Expert Control of Mine Hoist Control System

Liu, Xiuzhi; Tao, Sui

doi:10.1155/2021/5592351

Cited by 6 publications

(6 citation statements)

References 18 publications

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“…Water-cooled injection machines perform well in cooling speed, production e ciency, and qualities of plastic parts and are widely used in the manufacturing of plastic parts. e e ect of temperature control of injection machines is a key link in production quality and appearance [4][5][6]. Compared to traditional injection machines, water-cooled injection machines have more complex control systems.…”

Section: Introductionmentioning

confidence: 99%

Application of Expert Adjustable Fuzzy Control Algorithm in Temperature Control System of Injection Machines

2022

Computational Intelligence and Neuroscience

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The stability and accuracy of temperature control of the injection molding machine is one of the keys to determine the quality and appearance of plastic parts. Due to the temperature control system of water-cooled injection molding machine has the characteristics of coupling, nonlinearity, and hysteresis, the traditional proportion-integral-derivative (PID) method to control the barrel temperature of injection molding machine will yield temperature overshoot and oscillation, affecting the product and appearance quality. In order to improve the effect of barrel temperature control, in this paper, an expert adjustable fuzzy control strategy (EAFCA) is designed to optimize the barrel temperature control system through the combination of expert control, fuzzy control, and PID control. The expert control rules are designed according to the barrel temperature deviation e and its change rate ec. The expert rules are used to adjust the mapping range of the fuzzy universe in real time for the input and output variables of the fuzzy controller and finally to realize the accurate adjustment of the PID controller parameters. In terms of control systems, the distributed control system (DCS) monitoring system of injection molding machine is designed with Siemens CPU315-2PN/DP and industrial computer as the hardware core and Step7 and windows control center (WinCC) as the software platform to complete the tool plastic production monitoring system. The DCS improves the operability, data management convenience, and plastic production efficiency of the injection molding machine monitoring system. The Simulink simulation and field test show that the EAFCA method can increase the adjustment speed by approximately 34 s and reduce the overshoot by nearly 3.1%, which significantly improves the stability and accuracy of the barrel temperature and improves the quality of plastic parts.

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Section: Introductionmentioning

confidence: 99%

Application of Expert Adjustable Fuzzy Control Algorithm in Temperature Control System of Injection Machines

2022

Computational Intelligence and Neuroscience

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“…The essence of point cloud alignment is to solve the transformation relationship between two point clouds. The transformation relationship between the target point cloud and the source point cloud is expressed by formula (7): where, R is the rotation matrix, T is the translation vector, p s and p t are a set of corresponding points in the source and target point clouds; α, β and γ are the rotation angles of the point cloud around the X, Y and Z axes, respectively; t x , t y and t z are the translations along the X, Y and Z axes, respectively.…”

Section: Skip Point Cloud Alignmentmentioning

confidence: 99%

“…The mine hoisting system serves as a crucial transportation link in the coal production process. As a vital conduit connecting the underground and surface, ensuring the safety and stability of its operation is not only pivotal for production efficiency and economic benefits of coal mining enterprises but also imperative for safeguarding the lives of underground workers [4][5][6][7][8]. Once the mine hoist fails, there is a risk that the whole hoisting system will be paralyzed, resulting in a longer production stoppage, or even causing serious safety accidents [9,10].…”

Section: Introductionmentioning

confidence: 99%

Research on load monitoring technology of mine hoist based on machine vision

Tian,

Wang,

Guo

et al. 2024

Meas. Sci. Technol.

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A hoist load monitoring method based on machine vision technology is proposed in this paper to address the frequent overloading accidents of mine hoists and the low safety and reliability of existing contact load monitoring technologies. The depth image of the skip undergoes time domain and spatial bilateral filtering algorithms for noise reduction, followed by conditional filtering and downsampling algorithms to remove redundant point cloud data. Point cloud recognition, extraction, segmentation, and alignment algorithms are then applied to quickly generate a skip point cloud model. A surface reconstruction optimization process combining greedy projection triangulation algorithm and void repair algorithm is proposed to obtain a smooth and complete sealing of the skip. The closed surface model volume is calculated using VTK volume function. Based on single-rope winding hoist, a load visual monitoring system is constructed for relevant experimental research. Results show that this method can accurately measure the loaded coal volume with a relative error range of 0.05%~4.13%, meeting practical application requirements while providing an effective way for non-contact accurate measurement of hoist loads in mines.

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“…The PID controller (Liu et al, 2020;Liu and Sui, 2021;Gao and Xiong, 2022) is inherently a single-input singleoutput system. However, in the case of a robotic arm with six The motion trajectory of the six-axis robotic arm.…”

Section: When |E (K)| ⩽ ε(Precision)mentioning

confidence: 99%

Control and physical verification of 6-DOF manipulator for power inspection robots based on expert PID algorithm

Jiang,

Wang,

Liu

2024

Front. Energy Res.

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To enhance the performance of power inspection robots in intricate nuclear power stations, it is necessary to improve their response speed and accuracy. This paper uses the manipulator of the power inspection robot as the primary research object, and unlike previous control algorithm research, which only remained in the software simulation stage, we constructed a set of physical verification platforms based on CAN communication and physically verified the robotic arm’s control algorithm. First, the forward motion model is established based on the geometric structure of the manipulator and D-H parameter method, and the kinematic equation of the manipulator is solved by combining geometric method and algebraic method. Secondly, in order to conduct comparison tests, we designed PID controllers and expert PID controllers by utilising the expertise of experts. The results show that compared with the traditional PID algorithm, the expert PID algorithm has a faster response speed in the control process of the manipulator. It converges quickly in 0.75 s and has a smaller overshoot, with a maximum of only 6.9%. This confirms the expert PID algorithm’s good control effect on the robotic arm, allowing the six-degree-of-freedom robotic arm to travel more accurately and swiftly along the trajectory of the target point.

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Expert Control of Mine Hoist Control System

Cited by 6 publications

References 18 publications

Application of Expert Adjustable Fuzzy Control Algorithm in Temperature Control System of Injection Machines

Application of Expert Adjustable Fuzzy Control Algorithm in Temperature Control System of Injection Machines

Research on load monitoring technology of mine hoist based on machine vision

Control and physical verification of 6-DOF manipulator for power inspection robots based on expert PID algorithm

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