motor drives in electric vehicles, focusing on optimizing irregular Pinfin structures and collaborative design with DC bus capacitors and motors. Irregular Pinfin arrangements can enhance heat transfer efficiency and reduce pressure drops compared to regular layouts.
The paper proposes a novel method for modeling hybrid renewable energy systems using high-efficiency converters and generators. The research results show that the front-end converter is suitable for isolating sources from loads and enhancing DC bus voltage, with simple control algorithms and reduced switching losses.
Researchers designed a hybrid metamaterial slab for cardiac pacemakers, achieving an efficiency of 62.39% at 20mm transmission distance. The structure also showed superior magnetic leakage shielding performance in finite element simulations.
This study introduces a novel package for high-power density SiC power modules using stacked DBC packaging, enabling the parallel connection of more chips. The design reduces parasitic inductance and increases current carrying capacity, resulting in improved electrical performance and manufacturing efficiency.
Researchers develop high-performance copper/graphene composite conductor for high power density motors. The composite wire exhibits extremely high strength and electrical conductivity at both room and elevated temperatures.
Researchers developed an Adaptive Filter with Compensation (AFC) to suppress rotor vibrations in AMB systems, reducing amplitudes by up to 77% through simulations and experimental validations. This method paves the way for more reliable and efficient AMB systems, transforming high-precision industries.
Researchers developed a novel approach to estimate permanent magnet temperature (PMT) directly from measurements, simplifying implementation and improving accuracy. The method is computation-efficient, non-invasive, and independent from winding temperature rise and inverter distortion.
A proposed speed loop pseudo derivative feedforward (PDFF) controller-based direct torque controller for a PMSM drive reduces oscillations and overshoots. Simulation results show the dynamic performance of the proposed system is superior to PI controllers, with less overrun and improved stability.