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Start Over Author "Jia, Qiang" Journal journal of central south university
20 results on '"Jia, Qiang"'

7. Function chain neural network prediction on heat transfer performance of oscillating heat pipe based on grey relational analysis

Author

Yu-qiang Li, Jia-qiang E, and Jinke Gong

Subjects
Engineering, Artificial neural network, business.industry, Metals and Alloys, General Engineering, Function (mathematics), Grey relational analysis, Nonlinear system, Heat pipe, Chain (algebraic topology), Control theory, Heat transfer, Inner diameter, Astrophysics::Earth and Planetary Astrophysics, Artificial intelligence, business
Abstract

As for the factors affecting the heat transfer performance of complex and nonlinear oscillating heat pipe (OHP), grey relational analysis (GRA) was used to deal with the relationship between heat transfer rate of a looped copper-water OHP and charging ratio, inner diameter, inclination angel, heat input, number of turns, and the main influencing factors were defined. Then, forecasting model was obtained by using main influencing factors (such as charging ratio, interior diameter, and inclination angel) as the inputs of function chain neural network. The results show that the relative average error between the predicted and actual value is 4%, which illustrates that the function chain neural network can be applied to predict the performance of OHP accurately.

Published
2011

8. Neuron PI control for semi-active suspension system of tracked vehicle

Author

Jia-qiang E, Yi-hui Zeng, and Shao-jun Liu

Subjects
Root mean square, Physics, Acceleration, Amplitude, Control theory, Vertical direction, Metals and Alloys, General Engineering, Spectral density, Resonance, PID controller, Pitch angle
Abstract

A neuron proportion integration (PI) control strategy for semi-active suspension system of tracked vehicle was proposed based on its unique structure and the multiple and complex environment of the driving traffic. An adaptive genetic algorithm is used to optimize the parameters of the neuron PI controller. The simulation result of the neuron PI control for semi-active suspension system of tracked vehicle indicates that the vertical amplitude, pitch angle and vertical acceleration of the vehicle are well controlled. The root mean square (RMS) of the vertical amplitude decreases by 37.2%, and 45.2% for the pitch angle, 38.6% for the vertical acceleration. The research of neuron PI control experiment for the semi-active suspension system of the tracked vehicle model mining in benthal indicates that the RMS of the weight acceleration vibrating along the vertical direction decreases by 29.5%, the power spectral density resonance peak of the acceleration of the car body decreases by 23.8%.

Published
2011

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