Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control.

Enhancing the performance of 5ph-IPMSM control plays a crucial role in advancing various innovative applications such as electric vehicles. This paper proposes a new reinforcement learning (RL) control algorithm based twin-delayed deep deterministic policy gradient (TD3) algorithm to tune two cascaded PI controllers in a five-phase interior permanent magnet synchronous motor (5ph-IPMSM) drive system based model predictive control (MPC). The main purpose of the control methodology is to optimize the 5ph-IPMSM speed response either in constant torque region or constant power region.

Conservative management in a spontaneous pneumoperitoneum post breast augmentation and abdominoplasty: a rare case report.

This case report discusses a 32-year-old woman with no significant medical history who underwent elective bilateral breast reduction with auto-augmentation and abdominoplasty. Initially, her recovery was smooth, but on the third postoperative day, she exhibited tachycardia, tachypnea, and mild shortness of breath, while other vital signs remained stable. A chest X-ray revealed pneumoperitoneum, and a subsequent abdominal CT confirmed moderate pneumoperitoneum without gastrointestinal leakage.

Recent Developments in the Adsorption of Heavy Metal Ions from Aqueous Solutions Using Various Nanomaterials.

Water pollution is caused by heavy metals, minerals, and dyes. It has become a global environmental problem. There are numerous methods for removing different types of pollutants from wastewater.

Mercury Ion Selective Adsorption from Aqueous Solution Using Amino-Functionalized Magnetic FeO/SiO Nanocomposite.

This study focuses on the development of new amino-functionalized magnetic FeO/SiO nanocomposites with varying silicate shell ratios (1:0.5, 1:1, and 1:2) for the efficient elimination of Hg ions found in solutions. The FeO/SiO-NH adsorbents were characterized for their structural, surface, and magnetic properties using various techniques, including Fourier transform infrared spectrum (FT-IR), powder X-ray diffraction (XRD), scanning electron microscopy (SEM), Braunauer-Emmett-Teller (BET), thermogravimetric analysis (TGA), zeta-potential, and particle size measurement.