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The Modified Multiple Model Switching Tuning Control Application in AVC
作者姓名:周烁  李运堂  孟光  丁汉
作者单位:State Key Lab.of Vibration Shock and Noise Shanghai Jiaotong Univ.,Inst.of Robot Research,Shanghai Jiaotong Univ.,State Key Lab.of Vibration Shock and Noise,Shanghai Jiaotong Univ.,Inst.of Robot Research,Shanghai Jiaotong Univ.,Shanghai 200240 China,Shanghai 200030 China,Shanghai 200240 China,Shanghai 200030 China
摘    要:In the complex mechanical vibration environment, the dominant frequency of the system varies remarkably and swiftly under various running conditions, which also characterizes uncertainty and time-variation. It is very impending and important to suppress or isolate the detrimental vibrations related to the above memtoned system with active vibration control (AVC) technology. This paper presented the improved linear quadratic gaussian (LQG) control scheme with a specified filter to realize broadband disturbance/noise attenuation and assure intensive suppression of vibration at the key vibration frequency, then applies and modifies the multiple model switching tuning (MMST) control method by disturbance observation to track the variation of dominant vibration component timely. The effectiveness and superiority of the presented control method were demonstrated by numerical simulation and AVC experiment on a flexible cantilever beam under sweeping excitation.

关 键 词:多种陪电模式  振动控制  搅动观测器  机械振动环境
文章编号:1007-1172(2007)01-0131-07
修稿时间:2005-09-12

The Modified Multiple Model Switching Tuning Control Application in AVC
ZHOU Shuo,LI Yun-tang,MENG Guang,DING Han.The Modified Multiple Model Switching Tuning Control Application in AVC[J].Journal of Shanghai Jiaotong university,2007,12(1):131-137.
Authors:ZHOU Shuo  LI Yun-tang  MENG Guang  DING Han
Institution:1. State Key Lab. of Vibration Shock and Noise,Shanghai Jiaotong Univ. , Shanghai 200240, China
2. Inst. of Robot Research,Shanghai Jiaotong Univ. , Shanghai 200030, China
Abstract:In the complex mechanical vibration environment, the dominant frequency of the system varies remarkably and swiftly under various running conditions, which also characterizes uncertainty and time-variation. It is very impending and important to suppress or isolate the detrimental vibrations related to the above memtoned system with active vibration control (AVC) technology. This paper presented the improved linear quadratic gaussian (LQG) control scheme with a specified filter to realize broadband disturbance/noise attenuation and assure intensive suppression of vibration at the key vibration frequency, then applies and modifies the multiple model switching tuning (MMST) control method by disturbance observation to track the variation of dominant vibration component timely. The effectiveness and superiority of the presented control method were demonstrated by numerical simulation and AVC experiment on a flexible cantilever beam under sweeping excitation.
Keywords:multiple model switching  active vibration control (AVC)  disturbance observer
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