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This paper presents the DC analysis of the Negative Output Elementary Luo Converter (NOELC), which includes the continuous-conduction mode (CCM) voltage gain and the boundary condition between the CCM and the discontinuous-conduction mode (DCM). The main features of the NOELC are the high gain with small ripple and the reverse output. Additionally, we address the parameters design of the NOELC and...
In this paper, a novel model reference adaptive (MRA) based speed and rotor position estimation strategy is proposed for the surface mounted permanent magnet synchronous motor (SPMSM). In the proposed strategy, a new adaptive law is proposed by considering the MRA adaptive law as a controller. Furthermore a parameter self-turning strategy and a speed compensation strategy are proposed to improve the...
The aircraft braking is a complex dynamic and kinematic process, involving the brake wheel and runway status, loaded state and anti-skid control strategy and other aspects, including sophisticated uncertainties and nonlinear factors. This paper aiming at the nonlinear tire model with unknown parameters, combined with the empirical fitting slip rate coefficient curve based on the linear identification...
This paper proposes a Model predictive control (MPC) for linear induction motor drive. Model Predictive Control (MPC) is a strong method for controlling drives of the linear induction motor. In comparison with the Direct Force Control (DFC), MPC is more precise and more effective in the selection of the voltage vector. The results show that this control method has a better performance in comparison...
The linear induction machine (LIM) suffers heavily from low efficiency due to its large air-gap length, the influence of end-effects, and the partial load conditions. Several loss minimization control (LMC) techniques have been developed for LIM to adjust the flux to an optimal level to reduce the losses in the steady state. However, these methods are not applicable during dynamic process, since it...
In this paper, a method is proposed for detection and estimation of high-resistance connection (HRC) for permanent magnet synchronous machine (PMSM) derives. The method is based on the relationship between the zero sequence voltage components (ZSVC), the stator currents and the resistance deviation of each phase winding. In the proposed method, the HRC fault detection, fault severity estimation and...
In order to estimate the attitude angle accurately, improve the accuracy of attitude and heading reference system(AHRS), aiming at larger errors of extended Kalman filter(EKF) in estimating attitude angle, a method based on iterative LM-CDKF algorithm has been proposed to estimate the attitude angle. In the paper, iterative filtering theory and Levenberg-Marquardt method is introduced into the central...
For complying with power distributor regulation, the electric car chargers have to address the line current harmonic mitigation problem. The conventional solution is a proportional integral controller on the rectified current with a feed-forward anticipation action on the input network current. In this work we take advantage of a harmonic description of the electric car charger in order to propose...
Estimating the difficulty of tasks is imperative for project planning, task assignment, and cost calculation. However, little is known about how and for what purpose software practitioners estimate task difficulty in their day-to-day work. In this paper, we interviewed 15 professionals to understand their needs and perceptions when estimating task difficulty. We find that practitioners do estimate...
This study presents a sensorless static model based with output current estimation method for digital PWM control dc-dc converters. The static model is a feedforward type control method adopted in coordination with the standard PID control and it can improve characteristics of wide input and output range of dc-dc converter by using information of output current. The one of the drawbacks of the static...
This paper presents simple but effective cell balancing algorithm for serially connected lithium ion batteries based on the power to energy ratio balance and relative capacity estimation. Compared to simpler balancing algorithm such as voltage based cell balancing that begins balancing after cell imbalance is detected, the proposed algorithm can predict the imbalance between cells due to capacity...
At disaster sites, the use of Micro Unmanned Aerial Vehicles (MUAVs) is expected for human safety. One application is to support first-phase emergency restoration work conducted by teleoperated construction machines. To extend the operation time of a MUAV, the authors proposed a powerfeeding tethered MUAV to provide an overhead view of the site to operators. The target application is to be used outdoors,...
In recent years, the statistical inference and algorithm for the complex diffusion process of incomplete data have become a hot topic that scholars of probability and statisticians are concerned with and calls for further study. Based upon the all-directional, multi-angle random dynamic information flow research, this article expands the information flow research in the ordinary information space...
In order to estimate the accurate and real-time dynamic battery state of charge (SOC), owing to greater errors of extended Kalman filter (EKF) in estimating SOC, a method has been proposed to estimate the battery SOC based on LM-ICDKF algorithm. By using the two order RC equivalent circuit model, the MATLAB simulation tools are used to simulate the algorithm, this paper compares LM-ICDKF algorithm...
In this paper we present an optimization algorithm for simultaneously detecting video freeze and obtaining the minimum number of the frame required in motion intention estimation for real time robust video stabilization on multirotor unmanned aerial vehicles. A combination of a filter and a threshold is used to the video freeze detection, and for optimizing the algorithm, we find the minimum number...
In this paper, we show some experimental results of a proposed distance estimator based on the received signal strength indicator. We provide a fact that the proposed estimator outperforms the conventional one with respect to a theoretical analysis, computer simulations and experimental results.
This paper describes the design of a control strategy for robotic rehabilitation devices, aimed at recovering the motor skills of patients affected by particular diseases that damage the neuromuscular apparatus of the human body. There are two different but related activities in the project here described. At first, a non-linear parameter identification procedure, based on the Recursive Least Square...
Gyro-less attitude and angular rate estimations are of great importance in small, low-cost spacecraft, where high performance gyroscopes are not available due to multiple limitations. Recent development of accurate, high-bandwidth attitude sensors such as high data-rate star trackers, makes this approach implementable. The gyro-less estimator propagates the estimated states by nonlinear attitude dynamics...
The accurate estimation of state of health (SOH) of Lithium-ion battery is critical to guarantee safety and reliability of whole system. Large number of researches on SOH have many strict constrained assumptions, such as repeated same load, which differ from real situation. In this paper, the study focus on variable load profile. An artificial neural network is designed to determine the battery SOH...
Estimation of electromagnetic torque using Kalman Filter for sensorless Direct Torque Controlled (DTC) brushless DC (BLDC) motor having trapezoidal back emf is presented in this paper. Predefined voltage vector from an optimal switching table is used for getting faster torque response in comparison to the conventional speed controlled drive with six step PWM technique. Quasi square wave current is...
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