The Steady State Precision Control of DC Linear Motor Based on State Observer and Feedback

2014 ◽  
Vol 511-512 ◽  
pp. 1058-1062
Author(s):  
Shuai Zhang ◽  
Hai Rui Wang ◽  
Jin Huang ◽  
He Liu

This paper proposes a guarantee steady state observation precision and pole assignment precision of the feedback controller, the basic idea is to introduce state observer can easily get dc linear motor speed and acceleration condition, state space pole assignment can pass, select the appropriate zero pole can improve the control performance of the motor. Based on the observation of the gain matrix can compensate for the steady-state error of the dc linear motor. Based on the observation of the gain matrix can compensate for the steady-state error of the dc linear motor. Matlab simulation results show that the control algorithm is compared with the traditional pole assignment, it is able to quickly and accurately follow the speed of the motor. The system has better dynamic and steady-state performance, and its characteristic of the closed-loop system robustness is stronger.

Author(s):  
Yong Xiao ◽  
Yonggang Zeng ◽  
Yun Zhao ◽  
Yuxin Lu ◽  
Weibin Lin

The traditional distribution network lacks real-time topology information, which makes the implementation of smart grid complicated. The smart grid needs to monitor and dispatch the grid to maintain the economic and safe operation of the system. In this paper, we propose a topology detection algorithm of the distribution network based on adaptive state observer. Based on the transient dynamic model of the distribution network, the line states of the distribution network are regarded as unknown parameters, a virtual adaptive state observation network is built, and the topology can be inferred by the changes of adaptive state parameters. Finally, the effectiveness of our algorithm is verified by the MATLAB simulation experiments.


2019 ◽  
Vol 70 (2) ◽  
pp. 103-112
Author(s):  
Mohamed I. Abdelwanis ◽  
Ragab A. El-Sehiemy

Abstract This paper presents control and analysis of a split-phase induction motor (SPIM) to drive a centrifugal pumping system. An optimized proportional- integral and derivative (PID) controller, that is capable with a vector closed-loop split-phase induction motor control, is presented and its simulation results are discussed. The fine-tuning procedure is employed for fuzzy PID (FPID) controller parameters in order to sustain the motor speed at the predefined reference values. To assess the performance of the competitive controllers, conventional PID (CPID) and FPID, four operational indices for are suggested for measure the capability of the two controllers. These indices involve individual steady state error (ISSE) for each operating period, total steady state error (TSSE) for overall loading cycle, Individual oscillation index (IOI) and Total oscillation index (TOI), in order to measure the capability of the FPID compared with CPID. The performance of the SPIM accomplished with these performance indices is checked and tested on high and low speed levels. Pulse width modulation (PWM) based simulation studies were employed for SPIM using MATLAB/SIMULINK software. The results show that the overall performance of the SPIM operated with vector control that is tuned by FPID is enhanced compared with CPID.


1979 ◽  
Vol 16 (1) ◽  
pp. 43-49 ◽  
Author(s):  
A. Basak

A theory has been developed for the ferrite field d.c. linear motor based upon the generalised machine approach. Expressions for steady state and transient response of such motors have also been developed. Various motor parameters can be determined by analysing the transient response of the motor speed.


2018 ◽  
Vol 138 (5) ◽  
pp. 498-505 ◽  
Author(s):  
Toyoaki Tanikawa ◽  
Tomohiro Henmi ◽  
Akira Inoue ◽  
Akira Yanou ◽  
Shinich Yoshinaga
Keyword(s):  

Author(s):  
Carlos R. Baier ◽  
Roberto Ramirez ◽  
Esteban Ignacio Marciel ◽  
Jesus de la Casa Hernandez ◽  
Pedro Eduardo E. Melin Coloma ◽  
...  

Author(s):  
Gennaro Di Meo ◽  
Davide De Caro ◽  
Gerardo Saggese ◽  
Ettore Napoli ◽  
Nicola Petra ◽  
...  

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