Actuator Placement for Active Vibration Control Systems With External Excitations

Author(s):  
Shuqing Yuan ◽  
Lihua Xie

Abstract Actuator placement is important to active vibration suppression. It is complex as it concerns many effects. In this paper, a new actuator position optimization criterion is proposed in which the effect of external excitations is considered. The criterion is applied in conjunction with the Independent Modal Space Control method. Effects of different modes are weighted to form a cost function according to their contributions to system dynamic responses, which directly reflect the effects of the external excitations. An example is given to validate the criterion.

2010 ◽  
Vol 148-149 ◽  
pp. 934-937
Author(s):  
Xiu Mei Wang ◽  
Ju Zheng Wang ◽  
Xiao Jin Zhu

Active vibration control based on fuzzy algorithm for piezoelectric smart plate is studied. After the characteristic of piezoelectric ceramic (PZT) is analyzed, modal and transient analysis are developed in this paper with finite element model of the piezoelectric smart plate constructed in ANSYS. Fuzzy logic control rules are established by the analysis of the deformation of the plate. With mode shape and displacement response curve obtained, active vibration suppression for the smart plate system is achieved by using commercial finite element programs. The simulation results illustrate that analysis of piezoelectric smart plate using ANSYS is practicable and the intelligent control method is effective.


2009 ◽  
Vol 419-420 ◽  
pp. 173-176
Author(s):  
Wei Yuan Wang ◽  
Kai Xue ◽  
Dong Yan Shi

The purpose of this paper is to investigate the optimal placement of piezoelectric actuator for active vibration control of smart structure. The structures can be described in the modal space based on the independent modal space control method and dynamic equations derived from finite element model. The modal damping ratios are derived from modal equations and an optimal target is given by maximizing the modal damping ratios. Accumulation method is adopted to the optimization calculation. Simulations are carried out for active vibration control of a conical shell with distributed piezoelectric actuators. Control effects proved the validity of the optimal method above by compared with the non-optimal results. The optimal method in this paper gives a useful guide for quantity optimization of actuators to piezoelectric structures.


2013 ◽  
Vol 401-403 ◽  
pp. 175-179
Author(s):  
Xiang Yi Zhou ◽  
Jin Zhang

Optimal actuator placement is the key technology to be solved for active vibration suppression of large flexible space structure. According to the features of close mode and light damping, the optimal criterion derived from the controllability and observability of Grammian matrix is designed; Hybrid Particle Swarm Optimization (HPSO) algorithm is introduced to solve the problem in optimizing actuator placement, and the detail solving step is given. Compared with genetic algorithm (GA) in previous research, HPSO is better than GA in convergence rates and computing time. Based on the above optimal results, LQG/LTR control method is utilized when the large flexible structure under pulse and Gauss white noise excitation respectively. The numerical simulation results show that LQG/LTR, which has a better performance in suppressing structure vibration than LQG, can suppress the vibration of large flexible space structure and improve system robustness.


2010 ◽  
Vol 132 (5) ◽  
Author(s):  
Peter P. Radecki ◽  
Kevin M. Farinholt ◽  
Gyuhae Park ◽  
Matthew T. Bement

The machining process is very important in many engineering applications. In high precision machining, surface finish is strongly correlated with vibrations and the dynamic interactions between the part and the cutting tool. Parameters affecting these vibrations and dynamic interactions, such as spindle speed, cut depth, feed rate, and the part’s material properties can vary in real time, resulting in unexpected or undesirable effects on the surface finish of the machining product. The focus of this research is the development of an improved machining process through the use of active vibration damping. The tool holder employs a high-bandwidth piezoelectric actuator with an adaptive positive position feedback control algorithm for vibration and chatter suppression. In addition, instead of using external sensors, the proposed approach investigates the use of a collocated piezoelectric sensor for measuring the dynamic responses from machining processes. The performance of this method is evaluated by comparing the surface finishes obtained with active vibration control versus baseline uncontrolled cuts. Considerable improvement in surface finish (up to 50%) was observed for applications in modern day machining.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 403-411
Author(s):  
Shengquan Li ◽  
Chaowei Zhu ◽  
Juan Li ◽  
Qibo Mao

Considering the internal and external disturbances in actual engineering structure, a composite active vibration control method is proposed for an all-clamped piezoelectric panel. First, the theoretical modal analysis and laser vibrometer are employed to obtain the natural frequency and mode shape of the panel, for reasonable arrangement of actuator and accelerometer. Second, a nonlinear extended state observer is introduced to estimate the total disturbances, i.e., modeling uncertainties, high-order harmonics, coupling and external excitations. Third, the estimated value is used to compensate and attenuate the influence of the total disturbances in real time. In addition, the feedback controller based on the proportional differential and acceleration feedback method is designed to enhance the vibration suppression performance of the whole system. Finally, a semi-physical platform is built in MATLAB/Simulink real-time environment with the NI-PCIe6343 acquisition card to verify the effectiveness and superiority of the proposed method.


Author(s):  
Y Xia ◽  
A Ghasempoor

Vibration control strategies strive to reduce the effect of harmful vibrations on machinery and people. In general, these strategies are classified as passive or active. Although passive vibration control techniques are generally less complex, there is a limit to their effectiveness. Active vibration control strategies, on the other hand, can be very effective but require more complex algorithms and are especially susceptible to time delays. The current paper introduces a novel vibration suppression system using non-linear optimization. The proposed methodology eliminates the need for a feedback loop and the sensitivity to time delays. The system has been evaluated experimentally and the results show the validity of the proposed methodology.


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