Power Consumption Model of Permanent-Magnet Direct-Drive Belt Conveyor System Based on GACO–BP

2022 ◽  
Author(s):  
Xuyang Han ◽  
Guimei Wang ◽  
Jiehui Liu ◽  
Lijie Yang ◽  
Pingge Zhang
Keyword(s):  
Power Consumption ◽  
Permanent Magnet ◽  
Total Power ◽  
Direct Drive ◽  
Belt Conveyor ◽  
Conveyor System ◽  
Belt Speed ◽  
Speed Regulation ◽  
Drive Belt ◽  
Consumption Model

Permanent-magnet direct-drive belt conveyors (PMDDBCs) rotate at high speed most of the time, resulting in a large number of invalid energy consumption. To realize the speed regulation of PMDDBC, it is necessary to clarify the relationship between the belt speed, coal quantity of the conveyor and total power of the system. Based on the BP neural network, this paper establishes the power consumption model of PMDDBC, which is related to coal quantity, belt speed and total power. Furthermore, an improved hybrid algorithm (GACO) that combines the advantages of genetic algorithm (GA) and ant colony optimization (ACO) is proposed to optimize the BP power consumption model. The GACO–BP power consumption model is obtained. The original power consumption model is compared with the GACO–BP power consumption model through experiments. Results demonstrate that the GACO–BP power consumption model reduces various prediction errors, while the optimization ability, prediction accuracy and convergence speed are significantly enhanced. It provides a reliable speed regulation basis for the permanent-magnet direct-drive belt conveyor system and also provides a theoretical reference for energy savings and consumption reduction in the coal industry.

Control Algorithm of Permanent Magnet Direct Drive Belt Conveyor System for Mining Based on Reduced Order Model

2021 ◽  
Vol 35 (14) ◽  
Author(s):  
Jiehui Liu ◽  
Hao Qin ◽  
Guimei Wang ◽  
Haichao Zhao
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Reduced Order Model ◽  
Direct Drive ◽  
Belt Conveyor ◽  
Order Model ◽  
Conveyor System ◽  
Reduced Order ◽  
Predictive Controller ◽  
Drive Belt

Over the decades, permanent magnet synchronous motor (PMSM) has been widely used in coal mine production. In this paper, an optimized neural network predictive controller (NNPC) of permanent magnet direct drive belt conveyor system (BCS) for mining based on reduced order model (ROM) is established. First, in order to establish the full order model of the permanent magnet direct drive BCS, CEMA is used for dynamic analysis, and the dynamic equation of the permanent magnet direct drive BCS is established. Second, the Proper Orthogonal Decomposition (POD) method is used to reduce the order in this paper. Finally, the NNPC of permanent magnet direct drive BCS based on the ROM is proposed. The simulation result shows that the order of BCS model is effectively reduced by the POD method. The NNPC based on the ROM has a good performance in the control of permanent magnet direct drive BCS, and the error between of the full order model and the ROM is 0.19[Formula: see text]m/s.

scholarly journals Speed control of high power multiple drive belt conveyors

2021 ◽  
Vol 27 (1) ◽  
pp. 9-15
Author(s):  
Milan Vasić ◽  
Nenad Miloradović ◽  
Mirko Blagojević
Keyword(s):  
Power Consumption ◽  
High Power ◽  
Material Flow ◽  
Mining Industry ◽  
Electricity Consumption ◽  
Belt Conveyor ◽  
Speed Regulation ◽  
Drive Belt ◽  
Simulation Results ◽  
Belt Conveyors

Belt conveyors play a very important role in the continuous transport o f bulk and piece material, especially in the mining industry. However, the use o f belt conveyors results in high electricity consumption. A reduction in the power consumption can be achieved by adjusting the speed o f the belt conveyor to match the material flow. However, inappropriate and frequent speed changes can cause serious damage to the conveyor elements. This paper presents a procedure for adjusting the belt conveyor speed to match the profile o f the material on the belt, as well as a detailed procedure for determining the time needed to accelerate/decelerate the belt conveyor. The research was performed on an actual 640 m long belt conveyor used for transport o f overburden at the surface mine Drmno (Serbia). The simulation results show that the speed regulation is completely justified because the conveyor operated at speeds lower than nominal throughout the testing.

