SUMMARYIn this paper, we propose a new type of membership functions (MSFs) and their efficient use to improve optimization of fuzzy reasoning using a steepest descent method. In self-tuning of fuzzy rules using the steepest descent method, an algorithm to avoid suboptimal solutions by modifying learning coefficients has been proposed, where piecewise linear MSFs were introduced. In such an algorithm, when learning data have a radically changing distribution, it is impossible to avoid suboptimal solutions.To overcome this problem, we propose to apply double right triangular MSFs to the self-tuning of fuzzy reasoning. By using these MSFs, radically changing grades can be represented easily. In addition, by a technique of simulated annealing (SA) we propose to move the peak positions of the MSFs according to the progress of learning so as to arrange the MSFs in certain positions where the learning data are changing radically. Compared with the algorithm using piecewise linear MSFs, this new algorithm makes it possible to avoid suboptimal solutions more effectively. The advantages of this new technique are demonstrated by numerical examples involving function approximations.
This paper describes a novel motor which is an improved SRM (Switched Reluctance Motor) and a study of its driving circuit. Our objective is applying the motor to the EV(Electric Vehicles) for one of the solution of the rare earth issue. In order to realize it, control method of the motor and driving circuits must be developed. For the control method, DC chopper, phase controller and inverter are proposed so far. On the other hand, SRM has strong nonlinearity and some disadvantages. Due to the nonlinearity, computer simulation of the motor and its driving circuits are quite difficult. Therefore, we had to evaluate our method by experiments using real hardware. In this paper, at first, structural feature of the novel motor is explained. Then a principle of commutation circuit will be described. In addition, this paper presents a structure and operation of constant-current power supply which plays important role for control of the novel motor. Finally, results of experiments of the motor drive by using our driving circuits will be presented.
The bubble display controls the solenoid valve by PLC, generates the bubble in water, and shows the character and the figure with it. It is chiefly used in the several events. A present problem is a software problem and the operation when the display is changed because of its cable communication. The fact is that the displayed things are limited. Moreover, there is a fault that PLC is expensive. At this present research, both the application to communicate the data of the character and the figure drawn with the touch panel of the Android terminal with the control part on the bubble display by using Bluetooth and the control circuit that controlled the bubble display, were developed from the information. It became possible to output the pattern to the bubble display by drawing the pattern on the application of the Android terminal at present, and sending this to the control circuit.
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