A coupling motional control method based on parametric predictive and variable universe fuzzy control for multi-axis CNC machine tools

2014 ◽  
Vol 74 (5-8) ◽  
pp. 1097-1114 ◽  
Author(s):  
Libing Zhang ◽  
Ting Wu ◽  
Fengli Huang
2012 ◽  
Vol 468-471 ◽  
pp. 1123-1127
Author(s):  
Jin Ning Zhi ◽  
Jian Wei Yang ◽  
Jun Zhe Dong

In order to improve the dynamic performance of five-axis heavy vehicle, a variable universe fuzzy control method is proposed to optimize suspension parameters. Five-axis multi-body dynamic model including electro-hydraulic proportional valve was firstly established in software ADAMS/Car. The variable universe fuzzy controller based on fuzzy neural network was also designed in MATLAB/Simulink, and then the co-simulation was conducted. The dynamic characteristics of five-axis heavy vehicle are studied to verify the effect of suspension parameters optimized by variable universe fuzzy control method in the A, B and C-level random pavement and different speed conditions. Simulation results show that compared with passive suspension, the real-time optimization of variable fuzzy control based on FNN can improve the ride comfort and the dynamic load of tire. Under different driving conditions, ride comfort can be increased by about 25%-30%, and the dynamic load of tire generally decreases by 25%-35%. Therefore this method has a certain practicability and effectiveness.


2010 ◽  
Vol 37-38 ◽  
pp. 1287-1291 ◽  
Author(s):  
Di Zheng ◽  
Bi Da Lv ◽  
Jian Ming Zhan ◽  
Li Yong Hu

Aspheric parts are attracting many researchers’ attention for their excellent optical properties. The commonly used manufacturing technology for aspheric parts are mainly based on dedicated high precision machines, resulting in high cost and restricted application fields. To polish this kind of parts on general CNC machine tools, however, the surface quality improvement is limited due to the problem of force-position coupling. In order to solve this issue, a force-position decoupling control method for abrasive polishing was studied, a corresponding comliant polishing tool system was developed, and the mathematical model of the tool system was established. In addition, a polishing force controller was designed, and the performance of the tool system was numerically simulated. Simulation results showed that the polishing tool system can effectively achieve the tasks of force-position decoupling and the stable control of the polishing force.


Author(s):  
Tao Wu ◽  
◽  
Yiru Tang ◽  
Dongdong Fei ◽  
Yongbo Li ◽  
...  

Selective micro heat sintering (SMHS)-type 3D printing technology is a widely applied method in rapid prototyping, which uses an electric heating component to sinter non-metallic powder. It requires precise control of the heating component’s energy and its sintering time. Temperature is one of the key factors that affect the forming quality of fused-type 3D printing technology. Aiming at the nonlinear and time-delay characteristics of temperature control in fused-type 3D printing, a fuzzy control method based on variable universe fuzzy control was studied. This fuzzy control method adopts a set of nonlinear expansion-contraction factors to make the variable universes change with the adaptive error, which can help acquire adaptive temperature adjustment in the rapid prototyping process control. The results of the simulation and experiment showed that the controlled temperature response was faster, the overshoot was smaller, and the stability was better compared to the conventional fuzzy proportion integration differentiation (PID) algorithm after the temperature reached the target temperature. The printed results indicated that the universe fuzzy PID control can effectively improve the accuracy of the workpiece shapes and that the density distribution of the workpiece is increased, which can help improve the forming quality.


2016 ◽  
Vol 693 ◽  
pp. 1728-1733
Author(s):  
Yang Chen ◽  
Pan Zhang ◽  
Hong Bin Li ◽  
Peng Lin Li ◽  
Zhi Qiang Yu

The requirements of CNC machine tools for the feed servo system could generally be summarized as high precision, well stability, fast response, wide range of speed regulation, high torque at low speed and so on. The PID controller of feed servo-system based on intelligent fuzzy control was presented based on traditional PID controller. The main feature of this arithmetic was to change parameters in different degrees according to time-varying working conditions, specially this arithmetic could change its domain intelligently according to different conditions and cooperated with a stable controller in case of system crash so that adaptivity and reliability of the feed servo-system were improved, also this feature made application field of the feed servo-system wider.


Sign in / Sign up

Export Citation Format

Share Document