Volume 2 Issue 4
Authors: Akinobu Asada; Makoto Katoh
Abstract: This paper presents the discrete values control induced by the variation method when the manipulated variable is not included in the evaluation function. This new control method is different but similar to previous bang-bang control methods. A single wing sail model was loaded on a cart with four wheel casters and straight line test runs were performed on a track to determine the effectiveness of discrete switching control.
Keywords: Discrete Control; Wing Sale; Tracked Vehicle; Bang-Bang Control
Authors: Shigeki Hirasawa; Kazuya Koike; Tsuyoshi Kawanami; Katsuaki Shirai
Abstract: Precise temperature control to decrease temperature change of works within 0.001°C is required in semiconductor manufacturing process. We analytically and experimentally study the model predictive control to minimize temperature change at an object position in a 2-dimensional vertical plate with a varying noise-heat-generation. The noise-heat-generation is that the heating is OFF and ON every 300 s, and it causes temperature change about 3°C without control. A control-heater in the plate is controlled with the model predictive control method using the step response pattern as a dynamic predictive model. In this work, we study the effect of error in the dynamic predictive model. We found that artificial error in the dynamic predictive model causes various patterns of temperature change at the object position such as periodical error and oscillation error. Experimental result of temperature change at the object position is 0.08°C and has periodical error of 300 s period using the averaged step response pattern obtained by experiment. It is because the step response pattern obtained by experiment has random noise error. The temperature change at the object position is 0.07°C and has periodical error of 600 s period using the step response pattern obtained by the network model calculation. It is because the step response pattern obtained by the network model calculation has some modelling errors entirely.
Keywords: Precise Temperature Control; Heat Transfer; Process Control; Model Predictive Control; Dynamic Predictive Model
Authors: Jianzhong Zhang; Peng Liu
Abstract: Extensive use of cutting fluid causes environmental pollution and increases the processing cost. The improvement of cutting fluid is a serious problem the processing industry faces with. The paper introduces the method of how to improve the cutting fluid and dry cutting that stop using the cutting fluid. Conducted ultrasonic vibration reaming wet and dry experiments, similar to the results of both experiments, the vibration cutting can be realized in dry cutting and cutting quality is better. Dry cutting is a kind of green manufacturing.
Keywords: Cutting Fluid; Vibration Cutting; Dry Cutting