With switching power supply being widely used in Smart Meter, there exists more restrictions on the performance of it. This paper designs a single-ended flyback switching power supply based on LNK364DN chips which is ...
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With switching power supply being widely used in Smart Meter, there exists more restrictions on the performance of it. This paper designs a single-ended flyback switching power supply based on LNK364DN chips which is used in intelligent single-phase table, Compares the advantages and disadvantages of the switching power supply and the traditional linear regulated power supply, and introduces the reaction type switching power supply design principle and working process. In order to satisfy the security requirements, this paper also designs the EMI suppression circuit, surge suppression current, clamp circuit, etc. The design process, including the maximum duty cycle including transformer, the primary inductance calculation, etc, of the flyback type switch power supply transformer is introduced in detail. The experimental results show that the switch regulated power supply has small volume, good electromagnetic compatibility, small ripple, low power consumption, high efficiency of AC/DC transform and excellent performance .
To improve the positioning accuracy in indoor environments, we use the Inertial Navigation System (INS) algorithm to perform the pedestrian tracking, and the measurements consist of two parts: the velocity error and t...
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ISBN:
(纸本)9781509006519
To improve the positioning accuracy in indoor environments, we use the Inertial Navigation System (INS) algorithm to perform the pedestrian tracking, and the measurements consist of two parts: the velocity error and the heading error. The velocity error can be gotten from the navigation result. Meanwhile, we get the heading error in two ways. First, taking the magnetometer as the heading resource, the magnetic perturbations can be eliminated through a new ellipsoid fitting based calibration algorithm. Furthermore, the building heading algorithm(BHA) is also adopted to aid the Inertial measurement Unit (IMU), the corresponding building heading can be derived based on the motion path. Finally, the Kalman filter (KF) is utilized to fuse the data in order to compensate the sensor error and navigation solution through a 15-dimentional state vector. As a result, some field trials were taken to prove the validity of the proposed algorithm. By contrast the result of Magnetometer (MAG)/BHA/INS and the Zero Velocity update (ZUPT) algorithms, we proved that the algorithm of MAG/BHA aiding INS can effectively improve the indoor positioning accuracy which shows better performance.
The Star Sensor can be used to assist the inertial navigation system (INS) for navigation and positioning, restraining the accumulated error caused by the inertial components. During the integrated navigation process,...
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ISBN:
(纸本)9781509006519
The Star Sensor can be used to assist the inertial navigation system (INS) for navigation and positioning, restraining the accumulated error caused by the inertial components. During the integrated navigation process, the Star Sensor is installed above the INS, generated installation errors between the INS body coordinate system and the Star Sensor body coordinate system. In order to increase the system accuracy, a new gyro error model is established in this paper which taken full account of various error factors. The gyro drifts and the gyro errors coefficients are considered as the state variables. The attitude information of Star Sensor is used as the high-accurate information to construct the observation with the attitude information of INS. Taken the nonlinearity of the actual system into account, the nonlinear filter Cubature Kalman Filter (CKF) is used to estimate the gyro errors commendably. The experiment results showed that the positioning error reduced a lot by utilizing this novel method.
The estimation of DOA is an important problem in sensor array signal processing and its industrial applications. Among all the solving techniques for DOA, the Stochastic Maximum Likelihood (SML) algorithm is well-know...
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ISBN:
(纸本)9781509041008
The estimation of DOA is an important problem in sensor array signal processing and its industrial applications. Among all the solving techniques for DOA, the Stochastic Maximum Likelihood (SML) algorithm is well-known for its high accuracy of DOA estimation. However, its computational complexity is very high because a multi-dimensional nonlinear optimization problem is involved. The Particle Swarm Optimization (PSO) algorithm is considered as a rather efficient way for multi-dimensional non-linear optimization problems in DOA estimation. However Conventional PSO algorithm usually needs a large number of particles and the iteration number is also a litter high when all the particles converge. As a result, the computational complexity is still a litter high. This paper proposes a low complexity Joint-PSO (JPSO) algorithm for SML estimation. It uses the solution of Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) and stochastic Cramer-Rao bound (CRB) to determine a novel initialization space. In this case, smaller number of particles and less iteration number are required. Therefore, the computational complexity can be greatly reduced. Simulation results are also shown to demonstrate the validity of proposed JPSO algorithm.
