Braking angle control of loom spindle based on neuron-adaptive PID algorithm

2021 ◽  
pp. 1-9
Author(s):  
Yanjun Xiao ◽  
Zeyu Li ◽  
Zhe Mao ◽  
Wei Zhou
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Pressure Control ◽  
Pid Algorithm ◽  
Braking System ◽  
Control Precision ◽  
Allowable Error ◽  
Electromagnetic Clutch

The intelligent control strategy of electromagnetic clutch actuator is analyzed in detail in this paper. The start - stop control of the loom is realized by an electromagnetic clutch. The existing control method of electromagnetic clutch of loom is high and low pressure control strategy. The operator sets the braking advance angle according to experience, to realize the accurate braking of the spindle, but it is difficult to realize the fast and accurate control. In order to achieve good performance, it is very important to develop a fast and accurate loom braking system. Aiming at the fabric defects caused by the elongation of the warp when the loom is stopped, a method of stabilizing the excitation current of the electromagnetic clutch by using the neural adaptive PID (proportional integral differential) controller is proposed to improve the control precision of the actuator. The experimental results show that the proposed control algorithm is feasible and can effectively realize the adaptive control of the spindle braking Angle within the allowable error range.

Control Strategy of Energy Saving Based on Intelligence-Fusion in Water Supply Engineering

2013 ◽  
Vol 401-403 ◽  
pp. 1822-1825
Author(s):  
De Qi Ren
Keyword(s):  
Water Supply ◽  
Energy Saving ◽  
Control Strategy ◽  
Comparative Research ◽  
Control Algorithm ◽  
Control Method ◽  
Pressure Control ◽  
Pressure Control System ◽  
And Control ◽  
Better Than

Aimed at the puzzle that it is heavy in energy consumption and not better in water quality to water supply engineering resulted in inappropriate control strategy, the paper explored the energy saving strategy and control mechanism of water supply system. In the paper, it discussed the cybernetics characteristic of water supply process, proposed the intelligence-fusion based control strategy and the energy saving executing strategy, and analyzed the control model of water supply purifying process and the control algorithm of constant pressure control system. The comparative research of simulation demonstrated that the proposed strategy would be better than conventional PID control method. The simulation results show that the strategy combined intelligence-fusion based control with speed control by inverter has better application prospect.

Study on the Control Strategy and Algorithm for Head-Box

2015 ◽  
Vol 738-739 ◽  
pp. 1086-1089
Author(s):  
Wei Jing Zhang
Keyword(s):  
Control Strategy ◽  
Total Pressure ◽  
Control Algorithm ◽  
Pressure Control ◽  
Point Of View ◽  
Experimental Point ◽  
Control Parameters ◽  
Work Process ◽  
Control Precision ◽  
The Relationship

This paper introduces the work process and mechanism of the head-box, from the experimental point of view, analyzed the relationship between the head-box control parameters. The relationship between the level and the total pressure and the relationship between the fan pressure and total pressure is give. Through various experimental results, the control algorithm and strategy of the head-box is proposed. The practice shows that the total pressure control precision is about 3%.

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.

scholarly journals A Novel Pneumatic Brake Pressure Control Algorithm for Regenerative Braking System of Electric Commercial Trucks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 83372-83383 ◽  
Author(s):  
Dawei Pi ◽  
Qing Cheng ◽  
Boyuan Xie ◽  
Hongliang Wang ◽  
Xianhui Wang
Keyword(s):  
Control Algorithm ◽  
Pressure Control ◽  
Regenerative Braking ◽  
Braking System ◽  
Brake Pressure

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.

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.

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.

Intelligent Control Strategy for Complex Industrial Process with Uncertainty

2014 ◽  
Vol 933 ◽  
pp. 343-347
Author(s):  
Guo Qing Zhou ◽  
Lei Li
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Strategies ◽  
Industrial Process ◽  
Complex Process ◽  
Industrial Object ◽  
Optimization Control ◽  
Decomposition And Coordination ◽  
Control Accuracy

In order to solve control puzzle of complicated characteristics for complex industrial object, the paper proposed an intelligent control strategy. First it made the anatomy and pointed out that the conventional control strategy is unsuitable to control the complex process. Based on comparison among control strategies, first it made decomposition and coordination for complex process, and then selected intelligence based control strategies, finally adopted human simulation intelligence based control algorithm to implement the optimization control of complex process with uncertainty. The simulation effect demonstrated that it is faster in response, high in control accuracy, and strong in robustness. The simulation shows that it is a wise choice to apply the intelligent control strategy for complex industrial process with uncertainty.

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.

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