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This paper proposes a novel fault diagnosis method based on positive- and negative-sequence signatures in permanent magnet synchronous motors (PMSMs) with an interturn short circuit fault (ISCF). The proposed method diagnoses the ISCF severity and slight ISCFs only by the voltage and the current signals without the rotational angle and the model parameters such as the stator resistance and the inductances...
This paper proposes an early stage interturn short-circuit fault (ISCF) diagnosis method for permanent magnet synchronous machines. A fault indicator is suggested based on a new theoretical analysis of the relationship between the fault current and the rotor speed. The fault indicator is shown to be robust to the rotor speed changes in slight ISCFs. It is calculated by introducing negative-sequence...
In this work, we propose a novel convex combination algorithm incorporating two different-step-size adaptive filters derived from the logarithmic cost function. Recently, to incorporate the advantages of the different-order-norm-based cost functions without the need of a priori knowledge on signal statistics, the cost function using a logarithmic penalty was introduced. There are two different versions...
We propose an adaptive combination of a proportionate normalized least-mean-square with individual activation factors (IAF-PNLMS) and a normalized mean-square (NLMS) for the sparse system. The IAF-PNLMS has the fastest initial convergence rate among the algorithms for the sparse system. The NLMS has a low misalignment for various systems. To obtain both fast convergence rate and a low misalignment,...
Recently, fault diagnosis is becoming more important due to the increasing demand of using permanent magnet synchronous machines (PMSMs). In particular, inter-turn short fault (ISF) is one of the most frequent electrical faults in PMSMs. In this paper, we propose a method using negative sequence components (NSC). The NSC method not only calculates a fault indicator that is not easily affected by the...
Demagnetization fault of Permanent magnet synchronous machine (PMSM) degrades motor's performance. As the strength of permanent magnet (PM) decreases, inductance of the PMSM changes since flux density affects electrical steel's nonlinear characteristics. It makes difficult to estimate exact flux linkages of the PMSM to diagnose demagnetization fault. In this paper, we suggested analytic inductance...
We developed a robust state-of-charge (SOC) estimation algorithm which considers uncertainties of matrix including internal resistance for Li-Ion battery. We used a linear matrix inequality (LMI) to acquire gain of the observer for estimating SOC. The algorithm is less accurate than estimation results of other algorithms, but has simple and fast calculation by using a time-invariant observer gain...
A method for using radio-frequency identification tag floor based localization (RFTL) for indoor mobile robot localization is proposed. This method does not suffer from illumination or line of sight impairment issue, and it is less affected by the environment than is conventional localization. However, it faces an inherent limitation, in terms of its low accuracy. To overcome this problem, an efficient...
In the steel industry, numerical modeling of electric arc furnaces (EAFs) is an important method to improve the power quality. However, the complicated nature of EAFs makes this process rather difficult. In this study, the complex behavior of an EAF is analyzed using chaos theory and neural network. According to the embedding theorem, if the embedding dimension and delay time are chosen properly,...
A radio-frequency identification (RFID) tag floor based localization is recently proposed indoor mobile robot localization method that utilizes super-distributed RFID tag infrastructure (SDRI) installed on a working area. An RFID tag floor localization (RTFL) method is easy to scale up the working area and the number of robots and is reliable in the position estimation. There have been several researches...
In this paper, we propose a localization algorithm for a mobile node based on the IEEE 802.15.4a chirp spread spectrum (CSS). IEEE 802.15.4a is an alternative PHY for IEEE 802.15.4, which is used for wireless sensor networks, and it can be applied to ranging applications. Through CSS ranging, the coordinate of a CSS node can be calculated by using trilateration. This approach is usually used for mobile...
Direct frequency estimator (DFE) has recently been proposed for unbiased frequency estimation of a real tone in white noise. This paper proposes to improve the performance of the DFE using a convex combination of two DFEs. Each DFE is adapted independently to retain its performance advantage, and the estimation results are then adaptively combined for optimal performance. The convex combination scheme...
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