A5100778297- Higher Education and Teaching Methods
- Neural Networks Stability and Synchronization
- Electric Motor Design and Analysis
- Chaos control and synchronization
- Inertial Sensor and Navigation
- Carbon and Quantum Dots Applications
- Nonlinear Dynamics and Pattern Formation
- Nanocluster Synthesis and Applications
- Magnetic Bearings and Levitation Dynamics
- Advanced biosensing and bioanalysis techniques
- Magnetic Properties and Applications
- Sensor Technology and Measurement Systems
- Astronomical Observations and Instrumentation
North University of China
2022
Chongqing University
2020
Nanjing University of Aeronautics and Astronautics
2018
China University of Mining and Technology
2011
North China University of Water Resources and Electric Power
2005
This paper presents an effective method for calculating the current excitations optimal operating condition of interior permanent magnet (IPM) synchronous machines traction application. The relationships between torque, amplitude, and angle during operation are studied. For a given torque speed command, steps searching ideal can be simplified using script developed in ANSYS Maxwell, which significantly accelerates process evaluating performance creating efficiency map IPM machine.
In view of the existing problems synchronous motor vector control system with mechanical sensor, sensor less technology is studied. A novel rotor position estimation method without was suggested in this paper based on high-frequency signals injection into rotor. With structure itself as mathematical model for observer established according to principle rotary transformer. The high frequency signal injection. Simulation and experiment results show reliability a level precision method.
This article focuses on the impulsive synchronization of chaotic neural networks (CNNs) with time-varying delays subject to actuator saturation. By constructing discontinuous Lyapunov function and employing linear matrix inequality (LMI) approach, some sufficient conditions are derived guarantee object delayed networks. In addition, control methods in this have no strict requirements size time delay saturation domain, which is more flexible practical real system. Finally, a numerical example...