Modelling techniques are proposed for describing a two-phase axial-flux brushless motor in a direct-drive electric vehicle. Similarity transformation and singular value decomposition (ST-SVD) methods are used to linearize the system model. Stationary and cosecant coordinate models are derived on the basis of the methods proposed. Decoupled inductances and constant torque relations are also obtained. The model proposed is a very useful aid in describing the system dynamics. Simulation and experimental results are illustrated to verify the validity of the model. The given system modelling techniques can provide valuable mathematical models for associated vector control.
This article discusses multi-mode vibration for the vibration motor in the washing process. Sinusoidal vibration modes for the speed servo command are carefully designed for flexible control. Different kinds of operating modes for possible automatic process control are provided. Three basic and five extended vibration modes for different operations are proposed. Simulation and experimental results will be compared to verify the formulation. To make the washing process more flexible, various servo commands are provided to be reconfigurable for the required vibration motion. Differing from the conventional approach of mechanically regulating the blade angle of the vibration motor, multi-mode vibration developed by the software approach is successfully proposed. It is easier for the washing process to be electrically regulated instead of it being a mechanical operation only. It is believed that this article will be beneficial for the application of an automatic washing process of the washing machine.
This paper proposes a fuzzy-DDG method to solve the multi-objective optimization problem in regard to the anisotropic conductive film (ACF) attach process for thin-film transistor liquid crystal display (TFT-LCD). As such, this paper has been motivated by a desire to decrease the usage of ACF materials in the ACF attach process. Herein, the experimental Taguchi method will be used to find the optimal solution for this problem. This paper will study the optimization problem of yield rate and tact time with respect to control factors of TFT-LCD. In using the Taguchi method, five test cases are discussed: the first involves the optimal yield rate problem; the second, the optimal tact time problem; and the third, solving multiple problems by simultaneously considering yield rate and tact time. Additionally, the conventional multiple performance characteristics index (MPCI) method is used, although it exhibits a less than optimal fuzzy inference structure, and fuzzification as well as defuzzification processes are required; in the fourth and the fifth cases, a new fuzzy DDG method is used to determine the multiple objective problems. Notably, the conventional fuzzy inference structure is not required in this algorithm and only graph-based matrix operations are required. Testing results show that the fourth and the fifth cases are more convenient in regard to arithmetical operations, compared to the third case. The fourth case illustrates the problem with the vertex order included only; only crisp potential values are derived. The fifth case illustrates the problem with the vertex S/N ratio values included and fuzzy potential values derived. Experimental results are provided to verify the validity of the proposed fuzzy DDG method.
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