scholarly journals Research and simulation analysis of an Electric-Servo-Actuator system

Author(s):  
Shuping Li ◽  
Zhongxing Yan
2011 ◽  
Vol 34 (4) ◽  
pp. 463-476 ◽  
Author(s):  
Hazem I Ali ◽  
Samsul Bahari B Mohd Noor ◽  
SM Bashi ◽  
Mohammad Hamiruce Marhaban

In this paper, a particle swarm optimization (PSO) method is proposed to design Quantitative Feedback Theory (QFT) control. This method minimizes a proposed cost function subject to appropriate robust stability and performance QFT constraints. The PSO algorithm is simple and easy to implement, and can be used to automate the loop shaping procedures of the standard QFT. The proposed method is applied to the high uncertainty pneumatic servo actuator system as an example to illustrate the design procedure of the proposed algorithm. The proposed method is compared with the standard QFT control. The results show that the superiority of the proposed method in that it can achieve the same robustness requirements of standard QFT control with simple structure and low order controller.


This paper introduces the Design, Modeling and Simulation of a special tool that attaches a screw to attach the screw to a bimetal of MCB (Miniature Circuit Breaker). Problems found in the current process include complex shape and screw size and full connection operation is an intensive manual operation which makes handling difficult for the operator and also the size of the M2 screw and is headless with a cross section. In partnership with the SPM operator works as a tool to increase productivity by reducing operator fat. The system is a testament to automated material handling system, serial transfer, trap detection, attachment, automatic ejecting system, actuator system, sensors and control capabilities etc. Small screw handling and bike prospect are the major challenges in the special development of a purpose screw attachment system. System Modeling & Simulation analysis is done and the results are encouraging.


2013 ◽  
Vol 37 (3) ◽  
pp. 293-301 ◽  
Author(s):  
Trias Andromeda ◽  
Azli Yahya ◽  
Syahrullail Samion ◽  
Ameruddin Baharom ◽  
Nor Liyana Hashim

PID controller of servo control system maintains the gap between Electrode and workpiece in Electrical Discharge Machining (EDM). Capability of the controller is significant since machining process is a stochastic phenomenon and physical behaviour of the discharge is unpredictable. Therefore, a Proportional Integral Derivative (PID) controller using Differential Evolution (DE) algorithm is designed and applied to an EDM servo actuator system in order to find suitable gain parameters. Simulation results verify the capabilities and effectiveness of the DE algorithm to search the best configuration of PID gain to maintain the electrode position.


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