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Lin W.-B.,National Yunlin University of Science and Technology | Chiang H.-K.,National Yunlin University of Science and Technology | Shih K.-R.,National formosa University | Chen C.-A.,Electronic Vehicle and System Verification Group R and D Division
Artificial Life and Robotics | Year: 2010

This article proposes the PC-based LabVIEW as the software to develop the algorithm of the robust complex extended Kalman filter (RCEKF) to detect the parameters of the voltage signal in power systems. The hardware used is a sample-and-hold card and a data acquisition (DAQ) card to extract the data from an outside system to the PC, and the program will compute the amplitude, frequency, and phase of the voltage signal with RCEKF. To validate the performance of RCEKF, the voltage signal from a function generator was applied to check the feasibility of the algorithm. This application was also used in the Taiwan Power Company (TPC) secondary substation in Sijhou, Taiwan. © 2010 International Symposium on Artificial Life and Robotics (ISAROB). Source


Chiang H.-K.,National Yunlin University of Science and Technology | Lin W.-B.,National Yunlin University of Science and Technology | Chang C.-Y.,National Yunlin University of Science and Technology | Chen C.-A.,Electronic Vehicle and System Verification Group R and D Division
Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 | Year: 2011

This paper presents design and implementation of a super-twisting second order sliding mode controller (SOSMC) for a synchronous reluctance motor. The second order sliding mode control is an effective tool for the control of uncertain nonlinear systems since it overcomes the main drawbacks of the classical sliding mode control, i.e., the large control effort and the chattering phenomenon. Its real implementation implies simple control laws and assures an improvement of the sliding accuracy with respect to conventional sliding mode control. This paper proposes a novel scheme that based on the technique of super-twisting second order sliding mode control. First, the SOSMC is derived by mathematics. Finally, the performance of the proposed method is verified by simulation and experiment. The proposed SOSMC shows the robustness for the motor parameters variation and the improvement of chattering phenomenon. © 2011 ISAROB. Source


Chen C.-A.,Electronic Vehicle and System Verification Group R and D Division | Chiang H.-K.,National Yunlin University of Science and Technology | Lin W.-B.,Far East University of Taiwan
Artificial Life and Robotics | Year: 2010

In this article, a sliding mode control (SMC) design based on a Gaussian radial basis function neural network (GRBFNN) is proposed for the synchronous reluctance motor (SynRM) system in electrical motorcycle applications. The conventional SMC assumes that the upper lumped boundaries of parameter variations and external disturbances are known, and the sign function is used. This causes high-frequency chattering and the high-gain phenomenon. In order to avoid these drawbacks, the proposed method utilizes the Lyapunov stability method and the steep descent rule to guarantee the convergence asymptotically, and reduce the magnitude of the chattering or avoid it completely. Finally, numerical simulations are shown to illustrate the good performance of our controller design. © 2010 International Symposium on Artificial Life and Robotics (ISAROB). Source


Chen C.-A.,Electronic Vehicle and System Verification Group R and D Division | Lin M.-C.,Electronic Vehicle and System Verification Group R and D Division | Jiang C.-S.,Electronic Vehicle and System Verification Group R and D Division
World Electric Vehicle Journal | Year: 2011

In recent years, the research of Battery Electric Vehicle (BEV) focuses on energy storage systems, drive system and control strategy. However, one of the important subjects to enhance the performance of BEV is to research the parameters of transmission until the power battery and other technologies are mellow. For the BEV drive system parameters design, such as motor power and output torque as well as transmission gear ratio and the matching have significant impacts on each other for driving range and performance of BEV. Hence, in BEV research and developmental phase, in order to meet the requirements of vehicle performance access to the best structure, generally it must base on different needs to optimize the parameters of the drive system and to consider the combination of vehicle operation among the various components. For this reason, it will be conducive to the rapid development and be widely used for BEV. Therefore, in this paper, the discussion of the design, analysis, matching and system integration of BEV component parameters is proposed, which can be used as a reference for the future development of BEV. © 2010 WEVA. Source

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