Research on Power Consumption Model of Permanent Magnet Direct Drive Belt Conveyor System Based on Fruit Fly Optimization Algorithm-Generalized Regression Neural Network-Particle Swarm Optimization

2021 ◽  
Vol 16 (6) ◽  
pp. 941-948
Author(s):  
Gui-Mei Wang ◽  
Li-Chen Zhang ◽  
Jie-Hui Liu ◽  
Li-Jie Yang
Keyword(s):  
Power Consumption ◽  
Permanent Magnet ◽  
Optimization Algorithm ◽  
Fruit Fly ◽  
Generalized Regression Neural Network ◽  
Fruit Fly Optimization Algorithm ◽  
Direct Drive ◽  
Fruit Fly Optimization ◽  
Consumption Model ◽  
Generalized Regression

The permanent magnet direct drive electric drum is used to replace the driving device of the traditional belt conveyor, which simplifies the structure. However, the permanent magnet direct drive electric drum still operates in a high speed and stable state after starting, and cannot transport materials reasonably, belt speed cannot match the coal quantity reasonably; the problem of energy waste is still severe. Thus, based on fruit fly optimization algorithm-generalized regression neural network-particle swarm optimization algorithm, the power consumption network model of the permanent magnet direct drive belt conveyor system is established. The relationship among belt velocity, coal transport quantity and power is obtained, and the optimal belt velocity is found with the power consumption network model. Thus, the minimum power is obtained. The algorithm selects the optimal smoothing factor by fruit fly optimization algorithm, inputs the optimal smoothing factor into generalized regression neural network and establishes the optimal power consumption model. Then establishes the matching relationship of coal quantity, optimal power, and optimal belt speed in the power consumption model by the adaptive weight particle swarm optimization. The model is compared with the network model with smoothing factors of 0.7 and 0.4. The comparisons show that the optimized model performs better, which can be better applied to establish the energy consumption model of the system.

scholarly journals Non-reloading coal transportation in the eastern inclined shaft of “Raspadskaya” mine

2021 ◽  
Vol 303 ◽  
pp. 01027
Author(s):  
Vadim Yurchenko ◽  
Valeriy Nesterov
Keyword(s):  
Cross Section ◽  
Conveyor Belt ◽  
Belt Conveyor ◽  
Drive Power ◽  
Belt Drives ◽  
Belt Speed ◽  
Load Carrying ◽  
Drive Belt ◽  
Material Load ◽  
Belt Width

The planned increase in the mine output from 6.5 to 13.6 million tons per year has set the task of reconstructing a conveyor transport in the eastern inclined shaft of the Raspadskaya mine. The roadway length is 4100 m; the reduced inclination angle is +7°40´. An attempt was made to combine all the positive global practices in one project: the distribution of drive power along the length of a conveyor belt, minimizing the capital cost of implementation. Within the framework of this article, an approach to choosing the speed of a con-veyor belt is discussed, a comparative analysis of the two most com-mon types of intermediate “tripper-type” and “belt-to-belt” drives is given; calculation of a belt conveyor with intermediate “belt-to-belt” drives providing non-reloading conveying in the eastern inclined shaft. Pull force calculations showed that a conveyor belt with four interme-diate “belt-to-belt” drives can be implemented as follows: belt width – 1400 mm, belt speed – 4.0 m/s, mono-material load-carrying belt – PVG-4000, mono-material drive belt – PVG-1400, 2-pulley drive units when mounted on one side: head drive power – 2×1000 = 2000 kW, intermediate drive power – 2×1600 = 3200 kW. Thus, the use of a conveyor belt with four intermediate “belt-to-belt” drives in the in-clined shaft will give the following results: non-reloading transporta-tion over the entire length of the shaft, reducing the additional degra-dation of transported coal due to the exclusion of reloading points, minimizing costs through the use of less durable belts, minimizing costs of sinking an inclined shaft of a smaller cross-section.

Study on Belt Conveyor Direct Driven by External-Rotor PMSM

2012 ◽  
Vol 619 ◽  
pp. 14-17 ◽  
Author(s):  
Gui Hong Feng ◽  
Jian Ying Yu ◽  
Bing Yi Zhang ◽  
Bing Wang ◽  
Han Guang Sun
Keyword(s):  
High Efficiency ◽  
Cooling System ◽  
Direct Drive ◽  
Belt Conveyor ◽  
Transmission Equipment ◽  
Transportation Capacity ◽  
Drive Belt ◽  
Belt Conveyors ◽  
Water Cooling System ◽  
External Rotor

As material transmission equipment, belt conveyor is widely used in coal, electricity, machinery and other industries. This paper proposes a belt conveyor that directly driven by external-rotor PMSM, the drive-roller is the external-rotor, remove coupling, reducer and hydraulic coupling. The new drive system features low power consumption, high efficiency, minimum in size and weight, stable and noiseless action. Ensure the same transportation capacity, taking the SSJ1000/2×75 belt conveyors as object design a 100kW external-rotor PMSM direct drive belt conveyor. The analysis result shows the new PMSM direct drive belt conveyor is feasible; at last, design a water cooling system for the fever problem of the new belt conveyor.