Planetary gearboxes play a significant role in helicopter transmission system. Fault diagnosis of planetary gearboxes is a key topic for health monitoring and maintenance of helicopter. The vibration signals of faulty...
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ISBN:
(纸本)9781509027798
Planetary gearboxes play a significant role in helicopter transmission system. Fault diagnosis of planetary gearboxes is a key topic for health monitoring and maintenance of helicopter. The vibration signals of faulty planetary gearboxes have complicated spectral structures due to its distinctive and complex structure and time-variant running operation condition, leading to the difficulty in fault diagnosis of planetary gearboxes. Considering that both the amplitude envelope and the instantaneous frequency of vibration signals are associated with the characteristic frequency of the faulty gear, we propose a vibration diagnostic method using the amplitude and frequency demodulation analysis. First, the vibration signal was decomposed into several proper rotation components (PRs) and a trend component by the improved intrinsic time-scale decomposition (IITD) method. Then the energy operator method was exploited to estimate the amplitude envelope and instantaneous frequency of the PR which contained obvious impacts. Finally, by analyzing the dominant peaks in the Fourier spectra of the demodulated amplitude envelope and instantaneous frequency with the theoretical characteristic frequency of each gear, we can diagnose planetary gearbox faults. The effectiveness of the proposed method is demonstrated by simulated signal analysis, and is validated by experimental signal analysis of a lab planetary gearbox with sun gear faults including a chipped tooth and a missing tooth.
The main obstacle faced in developing low cost-efficient solar cell stems from the spectral mismatch between the incident solar spectrum and the spectral response of solar ***,the resultant energy loss can be
The main obstacle faced in developing low cost-efficient solar cell stems from the spectral mismatch between the incident solar spectrum and the spectral response of solar ***,the resultant energy loss can be
A realization method for rotating speed measurement is put forward in this paper. Timer 1 of STM32F103 is used to count the external pulses and its timer 2 is used to count the internal clock pulses. Two timers are se...
A realization method for rotating speed measurement is put forward in this paper. Timer 1 of STM32F103 is used to count the external pulses and its timer 2 is used to count the internal clock pulses. Two timers are set in master-slaver synchronous mode, and the rotating speed is computed based on different M/T method. This realization method can ensure the two timers strictly synchronously work, and the counting value of the master timer can also be set dynamically according to rotating speed. This method has high measurement accuracy and wide measurement range, and is easy to realize.
Since the features of low energy consumption and limited power supply are very impor- tant for wireless sensor networks (WSNs), the problems of distributed state estimation with quan- tized innovations are investiga...
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Since the features of low energy consumption and limited power supply are very impor- tant for wireless sensor networks (WSNs), the problems of distributed state estimation with quan- tized innovations are investigated in this paper. In the first place, the assumptions of prior and posterior probability density function (PDF) with quantized innovations in the previous papers are analyzed. After that, an innovative Gaussian mixture estimator is proposed. On this basis, this paper presents a Gaussian mixture state estimation algorithm based on quantized innovations for WSNs. In order to evaluate and compare the performance of this kind of state estimation algo- rithms for WSNs, the posterior Cram6r-Rao lower bound (CRLB) with quantized innovations is put forward. Performance analysis and simulations show that the proposed Gaussian mixture state estimation algorithm is efficient than the others under the same number of quantization levels and the performance of these algorithms can be benchmarked by the theoretical lower bound.
For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity prunin...
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It is discussed that a new method for active power measurement under the conditions of distortion signals. Accurate measurement of the power consumed by the distorted signals has been focused on in recent years due to...
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