Control Algorithm Study on Cantilever Machine Teaching-Playback

2014 ◽  
Vol 635-637 ◽  
pp. 1212-1215
Author(s):  
Ruo Han Liu ◽  
Chun Hua Li
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Control Method ◽  
Tracking Error ◽  
Cutting Parameters ◽  
Configuration Software ◽  
Monitoring Site ◽  
Software Monitoring ◽  
Operation Panel

In order to realize intelligent control, the cutting trajectory of TBM research machine adopts the principle of teaching and reappearing cutting trajectory control method, combining with the control system of teaching and reappearing and SIMATIC C7, operation interface is realized by using configuration software monitoring, monitoring site visually through the operation panel parameters change, timely adjust the cutting parameters. The experimental results show that the tracking error within the scope of the permit. The method to improve the intelligence of machine cutting control provides a reference basis.

Robust Control Method Based on Machine Learning for Boiler Combustion System

2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang
Keyword(s):  
Robust Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
On Line ◽  
Control Output

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

Study on the Driver Control System of the Full AC Electric Stacking Forklift

2012 ◽  
Vol 271-272 ◽  
pp. 1658-1663
Author(s):  
Guo Jin Chen ◽  
Ting Ting Liu ◽  
Jing Ni ◽  
Ming Xu ◽  
Huo Qing Feng
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Method ◽  
Development Trend ◽  
Variable Frequency ◽  
Speed Sensorless ◽  
Logistics Industry ◽  
Fuzzy Neural ◽  
Composite Models ◽  
Frequency Module

Logistics Machinery is the important equipment for carrying material. The all-electric logistics machinery is a development trend in the international logistics industry today. This paper studies the intelligent control model and algorithm for the driver control system of the full AC electric stacking forklift, proposes the composite models of the fuzzy neural network’s identification NNM and the Self-tuning PID NNC, and designs the variable frequency module of the speed sensorless vector control. Through the organic integration of the variable frequency module, the speed reducer and the AC motor, we develop the integrated machine used for the driver control system of the full AC electric stacking forklift. The paper put forward the intelligent control method of the variable frequency which combines the load’s characteristic recognition with the control to achieve the best matching, the highest efficacy and the lowest energy consumption of the entire transmission system.

Implementation of Intelligent Control System for Autonomous Underwater Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Underwater Vehicle ◽  
Intelligent Control System ◽  
Azov Sea ◽  
Complex Simulation ◽  
Point To Point

This paper introduces the implementation of intelligent motion control and planning for autonomous underwater vehicle (AUV). Previously developed control system features intelligent motion control and planning subsystem, based on artificial neural networks. It allows detecting and avoiding moving obstacles in front of the AUV. The motion control subsystem uses position-trajectory control method to position AUV, move from point to point and along given path with given speed. Control system was tested in the multi-module simulation complex. Simulation showed good results – AUV successfully achieved given goals avoiding collisions not only with static obstacles, but also with mobile ones. That allows using the proposed control system for the groups of vehicles. Besides simulation, control system was implemented in hardware. AUV prototype passed tests in Azov Sea and proved its efficiency.

The Wet Clutch Pressure Control of Dual Clutch Transmission Based on FCMAC

2012 ◽  
Vol 157-158 ◽  
pp. 1614-1619
Author(s):  
Yin Shu Wang ◽  
Xiu Sheng Cheng ◽  
Yong Dao Song ◽  
Peng Han
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Pressure Control ◽  
Cerebellar Model Articulation Controller ◽  
Dual Clutch Transmission ◽  
Intelligent Control System ◽  
Wet Clutch ◽  
Pressure Control System ◽  
Adaptive Ability

A wet clutch pressure control system of dual clutch transmission was presented in this paper, and clutch pressure intelligent control arithmetic based on FCMAC(Fuzzy Cerebellar Model Articulation Controller) was designed to realize accracy control of clutch pressure. The intelligent control system was verified by experiment, and the rusults showed that the clutch intelligent control algorithm with FCMAC had good adaptive ability and high precision. It could meet the requirements of the clutch peressure contol of DCT.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

A Self-Repairing Control Scheme for Quadrotor Helicopter via Active Disturbance Rejection Control

