scholarly journals Minimization of the Energy Consumption in Industrial Robots through Regenerative Drives and Optimally Designed Compliant Elements

2020 ◽  
Vol 10 (21) ◽  
pp. 7475
Author(s):  
Ilaria Palomba ◽  
Erich Wehrle ◽  
Giovanni Carabin ◽  
Renato Vidoni
Keyword(s):  
Energy Consumption ◽  
High Speed ◽  
Design Method ◽  
Electrical Energy ◽  
Motor Drives ◽  
Industrial Robots ◽  
Test Cases ◽  
Electrically Actuated ◽  
System Energy ◽  
The Relationship

This paper describes a method for reducing the energy consumption of industrial robots and electrically actuated mechanisms performing cyclic tasks. The energy required by the system is reduced by outfitting it with additional devices able to store and recuperate energy, namely, compliant elements coupled in parallel with axles and regenerative motor drives. Starting from the electromechanical model of the modified system moving following a predefined periodic path, the relationship between the electrical energy and the stiffness and preload of the compliant elements is analyzed. The conditions for the compliant elements to be optimal are analytically derived. It is demonstrated that under these conditions the compliant elements are always beneficial for reducing the energy consumption. The effectiveness of the design method is verified by applying it to two test cases: a five-bar mechanism and a SCARA robot. The numerical validations show that the system energy consumption can be reduced up to the 77.8% while performing a high-speed, standard, not-optimized trajectory.

A Dynamic Simulation Model of Industrial Robots for Energy Examination Purpose

2015 ◽  
Vol 805 ◽  
pp. 223-230 ◽  
Author(s):  
Paryanto ◽  
Alexander Hetzner ◽  
Matthias Brossog ◽  
Jörg Franke
Keyword(s):  
Energy Consumption ◽  
Control Systems ◽  
Feedback Linearization ◽  
Coulomb Friction ◽  
State Of The Art ◽  
Industrial Robot ◽  
Motor Drives ◽  
Industrial Robots ◽  
Dynamic Simulation Model ◽  
Linear Damping

In this paper, a modular dynamic model of an industrial robot (IR) for predicting and analyzing its energy consumption is developed. The model consists of control systems, which include a state-of-the-art feedback linearization controller, permanent magnet synchronous drives and the mechanical structure with Coulomb friction and linear damping. By using the developed model, a detailed analysis of the influence of different parameter sets on the energy consumption and loss energy of IRs is investigated. The investigation results show that the operating parameters, robot motor drives, and mechanical damping and elasticity of robot transmissions have a significant effect on the energy consumption and accuracy of IRs. However, these parameters are not independent, but rather interrelated. For example, a higher acceleration and velocity shortens IRs’ operating periods, but needs a greater motor current, tends to excite vibrations to a greater extent, and thus produces a higher amount of loss energy.

scholarly journals An Empirical Analysis of Energy Consumption, FDI and High Quality Development Based on Time Series Data of Zhejiang Province

2020 ◽  
Vol 17 (9) ◽  
pp. 3321
Author(s):  
Shaolong Zeng ◽  
Yiqun Liu ◽  
Junjie Ding ◽  
Danlu Xu
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Energy Consumption ◽  
Open Economy ◽  
High Speed ◽  
Time Series Data ◽  
Rapid Development ◽  
Series Data ◽  
High Quality ◽  
The Relationship

This paper aims to identify the relationship among energy consumption, FDI, and economic development in China from 1993 to 2017, taking Zhejiang as an example. FDI is the main factor of the rapid development of Zhejiang’s open economy, which promotes the development of the economy, but also leads to the growth in energy consumption. Based on the time series data of energy consumption, FDI inflow, and GDP in Zhejiang from 1993 to 2017, we choose the vector auto-regression (VAR) model and try to identify the relationship among energy consumption, FDI, and economic development. The results indicate that there is a long-run equilibrium relationship among them. The FDI inflow promotes energy consumption, and the energy consumption promotes FDI inflow in turn. FDI promotes economic growth indirectly through energy consumption. Therefore, improving the quality of FDI and energy efficiency has become an inevitable choice to achieve the transition of Zhejiang’s economy from high speed growth to high quality growth.

