scholarly journals PID and Neural network decoupling control system for special shape pipe automatic welding machine

2015 ◽  
Author(s):  
Wen-bin Ma ◽  
Jian-hua Liu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Decoupling Control ◽  
Automatic Welding ◽  
Special Shape ◽  
Welding Machine

Based on Nash Optimization Decoupling Control System for Special Shape Pipe Automatic Welding Machine

2011 ◽  
Vol 383-390 ◽  
pp. 2832-2837
Author(s):  
Wen Bin Ma ◽  
Kai Zhang ◽  
Jian Hua Liu ◽  
Yan Nian Rui
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Control Structure ◽  
Welding Process ◽  
Decoupling Control ◽  
Automatic Welding ◽  
Special Shape ◽  
Pipe Welding ◽  
The Right ◽  
Welding Processes

A new decoupling control structure is presented for complex special shape pipe welding process, which consists of model construction by reorganization method. Using this structure, an decoupling control system is established which realizes an adaptive decoupling control strategy for the welding processes with integrated complexities by using structure of decoupling control system and based on multivariable predictive function and nash optimization to making sure the right coefficient. Such system can be easily implemented on the welding peocess and simulation show this approach is effective.

Design of Control System for Automatic Welding Machine for Battery Packs of New Energy Automobile

2014 ◽  
Vol 716-717 ◽  
pp. 1508-1511
Author(s):  
Hai Yan Hu ◽  
Jian Dong Yang
Keyword(s):  
Control System ◽  
Modular Design ◽  
Numerical Control ◽  
Automatic Welding ◽  
Welding Machine ◽  
Control Functions ◽  
Battery Packs ◽  
New Energy ◽  
Excellent Control ◽  
The Stability

According to the welding technology of the battery packs in new energy automobile, this paper adopts PC and motion control card as the hardware of the automatic welding machine control system and the software is designed based on the idea of both the hierarchical design and the modular design. The automatic operation of code G and code M of the numerical control system has been realized. Combining the coarse positioning with the fine positioning effectively solves the problems between efficiency and accuracy in position, which greatly promotes the stability of the system.It has excellent control functions and good performance.

Neural network inverse system decoupling control strategy of BLIM considering stator current dynamics

2018 ◽  
Vol 41 (3) ◽  
pp. 621-630 ◽  
Author(s):  
Wenshao Bu ◽  
Fangzhou He ◽  
Ziyuan Li ◽  
Haitao Zhang ◽  
Jingzhuo Shi
Keyword(s):  
Neural Network ◽  
Control System ◽  
Control Strategy ◽  
Displacement Component ◽  
Inverse System ◽  
Decoupling Control ◽  
Motor Speed ◽  
State Equations ◽  
Stator Current ◽  
The Neural Network

The bearingless induction motor (BLIM) is a multi-variable, non-linear, strong coupling system. To achieve higher performance control, a novel neural network inverse system decoupling control strategy considering stator current dynamics is proposed. Taking the stator current dynamics of the torque windings into account, the state equations of the BLIM system is established first. Then, the inverse system model of the BLIM is identified by a three-layer neural network; by means of the neural network inverse system method, the BLIM system is decoupled into four independent second-order linear subsystems, include a rotor flux subsystem, a motor speed subsystem and two radial displacement component subsystems. On this basis, the neural network inverse decoupling control system is constructed, the simulation verification and analyses are performed. From the simulation results, it is clear that when the proposed decoupling control strategy is adopted, not only can the dynamic decoupling control between relevant variables be achieved, but the control system has a stronger anti-load disturbance ability, smaller overshoot and better tracking performance.

Design of Automatic Buildup Welding Machine and its Application in Train Hook Repair

2011 ◽  
Vol 201-203 ◽  
pp. 1919-1925
Author(s):  
Hong Xin Shi ◽  
Jin Hong Zhu ◽  
Lian Mei Song ◽  
Xiao Ping Zou ◽  
Jian Han
Keyword(s):  
Control System ◽  
Mechanical System ◽  
Work Conditions ◽  
Automatic Welding ◽  
Two Dimension ◽  
Welding Equipment ◽  
Welding Machine ◽  
Microcomputer Control ◽  
Indexing Mechanism

A kind of automatic welding machine and its microcomputer control system were designed in this paper. The mechanical system includes a floating welding workbench, the two-dimension mechanism and the indexing mechanism. There are two choices for the control system, based on PLC or IPC separately. The automatic welding machine can be applied to train hook buildup welding. Experiments showed that reasonable buildup welding was achieved, and the automatic buildup welding equipment can improve productivity and work conditions.

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

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