2013 ◽  
Vol 404 ◽  
pp. 603-608
Author(s):  
Qing Bo Wu ◽  
Fu Yang Chen ◽  
Chang Yun Wen
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Disturbance Rejection ◽  
Control Algorithm ◽  
Tracking Error ◽  
Active Disturbance Rejection Control ◽  
Quadrotor Helicopter ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Control Scheme

In this paper, a self-repairing control scheme for attitude control of a quadrotor helicopter via active disturbance rejection control is proposed. Firstly, a model of the quadrotor helicopter is gained by its dynamic equations with pitch, roll and yaw axis. Then the active disturbance rejection controller is introduced, which is used to design the control system. The control system consists of PID controller in inner-loop and ADRC controller in outer-loop. Disturbances and uncertainties can be compensated by the ADRC to achieve smaller tracking error. Finally, the simulation results of the four-rotor helicopter validate the efficiency and self-repairing capability of the proposed control algorithm, compared with that of the PID control and the separate ADRC control.

scholarly journals Overlapping Decentralized Control Strategies of Building Structures’ Vibration with Time Delay Based on H∞ Control Algorithms under Seismic Excitation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaofang Kang ◽  
Jian Wu ◽  
Yewei Zhang ◽  
Guoliang Liu ◽  
Suhui Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Time Delay ◽  
Vibration Control ◽  
Decentralized Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Control Strategies ◽  
Linear Matrix ◽  
Feedback Gain

A decentralized control strategy can effectively solve the control problem of the large-scale time delayed structures. In this paper, combining the overlapping decentralized control method, linear matrix inequality (LMI) method, and H∞ control algorithm, overlapping decentralized H∞ control approach of the time delayed structures has been established. The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. The whole vibration control system of the time delayed structures is divided into a series of overlapping subsystems by overlapping decentralized control strategy. The feedback gain matrixes of each subsystem can be obtained by using H∞ control algorithm to calculate each subsystem. The vibration control of a twenty layers’ antiseismic steel structure Benchmark model was analyzed with the numerical method. The results show that the proposed method can be applied to control system with time delay. The overlapping decentralized control strategies acquire the similar control effects with that of the centralized control strategy. Moreover, the flexibility of the controller design has been enhanced by using overlapping decentralized control strategies.

Research on the Elongation Control System of Tension Leveller for Continuous Pickling Line

2013 ◽  
Vol 753-755 ◽  
pp. 1442-1447
Author(s):  
Li Wang ◽  
Dian Hua Zhang ◽  
Jie Sun ◽  
Qiu Jie Chen ◽  
Hua Ding
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Dynamic Performance ◽  
Vital Role ◽  
Rolled Strip ◽  
Loop Control ◽  
Elongation Control ◽  
Self Adaptive

Elongation control played a vital role for the production of cold-rolled strip. In the production process, especially during tension disturbances or parameter variations, the conventional PID control method can not meet the actual demand well. Therefore, the intelligent control algorithm was introduced in this paper. A fuzzy self-adaptive PID closed-loop control strategy which combines the fuzzy control algorithm with the conventional PID control algorithm was applied to elongation control system. It is proved in the simulation study that the fuzzy self-adaptive PID control system has both high dynamic performance and static performance as well as strong robustness, which can greatly improve control accuracy and anti-jamming capability of elongation control system of the tension leveller.

scholarly journals Design of tunnel illumination control system with solar energy

2018 ◽  
Vol 173 ◽  
pp. 02003
Author(s):  
Zhang Weijiang
Keyword(s):  
Control System ◽  
Solar Energy ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Lighting System ◽  
Energy Problem ◽  
Lighting Control ◽  
Remote Areas ◽  
Highway Tunnel

In order to solve the unmanned tunnel illumination in remote areas, control system is designed for tunnel lighting. Meanwhile, solar energy is used to solve the energy problem of tunnel lighting. Based on the specific requirements of the highway tunnel, the intelligent control algorithm is designed. On the basis of the algorithm, the intelligent control tunnel lighting system is realized. Control system for tunnel lighting is stable and reliable, unmanned operation can be realized. Practice shows that the intelligent tunnel lighting control system can be successfully applied in remote areas.

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