Title :
Research on active control of diesel engine based on wavelet neural network
Author :
Cui, Yanmei ; Feng, Xianzhang ; Liu, Li ; Hou, Tao ; Liu, Cai
Author_Institution :
Sch. of Mechatron. Eng., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China
Abstract :
The vibration of diesel engine transmitting mainly from base to outside, the double-layer isolation vibration system of diesel engine was simplified into a double-freedom spring-mass systematic model. The vibration of diesel engine transmission upon the base tending to zero, the optimum control force was imposed on the middle-mass by the vibration signal of the middle-mass of the trend toward zero and characteristics of wavelet and neural network, from which active control model was obtained based on wavelet neural network system. The model is applied to the double-layer isolation vibration of diesel engine isolating effectively the transmission of low-frequency vibration to the base and compensating the shortcomings of passive double-layer vibration systems, which expands frequency-band of isolation vibration of diesel engine on passive isolation vibration until the vertical speed of the middle-mass within the allowable value range. It can achieve the purposes of isolation and reduction vibration and active control and guides the design and test of self-adaptive active control by the method.
Keywords :
adaptive control; diesel engines; neural nets; vibration control; wavelet transforms; diesel engine; double-freedom spring-mass systematic model; double-layer isolation vibration system; self-adaptive active control; wavelet neural network; Aerospace industry; Control systems; Diesel engines; Force control; Industrial control; Mechatronics; Neural networks; Power system modeling; Vibration control; Wavelet analysis; activecontrol; artificial neural network; diesel engine; vibration;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156651