A Variable Parameters Cross-Coupled Control Based on Differential Evolution Optimization in Crankpin Non-Circular Grinding

2010 ◽  
Vol 44-47 ◽  
pp. 3148-3153 ◽  
Author(s):  
Jing Li ◽  
Yong Yi He ◽  
Nan Yan Shen ◽  
Ming Lun Fang
Keyword(s):  
Control System ◽  
Differential Evolution ◽  
Rotation Axis ◽  
Differential Evolution Algorithm ◽  
Contour Error ◽  
Motion Path ◽  
Variable Parameters ◽  
Coupled Motion ◽  
The Common ◽  
The Cross

The tracking lag error of a single axis in non-circular grinding is hard to be reduced due to the big inertia of grinding carriage and the large acceleration of crankshaft. Thus, it’s unsatisfied to improve the contour precision of crankpin just by enhancing the tracking precision of a single axis. To obtain a more accurate contour, the cross-coupled control system is designed based on the approximation that the coupled motion between the rotation axis of crankshaft and the linear axis of grinding carriage is simplified as the coupled motion between two linear axes. And then the control strategy that the parameters of cross-coupled control system are variable along the motion path of crankpin non-circular grinding is proposed to make up for it deficiency in the control of nonlinear path. To minimizing the contour error, differential evolution algorithm is also introduced to optimize the control parameters segment by segment. The simulation results demonstrate the theory contour precision of crankpin non-circular grinding is advanced obviously by the cross-coupled control with variable parameters in comparison with the common cross-coupled control.

Cross-Coupled Adaptive Feedrate Control for Multiaxis Machine Tools

1991 ◽  
Vol 113 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Hua-Yi Chuang ◽  
Chang-Huan Liu
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Motion Control ◽  
Control Strategy ◽  
Machine Tools ◽  
Feedback Loop ◽  
Contour Error ◽  
Coupled Motion ◽  
Contouring Accuracy ◽  
Perturbed Model

Cross-coupled controllers have been proposed for improving contouring accuracy of multiaxis machine tools. However, during cross-coupled motion control, increasing contour feedrate may result in larger contour errors. In order to increase feedrate and hence productivity without sacrificing the contouring performance, this paper presents an adapative feedrate control strategy based on a linear perturbed model. The method effectively closes the feedback loop between the contour error and feedrate. An experimental biaxial control system is constructed to implement the proposed strategy. Both computer simulation and experiments have verified that desired contouring accuracy can be achieved.

PID Controller Tuning by Differential Evolution Algorithm on EDM Servo Control System

2013 ◽  
Vol 284-287 ◽  
pp. 2266-2270 ◽  
Author(s):  
Andromeda Trias ◽  
Azli Yahya ◽  
Samion Syahrullail ◽  
Ameruddin Baharom ◽  
Safura Hashim Nor Liyana
Keyword(s):  
Control System ◽  
Differential Evolution ◽  
Pid Controller ◽  
Electrical Discharge Machining ◽  
Differential Evolution Algorithm ◽  
Electrode Position ◽  
De Algorithm ◽  
Pid Controller Tuning ◽  
Servo Actuator ◽  
Actuator System

Maintaining gap between Electrode and workpiece in Electrical Discharge Machining (EDM) is very important since the capability of control system to keep the gap will improve the performance of this machine. Therefore to maintain the gap, a Proportional Integral Derivative (PID) controller is designed and applied to EDM servo actuator system. The objective of this work is to obtain a stable, robust and controlled system by tuning the PID controller using Differential Evolution (DE) algorithm. The controller for EDM die sinking is verified by simulation of the control system using MATLAB/Simulink program. Simulation results verify the capabilities and effectiveness of the DE algorithm to search the best configuration of PID parameters controller to control the electrode position.

scholarly journals Medical Grabbing Servo System with Friction Compensation Based on the Differential Evolution Algorithm

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Yeming Zhang ◽  
Kaimin Li ◽  
Meng Xu ◽  
Junlei Liu ◽  
Hongwei Yue
Keyword(s):  
Control System ◽  
Differential Evolution ◽  
Position Control ◽  
Differential Evolution Algorithm ◽  
Servo System ◽  
Physical Structure ◽  
Pneumatic Cylinder ◽  
Friction Compensation ◽  
Evolution Algorithm ◽  
Position Control System

AbstractThis paper introduces a pneumatic finger cylinder servo control system for medical grabbing. First, according to the physical structure of the proportional directional valve and the pneumatic cylinder, the state equation of the gas in the servo system was obtained. The Stribeck friction compensation model of a pneumatic finger cylinder controlled by a proportional valve was established and the experimental platform built. To allow the system output to better track the change in the input signal, the flow-gain compensation method was adopted. On this basis, a friction compensation control strategy based on a differential evolution algorithm was proposed and applied to the position control system of a pneumatic finger cylinder. Finally, the strategy was compared with the traditional proportional derivative (PD) strategy and that with friction compensation. The experimental results showed that the position accuracy of the finger cylinder position control system can be improved by using the friction compensation strategy based on the differential evolution algorithm to optimize the PD parameters.

Sign in / Sign up

Export Citation Format

Share Document