Energetic Macroscopic Representation and Inversion-Based Control of an Electrical Vehicle Using Modular Cascade Machines

International audienceModular Cascade Machines (MCM) system is a new kind of multi-machine system. It is expected to be well applied to the field of electrical vehicles. This paper deals with the global modelling and inversion-based control of a MCM-based electrical vehicle. Energetic Macroscopic Representation (EMR) is used to organize the dynamic model of the system, and the control scheme is deduced through inversion rules. The simulation validates the model and proves that EMR provides a convenient control to manage the modular machines to work in different operation points

A novel DOA estimation algorithm for a 5-element circular array

Under the influence of the radome of the active and passive radar, the uniform circular array (UCA) becomes non-uniform in the electromagnetic performance, so the accuracy of direction of arrive (DOA) estimation is not high. This paper presents a universal look-up table algorithm for 5-element circular array to solve the problem. Firstly, we traverse the view field of the radar to obtain the long baseline phase differences of each angle point and store them to obtain the lookup table. Then, we can solve the incoming signal's long baseline phase differences on the array and compare them with the phase differences stored in the lookup table according to the maximum cosine value criterion. Finally, we can get the closest point and the corresponding angle is the angle of the incoming signal. Numerical simulation results and experimental results verify the effectiveness of the algorithm

A kind of method of anti-corner reflector interference for millimeter wave high resolution radar system

With its simple fabrication, low economic cost, good interference effect, large interference range, etc., the corner reflector is now being widely used in anti-missile, anti-detection and other fields. This paper presents a broadband millimeter-wave radar system to cope with the interference. This system uses the technology of DBS imaging and image processing to combat the dilute interference as well as uses successively statistical tracking algorithm and Doppler domain tracking algorithm to combat the centroid interference. Firstly, the system images in the targets area and processes the DBS image using fast two-dimensional OSCA-CFAR algorithm, and then completes the clustering process to get the dispersion, length, amplitude, Doppler broadening and other information of each target in the image. Finally, the system can identify the corner reflectors and the other targets. The successively statistical tracking algorithm first counts the number of the range units that outstrip the amplitude limit near the strongest point of the echo. If the number is more than a certain percentage, this strong point will be regarded as the target point, otherwise the secondary point will be regarded as the strongest point, followed by analogy. The Doppler domain tracking algorithm is based on the different Doppler bandwidth and Doppler center which are caused by the different position and angle between the goals and the corner reflector. The corner reflectors are completely suppressed by the goals in some Doppler units, thus this algorithm can combat the centroid interference. So the radar system proposed by this paper can confront the corner reflector interference and this system has a very broad application prospect in the field of guidance and detection

A Hybrid Modular Cascade Machines System for Electric Vehicles Using Induction Machine and Permanent Magnet Synchronous Machine

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DOA estimation of LFM signals based on STFT and multiple invariance ESPRIT

In order to improve the angle measurement precision of LFM signals with a low computational complexity, a direction of arrival (DOA) estimation algorithm STFT-MI-ESPRIT is proposed in this paper. The algorithm is based on short time Fourier transform (STFT) and multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT). Firstly, the STFT of the array element’s output is calculated and the signals are transformed to the time-frequency domain. Then the spatial time-frequency distribution matrix can be obtained through selecting multiple single-source time-frequency points in the time-frequency plane and the signal subspace can also be obtained using Eigen decomposition. Finally, the multiple rotational invariant equation of the array based on STFT is obtained and the closed-form solution is obtained using the multi-least-squares (MLS) criterion. The simulation results show that the proposed algorithm can improve the estimation precision greatly compared with the traditional ESPRIT-like algorithms and its computational complexity remains the same in general. This paper also proposes that the STFT-MI-ESPRIT algorithm can use partial rotational invariances of the array instead of all the rotational invariances, which can reduce the computational complexity on the basis of ensuring the estimation precision basically. The simulation results verify the effectiveness of the conclusion

DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table

In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) and a lookup table method. The proposed algorithm does not require a spatial spectrum search and uses a lookup table to solve ambiguity, which reduces the computational complexity. To fully use the subarray elements, the DOA estimation precision is higher compared with existing algorithms. Moreover, the algorithm avoids the matching error when multiple signals exist by using the relationship between the signal subspace of two subarrays. Simulation results verify the effectiveness of the proposed algorithm

DOA estimation of LFM sources based on time-frequency interferometer in UCA

Based on the time-frequency (t-f) interferometer of the uniform circular array (UCA), a new direction of arrival (DOA) estimation algorithm of multiple linear frequency modulation (LFM) sources is proposed. Firstly, the cross smoothed pseudo Wigner-Ville distribution (SPWVD) of the elements’ output is calculated and the single source t-f points are selected by using a “noise threshold” procedure and cluster based algorithm. Then, by selecting different groups of sensor pairs, the proposed algorithm can solve the phase ambiguity of the t-f points by using a focusing based algorithm. And a lookup table based ambiguity resolution algorithm is also presented to reduce the computational complexity. The simulation results illustrate that the proposed t-f interferometer can be applied to multiple wideband LFM sources and it also can improve the DOA estimation precision compared with the traditional phase interferometer and sub-band interferometer. Especially in the low signal to noise ratio (SNR) and limited snapshots situations, the estimation root mean square errors (RMSEs) of the proposed algorithm are also within 3°