680 research outputs found

    A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor

    Get PDF
    The precision of initial rotor position detection is critical for the start and running performance of permanent magnet synchronous motor (PMSM). This work describes a new open loop approach for identifying the initial position of a PMSM with an incremental encoder, even when a constant load torque is being applied. By giving a testing current with high frequency to the stator winding, the initial rotor position of a PMSM can be detected with reasonable accuracy. The rotor almost does not move during the process of identification. The FFT algorithms are used to remove the phase bias effects in identification. Our approach is quicker and simpler than the conventional approaches

    A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device

    Get PDF
    This paper presents a novel approach, Adaptive Spectrum Noise Cancellation (ASNC), for motion artifacts removal in Photoplethysmography (PPG) signals measured by an optical biosensor to obtain clean PPG waveforms for heartbeat rate calculation. One challenge faced by this optical sensing method is the inevitable noise induced by movement when the user is in motion, especially when the motion frequency is very close to the target heartbeat rate. The proposed ASNC utilizes the onboard accelerometer and gyroscope sensors to detect and remove the artifacts adaptively, thus obtaining accurate heartbeat rate measurement while in motion. The ASNC algorithm makes use of a commonly accepted spectrum analysis approaches in medical digital signal processing, discrete cosine transform, to carry out frequency domain analysis. Results obtained by the proposed ASNC have been compared to the classic algorithms, the adaptive threshold peak detection and adaptive noise cancellation. The mean (standard deviation) absolute error and mean relative error of heartbeat rate calculated by ASNC is 0.33 (0.57) beats·min-1 and 0.65%, by adaptive threshold peak detection algorithm is 2.29 (2.21) beats·min-1 and 8.38%, by adaptive noise cancellation algorithm is 1.70 (1.50) beats·min-1 and 2.02%. While all algorithms performed well with both simulated PPG data and clean PPG data collected from our Verity device in situations free of motion artifacts, ASNC provided better accuracy when motion artifacts increase, especially when motion frequency is very close to the heartbeat rate

    Morinda Officinalis

    Get PDF
    Varicoceles (VCs) are the predominant cause of male infertility and are a risk factor for chronic venous disease. Morinda officinalis (M. officinalis) is a traditional Chinese medicine used to tonify the kidney and strengthen yang. In this study, we evaluated the effects of water-soluble polysaccharides extracted from M. officinalis (MOPs) on gonadotropin-release hormone (GnRH) secretion in a classic experimental left VC (ELV) rat model. Intragastric administration of MOPs at a dose ranging from 50 mg kg−1 to 100 mg kg−1 facilitated improvements in sperm parameters and seminiferous epithelial structures, modulated serum hormone profiles, and stimulated GnRH synthesis and release in the hypothalamus. MOPs also promoted spinogenesis and functional spine maturation in the arcuate nuclei (Arc), wherein they acted mainly on Kiss1 and GnRH neurons. Moreover, MOP-mediated Kisspeptin-GPR54 pathway upregulation and MAPK phosphorylation activation may have been responsible for increases in GnRH synthesis and release. Collectively, the findings of this study indicate that MOPs were effective in stimulating GnRH secretion, possibly by upregulating the Kiss1/GPR54 pathway and enhancing synaptic plasticity, and that MOPs can serve as a therapy for early VCs

    Guaranteed Cost Control for Multirate Networked Control Systems with Both Time-Delay and Packet-Dropout

    Get PDF
    Compared with traditional networked control systems, the sampling rates of the nodes are not the same in the multirate networked control systems (NCSs). This paper presents a new stabilization method for multirate NCSs. A multirate NCSs with simultaneous considering time-delay and packet-dropout is modeled as a time-varying sampling system with time-delay. The proposed Lyapunov function deceases at each input signal updating point, which is largely ignored in prior works. Sufficient condition for the stochastic mean-square stability of the multirate NCSs is given, and the cost function value is less than a bound. Numerical examples are presented to illustrate the effectiveness of the proposed control scheme
    corecore