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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Yuehai Wang
North China University of Technology
Computer Science & IT

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SPICE Engine Analysis and Circuit Simulation Application Development Bing Chen; Gang Lu; Yuehai Wang
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 1: March 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i1.2832

Abstract

Electrical design automation plays an important role in nowadays electronic industry. Various commercial Simulation Program with Integrated Circuit Emphasis (SPICE) packages, such as pSpice Or CAD, have become the standard computer program for electrical simulation, with numerous copies in use worldwide. The customized simulation software with copyright need the understanding and using of SPICE engine which was open-source shortly after its birth. The inner workings of SPICE, including algorithms, data structure and code structure of SPICE were analyzed, and a engine package and application development approach were proposed. The experiments verified its feasibility and accuracy. 
Path Planning Optimization for Teaching and Playback Welding Robot Yuehai Wang; Ning Chi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Path planning for the industrial robot plays an important role in the intelligent control of robot. Tradition strategies, including model-based methods and human taught based methods, find it is difficult to control manipulator intelligently and optically. Thus, it is hard to ensure the better performance and lower energy consumption even if the same welding task was executed repeatedly. A path planning optimization method was proposed to add learning ability to teaching and playback welding robot. The optimization was divided into the welding points sequence improvement and trajectory improvement, which was done both on-line and off-line. Points sequence optimization was modeled as TSP and was continuously improved by genetic algorithm based strategy, while the trajectory between two welding points was on-line improved by an try-and-error strategy where the robot try different trajectory from time to time so as to search a better plan. Simulation results verified that this control strategy reduced the time and energy cost as compared with the man-made fix-order sequence. Our method prevents the robot from the computation-intensive model-based control, and offers a convenient way for self-improvement on the basis of human teaching. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2061
Co-Authors Bing Chen Gang Lu Ning Chi