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In this paper, in order to replace a conventional electric linear actuator which is consist of rotary PM machine and ball screw, a novel double-sided five-phase modular linear permanent magnet synchronous machine (MLPMSM) is proposed and designed with the same volume. The basic structure of the machine is firstly described and the major dimensions of one module are then optimized to acquire the largest...
In order to reduce the permanent magnet (PM) volume and combine the advantages of in-wheel motor, a novel modular-stator outer-rotor flux-switching permanent-magnet motor (MSOR-FSPM) whose PM volume is half of that in conventional outer-rotor flux-switching permanent-magnet (COR-FSPM) motor is proposed. However, cogging torque and torque ripple of MSOR-FSPM motor are especially worse due to the inherent...
Aiming at the nonlinear system, the method on PID controller optimization based on the data-driven technique is designed by combining the data-driven theory with the PID control algorithm. Firstly, a clustering method which preferentially determines the clustering center is used to cluster the collected data. And then on the basis of the euclidean distance, add the angle relationship. According to...
This paper presents a passive fault tolerant control for the satellite attitude systems with unknown external disturbance and actuator fault. Firstly, the nonlinear satellite attitude dynamics with actuator fault are given. Then, under the framework of backstepping control, a PI control with adaptive tuning gain is designed, which aims to provide added robustness in the presence of large and fast...
Nowadays, molecular computing and artificial intelligence have drawn intensive attentions from both academia and industry. Therefore, people begin to seek possible combination of these two promising areas. In this paper, with the aid of chemical reaction networks (CRNs), a design methodology of realizing the key block of fast convolution unit (FCU) in convolutional neural networks (CNNs) is proposed...
It is prevalently known that Markov chains have been successfully applied to many fields such as digital communications, queuing theory, and finance. However, when the system becomes massive and complex, the computational load will become too heavy to be handled by conventional approaches. To address this issue, molecular computation, which is inherently parallel, has been considered in this paper...
The expert selection is an important decision problem in the research and development process of complex product systems (CoPS) projects and suitable experts will facilitate the successful task achievement. Existing methods for the expert selection are mostly based on the individual performance, whereas the task characteristics of CoPS projects and the knowledge correlationship between candidates...
In this paper, a new fading memory recursive least square (FMRLS) algorithm is proposed based on the squared error loss function (SELF) to study the selective catalytic reduction (SCR) flue gas denitration system of 600MW unit in a power plant. And a direct method is adopted to identify the model parameters and delay time of the closed-loop system under different operating conditions. The results...
Echo state network (ESN), a novel recurrent neural network, has a randomly and sparsely connected reservoir. Since the reservoir is very large, the collinearity problem may exist in ESN. To overcome this problem and get a sparse architecture, an adaptive lasso echo state network (ALESN) is proposed, in which the adaptive lasso algorithm is used to calculate the output weights. The proposed ALESN can...
The widespread use of mobile devices has led to the continuous innovation of information service technology. This paper analyzes the problems of service implementation in the absence of infrastructure, and proposes a service optimization solution in wireless mobile network environment, which is designed from three levels of service deployment service framework and service optimization, and effectively...
Based on the requirement of gain improvement and directivity in the wireless communication, we proposed a “V” antenna reflector, which belongs to a kind of artificial magnetic conductor (AMC). The reflector could be placed near the antenna and does not change the antenna's design. It contains two planar reflectors built from air loaded AMC units on two layer dielectric substrates. The gap of air loaded...
In this paper, control system and simulation of an arc-linear permanent-magnet synchronous machine with normal armature windings and compensation windings are researched. Considering the special structure of the machine, the mathematical model of the machine is investigated and established. The control scheme and the control system for the machine are also researched to reduce the torque ripple for...
This paper presents an electro-thermal based junction temperature (Tj) estimation method of insulated gate bipolar transistor (IGBT) power module. Firstly, the internal structure of IGBT and its transient characteristics are researched, through which the factors affecting the power loss as well as its basic influence rule are analyze and the multivariable loss calculation model is obtained. And then...
In this paper, a novel 5-phase double-sided C-core modular linear permanent-magnet synchronous machine (MLPMSM) used for the linear steering engine is researched. Firstly, the structure of the MLPMSM is depicted. Then the thrust produced by one module and the total thrust force of the machine are deduced and analyzed. In the ideal condition, all the harmonics in the thrust force can be eliminated...
A fourth-order Butterworth active Gm-C complex IF filter for dual-mode GNSS receiver is presented. This filter operates at center frequency of 7.161MHz and in bandwidth of 4MHz with pass-band gain of over 10dB and image rejection of over 35dB, which meets requirements of BD2 and Galileo Systems. The proposed CMOS fully differential transconductor has wide tuning range, high linearity and low power...
This paper focuses on the rapid regression modeling research for the design optimization of Permanent magnet synchronous linear motors (PMSLM) which are applied in the linear motion machines. Based on the Finite Element Analysis (FEA), the initial PMSLM model is built and the modeling data of optimization are obtained. Then, the machine learning regression algorithm named K-Nearest Neighbor Algorithm...
A kind of arc-linear axial flux permanent-magnet synchronous machine (AL-AF-PMSM) used for scanning system is researched in this paper. Due to the characteristics of the three-dimensional (3-D) magnetic field, 3-D finite element method (FEM) is usually required to analyze the AF-PMSM. However, 3-D FEM is generally too time consuming. In order to avoid this problem, an approximate equivalent 2-D calculating...
Magnetic resonance amide proton transfer (APT) imaging has proved its potential for detecting tumors and evaluating treatment response by depicting chemical exchange saturation transfer effect between the endogenous protein/peptide amide proton and bulk water. However, conventional asymmetry analysis for APT effect measurement is susceptible to concomitant contributions, particular semisolid magnetic...
In order to overcome the on-line monitoring system's technical problems for polluted insulators, which are susceptible to EMI(electromagnetic interference), on-site power supply required, poor accuracy and low reliability, this paper proposes an insulator surface ESDD (equivalent salt deposit density) detection scheme for contamination measure based on high humidity-sensitive PI-FBG (Fiber Bragg Grating...
The problem of surface charge accumulation on gas-insulator interface is one of the critical factors for the insulation of DC-GIL. A GIL experiment platform which can heat central electrode with variable temperature is built to investigate the surface charge under different temperature. The surface potentials of insulator at different temperature under negative voltage are measured and the effect...
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