We have proposed methods of n Alternating Noise Canceling (ANC), one using a dual sensor and another using one sensor for the purpose of canceling noise on the transmission line when we measure the changing temperature. In this paper, we discuss a new method of ANC using a sensordummy. We make two signals by switching between the sensor output signals and the sensor-dummys. Even if the frequency band of the noise overlaps that of signal, the noise-canceling is possible using this method which cancels not only the noise on the transmission line, but also extraneous noise picked up by the sensor. In this case, the switching frequency of the analog switch should be four times in the Nyquist frequency the maximum frequency of the noise to be canceled. The accuracy of this method has been verified with experiments.
In this paper proposes, a new path control method with consideration on control ability of designed robot manipulator control system based on P representation. This P representation represents phase angles of a given path with respect to each axis of work space. Tracking speed of manipulator should be changed with phase of the given path. Determination of the tracking speed is made systematically on the basis of frequency response of the designed control system. The Designed trajectory is the minimum time trajectory and no trial-error procedure is necessary. This method is called as optimal trajectory planning. Unsolved problems in previously proposed methods considering control ability of designed control system are solved by the proposed optimal trajectory planning method. This method is applicable to multi-degree of freedom robot manipulators without difficulty. A parallel drive robot manipulator is taken as an example to show the effectiveness of proposed method.
The recursive bias compensated least-squares (RBCLS) technique is applied to the estimation of parameters of a linear plant in the presence of input-output and plant input noises. First, we evaluate the bias of the least-squares (LS) estimates of unknown parameters. Then, we derive an RBCLS algorithm that estimates the unknown parameters and noise variances simultaneously with the aid of the technique of Sakai and Arase. Computer simulation studies show that the performance of the RBCLS method is superior to those of RML/RELS and RIV methods applied to the same models.
According to the increase both in scale and complexity, problem-solvings in today's engineering are being forced to have a close relation to societal systems. This will tend, in turn, to produce conflicts referring to individual sense of value among the groups associated with decision making. To attain at a square and rational goal in such techno-socio-system, therefore, it becomes very important how we will deal with the conflicts. Concerned with such situation, in this paper, we have proposed a supporting system for group decision making in the paradigm of the systems approach. A procedure has been developed using the analytic hierarchy process (AHP) to reveal value structure and an interactive method of the multi-objective optimization to evaluate and adjust the attainability of each group's goal. Through numerical experiments applied to a rad-waste management system with risk evaluation, we have shown the proposed approach very promising to deal with such problem-solvings concerned here.
This paper describes an application of a programming system, K-NET to the development of control software for an automated guided vehicle system. K-NET is based on a high-level Petri net which makes it simple to express sequence controls. Procedural language can be also used for information processing. K-NET has an editor to input and edit control specifications expressed with Petri net ; a simulator to verify edited specifications ; a generator to convert the net to C source programs for a controller ; a reporter to print control specifications ; and a monitor to display controller status in real-time. K-NET can support all development stages including general design, detailed design, programming and testing. K-NET has been used in the development of control software for an automated guided vehicle system, and results show a 2/3 rds cost-saving over development with conventional methods in which only procedural language is used.