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Li Q.,Harbin Institute of Technology | Li X.,Harbin Jiancheng Group Corporation | Wang S.,Harbin Institute of Technology
Dianli Zidonghua Shebei/Electric Power Automation Equipment | Year: 2016

According to its requirements for high metering accuracy, a basic measuring error consistency model for a batch of single-phase intelligent electrical energy meter is established and the corresponding optimization objective and constraint of its tolerance design are proposed. A tolerance design method for discrete design variables is proposed based on the concept of integer linear programming and the tolerance design of metering circuit for a type of single-phase intelligent electrical energy meter is optimized with the production cost as the objective and the range of measuring error as the constraint. The corresponding component tolerance grades and production costs are obtained by setting different error ranges. The optimization results show that, the proposed method controls the measuring error range while efficiently minimizes the cost, suitable for the tolerance design of single-phase intelligent electrical energy meter. © 2016, Electric Power Automation Equipment Press. All right reserved. Source

Liu W.,Harbin Institute of Technology | Liu J.,Harbin Jiancheng Group Corporation | Qiao L.,Harbin Institute of Technology
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

In the theoretical study and practical application of the instruments, the problem of nonuniform sampling signal reconstruction is an important research issue that is often confronted with. The use of polynomial approximation for reconstruction of traditional nonuniformly sampled signal is limited due to its huge computational cost. However, if the nonuniformly sampled signal to be processed has a periodicity, the processing speed can increase substantially. Hence, in this paper, polynomial approximation is introduced to reconstruct periodic nonuniformly sampled signal. Taking the advantage of periodic nonuniformly sampling's recurrence, the polynomial approximation algorithm is simplified to reduce the algorithm's computational cost significantly without sacrificing reconstruction precision. The simulation experiment for reconstructing periodic nonuniformly sampled signals is introduced to verify the feasibility and effectiveness of the simplified algorithm. The results show that the periodic nonuniform sampling signal is well reconstructed. © 2013 SPIE. Source

Yu T.-Q.,Dalian University of Technology | Yu T.-Q.,Heilongjiang University | Liu S.-W.,Harbin Jiancheng Group Corporation
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | Year: 2013

The problem of the simultaneous stabilization of linear, time-invariant, discrete-time systems is addressed. Using the strong transitivity approach, we establish sufficient condition for the existence of simultaneously stabilizing controllers based on the coprime factorization. Additionally, this paper presents a new methodology for the design of simultaneously stabilizing controllers for three plants that satisfy a sufficient condition. Finally, a simple example is presented to show the effectiveness of the result. Source

Wei C.,Harbin Institute of Technology | Huang R.,Harbin Institute of Technology | Li H.,Harbin Institute of Technology | Shan Y.,Harbin Jiancheng Group Corporation
MATEC Web of Conferences | Year: 2015

The trajectory optimization technology is one of the key technologies for hypersonic air-vehicle. There are multiple constraints in the process of hypersonic flight, such as uncertainty of flight environment, thermal current, dynamic pressure and overload. The trajectory optimization of hypersonic air-vehicle is facing with a great challenge. This article studies the direct shooting method, the Gauss pseudo spectral method and sequential gradient-restoration algorithm, among which the direct shooting method simply makes the control variables discrete in the time domain, and obtains the status value by explicit numerical integration; Gauss pseudo spectral method makes the status variable and control variable discrete in a series of Gauss points, and constructs multinomial to approximate to the status and control variable by taking the discrete points as the nodes; sequential gradient-restoration algorithm uses iteration to meet the constraints and minimize the increment of initial value of control and status variable in order to constantly approximate to the optimal solution on condition that the constraints meet first order approximation. Finally this article conducts a numerical simulation by taking the diving segment of hypersonic air-vehicle as an example for comparative analysis on those three algorithms respectively from, such as, the initial value selection, constraint handling, convergence speed and calculation accuracy. The simulation result indicates Gauss pseudo spectral method is a method with fairly good comprehensive performance. © Owned by the authors, published by EDP Sciences, 2015. Source

Huang D.-G.,Northwestern Polytechnical University | Huang D.-G.,Harbin Jiancheng Group Corporation | Zhang W.-G.,Northwestern Polytechnical University | Yang L.-B.,Northwestern Polytechnical University
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2016

For the approach stage when the unmanned aerial vehicle (UAV) loses of power, it is a special case that how to track a given approach path. A method of 3 dimensions Dubins path generated and tracked is proposed. Firstly, using Dubins curve solves the path planning problem which involves that the fault position of UAV is arbitrary and the real-time of the path solution is well. Secondly, for tracking the 3 dimension Dubins path, a method of adaptive nonlinear guidance based on the switching plane is designed. The switching plane deals with the transition issues between the arc and line guidance, while the adaptive law reduces the interacting between longitudinal and lateral guidance, which improves the tracking accuracy. Finally, the effectiveness of this method is proved by the simulation. © 2016, Chinese Institute of Electronics. All right reserved. Source

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