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A large number of wind farms access power system, which will bring new challenges to the security and stability of the power grid, because the stability of the power system is greatly influenced by the dynamic performance of the wind turbine. This paper describes a performance appreciation method of wind farm, which is proved practical and effective by the measured data of the wind farm.
For the purpose of filtering road spectrum this paper proposed an adaptive Kalman filtering (AKF) algorithm based on accurate autoregressive (AR) model. The proposed AKF can overcome the disadvantages such as complicated computation process and poor real-time performance when applying normal AKF. The algorithm can implement AKF by adjusting gain matrix Kk on the base of innovation. The process of...
Fuzzy learning algorithm of UAV is considered in this paper. It allows real time self-tuning of parameters of the controller's membership functions. The primary structure of the fuzzy controller is synthesized via “crisp” prototype based on the robust H2/H∞-optimization. It is shown that obtained control algorithm possesses high level of performance and robustness.
In order to enhance the precision of biofouling estimation, this paper uses Least Squares Support Vector Machine (LSSVM) to establish a prediction model based on the estimator with radial basis function kernel. The main Influencing factors include pH, conductivity, total number of bacteria, dissolved oxygen, TN, NH3-N was selected as the input variable, Biofouling as the output variable. The results...
In this paper, we present an adaptive servo controller for the voice coil motor (VCM) driven pointing mirror with parameters uncertainties. Based on the mathematical model of the VCM, the design procedure is divided into three parts, namely the position loop, angular velocity loop and the current loop, an adaptive backstepping method is applied for the controller design against the parameter uncertainties,...
An online monitoring system of alumina concentration in aluminium electrolysis has been designed directing at the difficult concentration measurement of alumina. Firstly, a current-measuring instrument with anodic guide rod is developed to collect data about the temperature of anodic guide rod and isometric pressure drop. Then a set of upper-computer software based on COM technology is produced, which...
Fuzzy time series has been utilized to solve the problem of time series prediction in diverse fields. In the fuzzy time series prediction, the fuzzy logical relations have great impacts on the prediction performance. To obtain the exact and complex fuzzy logical relations between the fuzzy variables for the time series prediction, we propose to extract them from the historical data and model them...
In this paper, the bilateral teleoperation control of a monocular vision-based formation system of quadrotors is proposed. Formation control can be decomposed into a two-level problem: center control and shape control of formation. On one hand, the suitable incorporation of human operation in the control loop can be exploited as a valid support for controlling the center of formation. Not only the...
In robotic radiosurgery for extra cranial cancers such as lung cancer, respiration tracking is necessary to maintain the treatment accuracy. This paper presents the design of a human chest motion simulator as a platform for respiration tracking validation. The simulator imitates the relationship between motion of human chest and lung caused by respiration. A mechanical design is proposed to meet the...
Due to the influence of various factors, the gravity anomaly data acquired with airborne gravity measurement is unavoidably mixed with a lot of noise, which doesn't have any apparent transition from useful gravity signal. Although most of the airborne gravity anomaly data noise can be removed through digital filter, the overlapped part cannot be eliminated because of the characteristics of lowpass...
Personalization recommendation can effectively solve the negative influence of information overload to users in the environment of big data. And the existing personalization recommendation model is insufficient in integrating the time characteristics of users' behavior. We build a new extend model of personalization recommendation based on the method of latent factor model. Time characteristics of...
In the environment of shortwave radio communication with all kinds of interferences, it is essential for an accurate and real-time observation of signals. In this article, a scheme for a hardware software co-design of a broadband-intermediate-frequency (IF) multi-frequency shortwave signal observation system is proposed. Firstly, the system samples IF shortwave signals, using the direct IF digital...
The calibration of inertial navigation system is a prerequisite for inertial navigation, calibration results have a direct impact on the quality of inertial navigation accuracy. It is a widely studied and applied technology with high technology maturation that calibrating inertia devices with high-precision rotary. The commonly used method is to estimate gyro parameters based on the rotational angular...
The fault-tolerance control in scale-free wireless sensor networks against cascading failure is analysed in this paper. Based on the node load redistribution and constant capacity of the scale-free wireless sensor networks, a new load distribution model is proposed under a single random node failure. By the probability generating function method, the relationships between the load and the largest...
According to the need of automatic weighing and pricing system for fruits in the supermarket and the limitation of current methods, this paper proposes a new segmentation method for fruits with plastic packing and a modified minimum distance classifier. Firstly, we segment images and obtain the region of interest (ROI) in the HSV color space. Secondly, we extract color features and texture features...
For the past several decades, offline handwritten character recognition is widely and deeply studied. However, the requirements of the identification results are constantly improving in practical applications. This paper presents a new classifier cascaded model to improve the accuracy of offline handwritten Chinese character recognition. New model is the fusion of modified quadratic discriminant function...
Target recognition is a fundamental research topic in the process of robot grasping. In this paper, we proposed an algorithm framework for object recognition based on local naive Bayes nearest neighbor with Kinect. With the emergence of local invariant feature detection, the method based on local invariant features gradually becomes the mainstream. Object recognition is realized through the feature...
Over-segmentation of a grayscale image is a typical problem in existing watershed algorithms. To overcome this problem, preprocessing is mainly applied to the grayscale image before performing the watershed transformation to generate a gradient or binary image. In this paper, a novel watershed algorithm based on the concept of connected-component labeling and chain code is proposed, which generates...
In view of old-fashioned digital display instrument of substation, an improved character recognition method for digital display instrument is proposed. It is a method mainly based on pulse coupled neural network which comes from study of cat's visual cortex neurons. Apart from synchronous oscillation that is one characteristic of pulse coupled neural network being used in image segmentation, the other...
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