Magnetic Bearing Design for Reduced Power Consumption

1996 ◽  
Vol 118 (4) ◽  
pp. 839-846 ◽  
Author(s):  
E. H. Maslen ◽  
P. E. Allaire ◽  
M. D. Noh ◽  
C. K. Sortore
Keyword(s):  
Power Consumption ◽  
Permanent Magnet ◽  
Gas Turbines ◽  
Load Capacity ◽  
Magnetic Bearing ◽  
Magnetic Bearings ◽  
Fluid Film ◽  
Total Power ◽  
Total Power Consumption ◽  
Bearing Design

Magnetic bearings have relatively low power consumption compared to fluid film and rolling element bearings. They are now candidates for supporting gas turbines and aeropropulsion engines. This paper describes the design and construction of permanent magnet biased, actively controlled magnetic bearings for a flexible rotor. The rotor was originally supported in fluid film bearings consuming as much as 3000 watts of power. For the magnetic bearing, both permanent magnets and electromagnets are used in a configuration which effectively provides the necessary fluxes in the appropriate air gaps to support the rotor. The theoretical development related to the bearing design is presented along with some experimental performance results. The results include measurements of power consumption, load capacity, bearing linearized coefficients, and the dynamic response of the rotor. The measured total power consumption, excluding shaft losses, was 210 watts in the permanent magnet biased bearing.

Dynamics of Multiple-Drive Belt Conveyors during Starting

2016 ◽  
Vol 842 ◽  
pp. 141-146
Author(s):  
Indraswari Kusumaningtyas ◽  
Ashley J.G. Nuttall ◽  
Gabriel Lodewijks
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Element Model ◽  
Elastic Response ◽  
Belt Conveyor ◽  
Conveyor System ◽  
Start Up ◽  
Drive Belt ◽  
Stationary Conditions ◽  
Belt Conveyors

In this paper, the dynamics of multiple-drive belt conveyors during starting is discussed. The aim of the research is to determine whether the belt sections in a multiple-drive belt conveyor can be viewed as a single-drive belt conveyor, and whether the DIN 22101 standard for the starting of a single-drive belt conveyor can still be used for the starting of a multiple-drive belt conveyor. A finite element model of a belt conveyor system was built in Matlab, consisting of a model of the belt and its support structure, and a model of the drive system. In this work, the simulations were carried out for the starting procedures of empty belt conveyors with varying number of drives. For each simulation case, the linear start-up procedure was tested. The simulations focused on the study of the axial elastic response of the belt. The simulations revealed that, by using more drives, the maximum belt stress during non-stationary as well as stationary conditions decreased. However, when using reduced starting times, negative stresses occur in the system. Overall, it was observed that the behaviour of each section between two drive stations in the multiple-drive belt conveyor differed from those of the single-drive belt conveyor. Therefore, the DIN 22101 guidelines for the start-up of a single-drive belt conveyor cannot be applied directly for the start-up of a multiple-drive belt conveyor.

scholarly journals Speed regulation strategy and algorithm for the variable-belt-speed energy-saving control of a belt conveyor based on the material flow rate

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247279
Author(s):  
Jianhua Ji ◽  
Changyun Miao ◽  
Xianguo Li ◽  
Yi Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Flow Rate ◽  
Material Flow ◽  
High Energy ◽  
Practical Case ◽  
Belt Conveyor ◽  
Belt Speed ◽  
Speed Regulation ◽  
Energy Saving Control

As an important transportation, the belt conveyor has been widely used and researched. It is urgent to solve the problem of energy saving and consumption reduction of belt conveyor. Aiming at reducing high energy consumption in the rated-speed operation of a belt conveyor, the present paper establishes an energy-saving belt-speed model of a belt conveyor using a polynomial regression-fitting algorithm and a small number of sample observations, and proposes a speed regulation strategy and particle swarm optimization–proportional–integral–derivative algorithm for the variable-belt-speed energy-saving control of a belt conveyor based on the material flow rate. The control strategy and algorithm adjust the running speed of the belt conveyor accurately according to changes in the material flow rate, thus reducing damage of frequent speed regulation to the belt conveyor and saving energy. Simulation analysis of a practical case shows that energy-saving belt-speed model, speed regulation strategy, and algorithm effectively reduce the energy consumption of a belt conveyor, and they thus have high application value in coal, ports, power, mine, metallurgy, chemical, and other industries. Further work in this field can be focused on the prediction of material flow rate of belt conveyor, the controllable adjustment duration of algorithm and the reduction of overshoot.

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