基于P ID控制方法的模糊变增益振动主动控制试验研究
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摘要
结合模糊控制方法智能化的特点,设计出一种不依赖模型参数且可以自动调节控制器增益的控制算法。该方法以比例、积分和微分(Proportional integral and derivative,PID)控制为基础,根据系统输出及输出变化率自动调节控制器增益,使控制系统具有更强的适应能力。同时针对振动测试信号中含有噪声干扰和直流分量的情况,构造依赖模型部分参数的二阶窗函数,在保证不改变受控模态信号特征的同时有效衰减非受控模态信号干扰及直流分量。建立悬臂梁模型进行试验验证。结果表明,该方法能够使受控系统的振动幅值减小到开环时的5%以下,其效果明显优于普通PID控制。并且,通过引入二阶窗函数,系统在具有非受控模态信号干扰的情况下能够保持有效控制,使算法具有更好的稳定性和鲁棒性。
A variable gain based on fuzzy method and proportional integral derivative(PID) control algorithms is proposed to design an active vibration controller.Compared with a pure PID scheme,the method has better performance and robust ability.Considering the unknown disturbance and DC excursion included in the output signals,an order two window function is constructed.Experimental results indicate the effectiveness of the presented method and the control system is stable when the output includes the disturbance and DC excursion.
A variable gain based on fuzzy method and proportional integral derivative(PID) control algorithms is proposed to design an active vibration controller.Compared with a pure PID scheme,the method has better performance and robust ability.Considering the unknown disturbance and DC excursion included in the output signals,an order two window function is constructed.Experimental results indicate the effectiveness of the presented method and the control system is stable when the output includes the disturbance and DC excursion.
引文
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[2]颜桂云,吴国荣,陈福全.高层建筑非线性地震反应的半主动H∞控制[J].振动与冲击,2007,26(2):93-97.Yan Guiyun,Wu Guorong,Chen Fuquan.Semi-active H∞control of nonlinear seismic response forhigh-rise buildings[J].Journal of Vibration andShock,2007,26(2):93-97.
[3]陈修祥,马履中,朱伟,等.车载设备半主动多维减振装置设计理论研究[J].振动与冲击,2007,26(3):124-128.Chen Xiuxiang,Ma Lüzhong,Zhu Wei,et al.Studyon semi-active multidimensional vibration damperdesign for a vehicle equipment[J].Journal ofVibration and Shock,2007,26(3):124-128.
[4]Wu T,Shao T.Adaptive vibration control using avirtual vibration absorber controller[J].Journal ofSound and Vibration,2007,305(4/5):891-903.
[5]王昊,胡海岩.整车悬架的最优模糊半主动控制[J].振动工程学报,2005,18(4):439-443.Wang Hao,Hu Haiyan.Optimal fuzzy control of asemi-active suspension of full-vehicle model[J].Journal of Vibration Engineering,2005,18(4):439-443.
[6]Callai T C,Santos J E S.Applying the potentialityof using fuzzy logic in PID control design[J].Advances in Soft Computing,2005(1):193-204.
[7]Zhu L,Toncich D,Nagarajah R.A PID-type fuzzycontroller model for machine control applications[J].Advanced Manufacturing Technology,1997,13(10):696-707.
[8]Qu W,Sun J.Active control of vibration using afuzzy control method[J].Journal of Sound andVibration,2004,275(3/5):917-930.
[9]Park K,Koh H.Active control of earthquake excitedstructures using fuzzy supervisory technique[J].Advances in Engineering Software,2002,33(11/12):761-768.
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