Optimal Placement of Actuator for Vibration Suppression Based on Intelligent PID Controller

Author(s):  
Muhamad Sukri Hadi ◽  
Nadzirah Mohd Mokhtar ◽  
Intan Zaurah Mat Darus
2011 ◽  
Vol 87 ◽  
pp. 123-128 ◽  
Author(s):  
Li Ting Sun ◽  
Jing Shu Wang ◽  
Zhong Qing Han ◽  
Chang An Zhu

Vibration is a significant factor that influences the performance of the long-range ultra-precise positioning system. Due to the intense nonlinearity and parameter uncertainties, it is difficult to eliminate the vibration by using a conventional PID controller. In this paper, the intelligent PID controller based on BP neural network with the ability of self-learning and strong robustness is introduced into the positioning system. Simulation and experiment are conducted and the results show that the vibration is effectively suppressed and the positioning accuracy has reached within 5.8nm.


2014 ◽  
Vol 644-650 ◽  
pp. 341-345
Author(s):  
Ming Jun Li ◽  
Hua Tian ◽  
Xiao Jing Guo

In this paper, intelligent fuzzy control theory is introduced in the model of neural network algorithm, and the neural network system is improved by the PID controller, which has realized the feedback and adjustment function of neural network system, and has made the reaction of the system be more accurate and stable. In order to verify the validity and reliability of the designed intelligent control PID algorithm based on the fuzzy neural network in this paper, the algorithm is carried on the programming by using Matlab programming software, and the control process of PID is calculated by NNbox simulation toolbox, at last, it has obtained the curve of PID control response changing over time. From the response curve, it can be seen that after the PID proportional coefficient is regulated by using fuzzy neural network intelligent control algorithm, it can quickly and steadily obtain the control curve, which has realized better intelligent control effect, and has provided technical reference for the research of intelligent PID controller.


Author(s):  
Nicholas Stone ◽  
Kenneth Kaiser ◽  
Robert D. White

Essential Tremor (ET) is a motion disorder which affects as many as one in 20-25 adults over the age of 40 [1]. Leblanc [2] proposed a device which consists of four linear actuators attached to a patient's wrist in an effort to actively suppress the tremor. This paper demonstrates experimentally a simplified version of that device. The system was tested on a stand designed to simulate an adult lower arm with a tremor in the horizontal plane. A single linear inertial actuator was attached to the "wrist" of the test stand. An accelerometer attached on the opposite side of the arm provided feedback to the controller. This paper demonstrates this system operating to produce 20%-60% vibration reduction in the 6-13 Hz bandwidth.


2012 ◽  
Vol 7 (10) ◽  
Author(s):  
Honghua Xu ◽  
Xiaoqiang Di ◽  
Huamin Yang ◽  
Guangcai Cui

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