Hanaoka T.,Japan National Institute of Advanced Industrial Science and Technology |
Sakanishi K.,Japan National Institute of Advanced Industrial Science and Technology |
Okumura Y.,Maizuru National College of Technology
Fuel Processing Technology | Year: 2012
The CO 2 gasification behavior of biomass chars derived at 800 °C under N 2/CO 2/O 2 atmospheres (N 2: 17-100%, CO 2: 0-83%, O 2: 0-42%) and at 0.02 kPa and 1.0 MPa was investigated using the random pore model (RPM) at gasification temperatures of 800-1000 °C. The CO 2 gasification rate constants (K p) of chars derived at 0.02 kPa increased with the Brunauer-Emmett-Teller (BET) specific surface area up to 417 m 2 g - 1 and were 1.5-3.2 times those derived at 1.0 MPa. In particular, K p for the char derived at 0.02 kPa and N 2/CO 2/O 2 = 18/41/41 vol.% exhibited the maximum values and K p (0.3 min - 1) at 900 °C for the char was 1.7-2.5 times that of chars under other conditions. K p at a given gasification temperature for chars derived at 1.0 MPa was almost independent of N 2/CO 2/O 2 contents. Chars derived at 0.02 kPa had more amorphous structures and much higher BET specific surface areas (189-417 m 2 g - 1) and pore diameters (0.10-0.24 cm 3 g - 1) with an average pore of 2.2-2.4 nm. The char derived under N 2/CO 2/O 2 = 18/41/41 vol.% had a BET specific surface area of 417 m 2 g - 1 and a pore volume of 0.24 cm 3 g - 1, and an average pore diameter of 2.3 nm. Those derived at 1.0 MPa had BET specific surface areas, pore volumes and average pore diameters of 2.1-4.3 m 2 g - 1, 0.01-0.02 cm 3 g - 1, and 15.9-22.8 nm, respectively, and these properties were almost independent of N 2/CO 2/O 2 contents. © 2012 Elsevier B.V.
Shin-Ike K.,Maizuru National College of Technology
Proceedings of the SICE Annual Conference | Year: 2010
In general the number of neurons in the hidden layer of multi-layer neural network is determined by trial and error of researchers. There is also an information criteria to determine the number of neurons in the hidden layer. In this paper, we propose a two-phase method to determine the optimal number of neurons in the hidden layer of a 3-layer neural network. In the first phase, candidates of the number of neurons in the hidden layer are determined by using the back-propagation method. In the second phase, the optimal number of neurons is determined by considering the generalization capacity. It is found from the prediction results that the two phase method for determining the number of neurons in the hidden layer is superior to the decision method of trial and error of researchers. In addition, since the number of neurons in the hidden layer can be determined in a short time, it is thought that the proposed method is effective. © 2010 SICE.
Kanamori M.,Maizuru National College of Technology
Proceedings - IEEE International Conference on Robotics and Automation | Year: 2014
The present paper describes finite-gain L2 stability guaranteed locally by the proposed anti-windup adaptive law for Euler-Lagrange systems with actuator saturation. All constant parameters of the robot system are estimated for an arbitrary target orbit. In order to achieve finite-gain L2 stability and ensure adaptive tracking performance, an output saturation function of the tracking error is introduced. The finite L2 gains are derived considering four actuator saturation cases, and finite-gain L2 stability is guaranteed locally based on passivity. The control performance is verified through numerical simulations using a two-link robot arm. © 2014 IEEE.
Takatani T.,Maizuru National College of Technology
WCTE 2014 - World Conference on Timber Engineering, Proceedings | Year: 2014
3-D non-linear collapsing process analysis of an old two-story wooden house, "Kyo-machiya" structure, was conducted against a strong earthquake ground motion with the Japan Meteorological Agency (JMA) seismic intensity of "6 upper" level, in order to investigate the seismic behaviour of Kyo-machoya structure built by a Japanese traditional framedconstruction method. A non-linear behaviour of timber elements in the wooden house during a strong earthquake ground motion can be simulated by this collapsing analysis. As a result, seismic response of the wooden house depends on the seismic intensity of the input earthquake motion in the collapsing analysis. Also, there seems to be a possibility that the old two-story wooden house may be collapsed by a strong earthquake motion with the seismic intensity of "6 upper" level.
Kanamori M.,Maizuru National College of Technology
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2012
Finite-gain L2 stabilization is achieved locally for a system using a PID set position controller and a newly proposed static anti-windup compensation for Euler-Lagrange systems with actuator saturation and external disturbances. In a closed-loop nonlinear system with feedback and input saturation, L2 stability of the Euler-Lagrange systems is guaranteed based on the passivity of anti-windup compensation. The control performance to counter an external disturbance added for the purpose of input saturation is verified by numerical simulations and experiments using a two-link robot arm. © 2012 IFAC.