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A neurocontroller for rectifier in HVDC transmission system, using BP artificial neural networks, is presented in this paper. And the action dependent Adaptive Critic Designs (ADHDP), a member of the adaptive critic designs family is used for the design of this rectifier neurocontroller. Simulation for HVDC system model with proposed neurocontroller and conventional PID controller were carried out...
The integrated control of the power system should combine kinds of different control methods to gain the expected performances due to the very complex uncertain nonlinear power system. The combination of backstepping adaptive control and variable structure control has some complementary when handling the uncertainty in nonlinear system. The backstepping adaptive variable structure excitation controller...
In this paper, an adaptive tracking control algorithm and its step by step implementation procedure are developed for a class of nonlinear plants within a U-model framework with unknown parameters. A new technique is proposed to design an online control algorithm using the Radial Basis Functions Neural Network (RBFNN).
To properly manage the variability of wind generation, this paper presents an adaptive procedure for short-term forecasting of wind speed based on recursive least squares. Firstly, hourly wind speed data are transformed to make their distribution approximately Gaussian and standardized to remove the diurnal nonstationarity. Then, the procedure fits an AR model to the standardized transformed hourly...
This paper proposes a on-line modeling and control approach through Takagi-Sugeno (T-S) fuzzy-neural model for a class of generalized multiple input multiple output (MIMO) nonlinear dynamic systems with external disturbances. Nonlinear systems are exactly formed a linearized system via the mean value theroem, and then the T-S fuzzy-neural model can approximate the linearized system. Then on-line identificatoin...
The applications of Neural Network (NN) in VV&A of complex simulation system were researched and discussed in this paper. Then the survey of accreditation method in simulation system was introduced briefly and the disadvantages of the traditional accreditation method were pointed out. After that, the relation between the accreditation and reliability evaluation was analyzed. Finally, a method...
To increase the intelligently reconfigurable capability of manufacturing cell control system, the basic function block model adapting to intelligently reconfiguring is proposed, and intelligently reconfigurable manufacturing control system utilizing the model as function cell is constructed. Under the research background of a manufacturing cell, Unified Modeling Language (UML) class diagram method...
In order to reject disturbance from the variation of load, an estimation method for load parameters for PMSM is presented to online identify moment of inertia and load torque. This method is based on model reference adaptive system through Popov's Hyper stability criteria. The two quantities are essential for the PI controller to be adaptive for maintaining the system's robustness. The simulation...
Wind tunnel testing is the effective method to research high speed train aerodynamics. It is one of the key steps to ascertain the model scale for wind tunnel testing, because scaled model is always introduced into wind tunnel testing, due to the huge body. Based on the structure of aerodynamic and aero-acoustic wind tunnel, using computational fluid dynamics (CFD), focus on middle car of three connected...
Robust and real-time moving objects detection is a critical issue in computer vision application. The Gaussian Mixture Model (GMM) is the most common method to build a background. In this paper, three GMM algorithms, the classical one, L-window and the algorithm proposed by P. Wayne and Johan, are discussed, and videos of variety scenes are used in the comparison between their performances. Our study...
Currently, DC motor of automatic doors speed regulating system utilizes PID control which has parameters tuning difficulties, poor stability, and imprecise control. To solve the above existent problem, this paper adopts the control strategy of fuzzy algorithm combining with PID control, introducing method of fuzzy PID control used in DC motor speed regulating system of automatic doors. Through establishing...
In this thesis, we propose a skin color detection algorithm based on adaptive model and design Gaussian classifier. Confirm face according to the geometric relationship of face features and organs. To raise the detection rate, we use the mosaic rules to make a further verification. Experimental results show that the method we put forward can detect the facial area correctly.
Existing drought evaluation method which people easy to appear the interference of artificial weights, this paper puts forward projection pursuit model for evaluating drought based on logistic curve and selects the drought evaluation index as projection parameters to seek its best projection direction. Taking Qiqihar area as research objects, the departure ratio of rain-fall, dry index and Z index...
This paper focuses on a simulation research by way of combining nonlinear adaptive Kalman filter with PID control, aiming at resolving the space attitude and the PID control system for an underwater robot. The results reveal that the nonlinear adaptive Kalman filter, compared with general Kalman filter PID control system, can inhibit white noise pollution more effectively. Thus, the control effect...
Recently, because of the blind spot of oversize vehicle, accident happened repeatedly when the vehicle turned right. Therefore, to solve the problem, an embedded system based on computer vision technology which can early warn driver is proposed. Capture image with CCD camera, extract the background by using background subtraction, and build background model by the way of weighted average. After that,...
This paper develops an adaptive fuzzy course controller with rudder dynamics. The ship model is described by a third order nonlinear model with unknown parameters and unknown virtual control gain function. The Takagi-Sugeno (T-S) type fuzzy systems are used to approximate unknown system functions and a systematic design procedure is developed by combining dynamic surface control (DSC) technique. With...
The recognition and suppression of small features from solid B-rep models plays an important role in effectively generating the qualified mesh for analysis. This paper presents an automatic algorithm for recognizing small depression features for the purpose of mesh generation. The innovation of the algorithm lies in the recognition capability for filleted or chamfered depression feature. Results of...
In order to explore the adaptability of distributed hydrological models to forecast small watershed floods, This article applies HVB model, TOPMODEL model as well as Xin'anjiang model to establish distributed hydrological models and imitate 50 floods in Fengliang River as the tributary of Hanjiang River respectively. Results show that the flood imitations of such three models achieve good effect with...
Target maneuvering time constant has an important effect on the performance of interception missiles, but it is not appropriate to make constant and known assumption of this time constant as some literatures did in actual interception scenarios. Because of the above reasons, a novel design method is presented. The shaping filter method is adopted to extend the original system for random maneuvering...
To prepare better qualified workers, we developed a simulation training base for high vocational students of construction major. Simulation base is as close as possible to real professional environment. it reflects the latest technology and professional requirements. It also reveals the process of building construction. Situation base shortened the time for students to adapting the post jobs. It enable...
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