Experimental Study on Speed Control of Ultrasonic Motor using Intelligent IMC-PID Control

Author(s):  
Shenglin Mu ◽  
Satoru Shibata ◽  
Tomonori Yamamoto ◽  
Kanya Tanaka ◽  
Shota Nakashima ◽  
...  
Author(s):  
Lijie Yang ◽  
Guimei Wang ◽  
Huadong Zhang ◽  
Jiehui Liu ◽  
Yachun Zhang

A special ceramic roller bearing press (SCRBP) is developed to press two bearings efficiently and precisely at the same time. A speed control mathematical model of the bearing press is built to obtain stability bearing pressing speed. The fuzzy adaptive PID controller of the bearing pressing speed of SCRBP is designed. The simulation model is also built. Fuzzy adaptive PID control is compared with conventional PID control. By simulation analysis, the simulation results show that adjusting time of fuzzy adaptive PID control is short, and its overshoot is very small, almost coincides with the set pressing speed. Moreover, fuzzy adaptive PID is suitable for the pressing speed control of the bearing pressing speed system with step interference signal. The pressing stability speed is obtained by fuzzy adaptive PID control.


2012 ◽  
Author(s):  
R. E. Samin ◽  
N. A. Azmi ◽  
M. A. Ahmad ◽  
M. R. Ghazali ◽  
M. A. Zawawi

2011 ◽  
Vol 2-3 ◽  
pp. 12-17
Author(s):  
Sheng Lin Mu ◽  
Kanya Tanaka

In this paper, we propose a novel scheme of IMC-PID control combined with a tribes type neural network (NN) for the position control of ultrasonic motor (USM). In this method, the NN controller is employed for tuning the parameter in IMC-PID control. The weights of NN are designed to be updated by the tribes-particle swarm optimization (PSO) algorithm. This method makes it possible to compensate for the characteristic changes and nonlinearity of USM. The parameter-free tribes-PSO requires no information about the USM beforehand; hence its application overcomes the problem of Jacobian estimation in the conventional back propagation (BP) method of NN. The effectiveness of the proposed method is confirmed by experiments.


2010 ◽  
Vol 57 (4(1)) ◽  
pp. 886-888 ◽  
Author(s):  
Jin Yi Liew ◽  
Yuan Chen ◽  
Xiao Ping Hu

2012 ◽  
Vol 152-154 ◽  
pp. 1589-1594 ◽  
Author(s):  
Xiao Qun Shen ◽  
Yu Xiang Su

The traditional PID control effect is not ideal when the controlled object is nonlinear and contains variable parameters. In order to adapt marine diesel engines to variable working conditions, the fuzzy-PID control method was proposed to be used in the speed control system of marine diesel engine to realize online adjustment of PID parameters. The composition of marine diesel engine speed control system was introduced, and the design of fuzzy–PID controller was analyzed in detail. The fuzzy-PID diesel engine speed governor was simulated through MATLAB. The simulation results show that fuzzy-PID can improve the system dynamic performance, reduce system oscillation and improve the response speed. The results also show that the fuzzy-PID marine diesel engine speed governor has high anti-interference ability and strong robustness.


Measurement ◽  
2014 ◽  
Vol 47 ◽  
pp. 686-692 ◽  
Author(s):  
Xiaoxiao Zhu ◽  
Shimin Zhang ◽  
Guibin Tan ◽  
Deguo Wang ◽  
Wenming Wang

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