Entity

Time filter

Source Type


Gong Q.H.,Luzhou Vocational and Technical College
Advanced Materials Research | Year: 2014

The principle of double-input and single-output fuzzy controller has been analyzed in detail. Aimed at the frequency conversion system of the pump in wastewater treatment we has conducted the research of fuzzy control algorithm, In frequency control system we adopt double input and single output basic fuzzy controller. The simulation results show that using the fuzzy controller to control frequency converter to realize AC variable speed of motor can achieve value quickly, and control effete is smooth, the dynamic characteristics of system are also good, reaching the design requirements well, which has a very broad application prospects. © (2014) Trans Tech Publications, Switzerland. Source


Li T.G.,Luzhou Vocational and Technical College
Advanced Materials Research | Year: 2014

Using the chip MC9S12XS128, two-wheeled self-balancing robot control system is designed. Its posture information is detected by accelerometer MMA7260 and gyro NEC-03, multi inertial sensor data fusion is realized by Kalman filter, posture data optimal estimation is gotten, and the accuracy of posture sensing system is improved. Using integral separation PID control algorithm, controlling the left and right motors are accelerated or decelerated, self-balancing control of two-wheeled robot is achieved. The experimental results show that, using the hardware platform MC9S12XS128, Kalman filter algorithm has high efficiency and posture data fusion is accurate and reliable, requirements which are posture optimal estimation and inclination data real-time feedback are met, and the system is stable and can accurately and quickly realize self-balancing control of two-wheeled robot. © (2014) Trans Tech Publications, Switzerland. Source


Gong Q.H.,Luzhou Vocational and Technical College
Advanced Materials Research | Year: 2014

In view of biomass gasify process which has nonlinear, non-minimum- phase, big delay and strong load interference characteristics, a fuzzy neural network control algorithm for biomass gasifier is presented. Gasified process of biomass gasifier has been researched, and intelligent control of temperature and primary air flow for biomass gasifier has been designed. The control objects are gasifier temperature and flue gas oxygen content, the regulation objects are the material feed flow and primary air flow. Simulation results show that, this system has better control effect than the traditional fuzzy control system. © (2014) Trans Tech Publications, Switzerland. Source


Cui W.,Luzhou Vocational and Technical College
MATEC Web of Conferences | Year: 2016

In this paper, aiming at the characteristics of Chinese text classification, using the ICTCLAS(Chinese lexical analysis system of Chinese academy of sciences) for document segmentation, and for data cleaning and filtering the Stop words, using the information gain and document frequency feature selection algorithm to document feature selection. Based on this, based on the Naive Bayesian algorithm implemented text classifier, and use Chinese corpus of Fudan University has carried on the experiment and analysis on the system. © Owned by the authors, published by EDP Sciences, 2016. Source


Gong Q.H.,Luzhou Vocational and Technical College
Applied Mechanics and Materials | Year: 2014

In order to improve pass-rate of liquor filling products; avoid poor quality as a result of liquor leakage and volatility, the sealing device for liquor filling and sealing machine has been improved, a parameter-adaptative fuzzy PID controller and a temperature control device based on a single chip microprocessor have been designed. Practical applications have shown that the parameter-adaptive fuzzy PID control system has high control precision and good tracking performance, small overshoot, strong anti-voltage disturbance, stable and reliable heat seal connection quality, and can meet the requirement of production process. © (2014) Trans Tech Publications, Switzerland. Source

Discover hidden collaborations