A Data-Driven Multi-Device Collaborative Control Method in Coal Transportation System

This study investigates the tracking consensus problem for a class of unknown nonlinear multi-agent systems A novel data-driven protocol for this problem is proposed by using the model-free adaptive control method To obtain faster convergence speed, one-step-ahead desired signal is introduced to construct the novel protocol Here, switching communication topology is considered, which is not required to be strongly connected all the time Through rigorous analysis, sufficient conditions are given to guarantee that the tracking errors of all agents are convergent under the novel protocol Examples are given to validate the effectiveness of results derived in this article

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Chaotic motion control of a vibro-impact system based on data-driven control method

Journal of Vibration and Control ◽

10.1177/10775463211043320 ◽

2021 ◽

pp. 107754632110433

Author(s):

Xiao-juan Wei ◽

Ning-zhou Li ◽

Wang-cai Ding

Keyword(s):

Motion Control ◽

Data Model ◽

Chaotic Motion ◽

Control Method ◽

Data Driven ◽

Damping Coefficient ◽

Input Output ◽

Output Data ◽

Controlled System ◽

Impact System

For the chaotic motion control of a vibro-impact system with clearance, the parameter feedback chaos control strategy based on the data-driven control method is presented in this article. The pseudo-partial-derivative is estimated on-line by using the input/output data of the controlled system so that the compact form dynamic linearization (CFDL) data model of the controlled system can be established. And then, the chaos controller is designed based on the CFDL data model of the controlled system. And the distance between two adjacent points on the Poincaré section is used as the judgment basis to guide the controller to output a small perturbation to adjust the damping coefficient of the controlled system, so the chaotic motion can be controlled to a periodic motion by dynamically and slightly adjusting the damping coefficient of the controlled system. In this method, the design of the controller is independent of the order of the controlled system and the structure of the mathematical model. Only the input/output data of the controlled system can be used to complete the design of the controller. In the simulation experiment, the effectiveness and feasibility of the proposed control method in this article are verified by simulation results.

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A Framework of Cloud Model Similarity-Based Quality Control Method in Data-Driven Production Process

Mathematical Problems in Engineering ◽

10.1155/2020/7153841 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Sheng Hu ◽

Shuanjun Song ◽

Wenhui Liu

Keyword(s):

Quality Control ◽

Production Process ◽

Control Method ◽

Cloud Model ◽

Data Driven ◽

Monitoring Method ◽

Control Approach ◽

Acceptable Method ◽

And Performance ◽

Model Similarity

Considering the problem that the process quality state is difficult to analyze and monitor under manufacturing big data, this paper proposed a data cloud model similarity-based quality fluctuation monitoring method in data-driven production process. Firstly, the randomness of state fluctuation is characterized by entropy and hyperentropy features. Then, the cloud pool drive model between quality fluctuation monitoring parameters is built. On this basis, cloud model similarity degree from the perspective of maximum fluctuation border is defined and calculated to realize the process state analysis and monitoring. Finally, the experiment is conducted to verify the adaptability and performance of the cloud model similarity-based quality control approach, and the results indicate that the proposed approach is a feasible and acceptable method to solve the process fluctuation monitoring and quality stability analysis in the production process.

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An Arm Isolation and Reconfiguration Fault Tolerant Control Method Based on Data-driven Methodology for Cascaded Seven-level Inverter

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2018.8516073 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jiahui Zhang ◽

Zhuo Liu ◽

Tianzhen Wang ◽

M.E.H. Benbouzid ◽

Yide Wang

Keyword(s):

Control Method ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Data Driven

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Zoning Control Technology of Gob-Side Roadway Driving with Small Coal Pillar Facing Mining in a Special Isolated Island Working Face: A Case Study

Applied Sciences ◽

10.3390/app112210744 ◽

2021 ◽

Vol 11 (22) ◽

pp. 10744

Author(s):

Changliang Han ◽

Houqiang Yang ◽

Nong Zhang ◽

Rijian Deng ◽

Yuxin Guo

Keyword(s):

Control Method ◽

Coal Pillar ◽

Control Technology ◽

Stability Zone ◽

Pressure Relief ◽

Collaborative Control ◽

Working Face ◽

Underground Coal Mines ◽

Engineering Practices

The gob-side roadway in an isolated island working face is a typical representative of a strong mining roadway, which seriously restricts the efficient and safe production of underground coal mines. With the engineering background of the main transportation roadway 1513 (MTR 1513) of the Xinyi Coal Mine, this paper introduces the engineering case of gob-side roadway driving with small coal-pillar facing mining in an isolated island working face under the alternate mining of wide and narrow working faces. Through comprehensive research methods, we studied zoning disturbance deformation characteristics and stress evolution law of gob-side roadway driving under face mining. Based on the characteristics of zoning disturbance, MTR 1513 is divided into three zones, which are the heading face mining zone, the mining influenced zone, and the mining stability zone. A collaborative control technology using pressure relief and anchoring is proposed, and the differentiated control method is formed for the three zones. For the heading face mining zone, the control method of anchoring first and then pressure relief is adopted; for the mining influenced zone, the control idea of synchronous coordination of pressure relief and anchorage is adopted; for the mining stability zone, the control method of anchoring without pressure relief is adopted. Engineering practices show that the disturbance influence distance of working face 1511 on MTR 1513 changes from 110 m advanced to 175 m delay. At this time, the surrounding rock deformation is effectively controlled, which verified the rationality of the division and the feasibility of three zoning control technology. The research results can provide reference for gob-side roadway driving with small coal pillar facing mining in a special isolated island working face.

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