Energy Efficiency and Performance Optimized Control of a Hybrid Feed Drive

2015 ◽  
Author(s):  
Molong Duan ◽  
Chinedum E. Okwudire
Keyword(s):  
Energy Efficiency ◽  
Machine Tools ◽  
High Speed ◽  
Control Strategies ◽  
Electrical Energy ◽  
Motor Drives ◽  
Precise Positioning ◽  
Feed Drive ◽  
And Performance ◽  
Precision Machine Tools

Linear motor drives (LMDs) are well known to provide significant advantages in terms of positioning speed and precision over traditional screw drives (SDs), making them better suited for high-speed, high-precision machine tools. However, their use in such machine tools is limited by their tendency to consume a lot of electrical energy and cause thermal issues that help drive up costs. A hybrid feed drive (HFD) has been proposed as a possible solution to this dilemma. The HFD combines LMD and SD actuation to achieve speeds and accuracies similar to LMDs while consuming much less energy. This paper explores control strategies to further improve the performance of the HFD without unduly sacrificing its efficiency. First, it highlights two performance limitations of the controller proposed for the HFD in prior work, namely, imperfect tracking and suboptimal feedback gains. Then it compares two approaches for achieving perfect tracking with regard to performance and energy efficiency. Finally, it presents an approach for optimizing the feedback gains of the HFD to achieve the best positioning performance. Simulations and experiments are used to demonstrate significant gains in precise positioning using the methods proposed in this paper, while maintaining superb energy efficiency relative to an equivalent LMD.

Innovative Method to Achieve Product Quality Convergence and Optimal Electrical Energy Consumption by Changing Motor Frequency in Batch Annealing

2013 ◽  
Vol 330 ◽  
pp. 153-157
Author(s):  
Hamidreza Mollagoli ◽  
Meysam Heydarian
Keyword(s):  
Energy Consumption ◽  
Product Quality ◽  
High Speed ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Motor Speed ◽  
Optimal Frequency ◽  
Batch Annealing ◽  
Strong Convection ◽  
Cold Rolled

The batch annealing process is used for heat treatment of coils output of the cold rolled process. In this process, high speed fan motors are used to generate strong convection currents and thermal heat convergence in all coil layers. Several factors could affect product quality grade. In this work by changing the motor speed, optimal frequency is reported to have the highest quality convergence and lowest energy consumption. For testing, frequencies of 45, 55, 65 and 75 Hz were tested. The results showed that there is highest quality convergence and lowest electrical energy consumption in frequency of 55 Hz. The practical solution represented in this work can be used to achieve optimal frequency for each condition.

scholarly journals DYNAMIC BEHAVIOUR MAINLY ON PERFORMANCES, ENVIRONMENTAL, SAFETY AND HEALTH BENEFITS OF EUROPEAN HIGHSPEED TRAINS (MADRID- BARCELONA HIGHSPEED LINE)

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Harish Chandra Maganti ◽  
Yatish Manju ◽  
Naga Sai Dilip Kumar Akula
Keyword(s):  
Energy Consumption ◽  
High Speed ◽  
Energy Use ◽  
Health Benefits ◽  
Electrical Energy ◽  
Environmental Safety ◽  
Pollutant Emissions ◽  
Railway Systems ◽  
Safety And Health ◽  
High Speed Trains

The main aim of this project is to study the Dynamic Behavior mainly focused on Environmental, Safety and Health benefits of different High-Speed Trains which are ETR500, ETR1000, ICE 3, Talgo 350, and TGVThalys with respect to their performance in the HighSpeed line of Madrid – Barcelona which has a speed limit of 300 km/hr. The main input parameters which are taken into consideration are Mass, Line Speed, Distance, Tractive Effort, Time, Speed, Energy Consumption, etc., Ratios of Mass/Passengers, Energy Consumption/Wheel, Etc. From this comparison, we get to know the performances of different type of high-speed trains in Madrid – Barcelona high-speed line and we can suggest the best one considering all Railway System factors considering all these factors. Railway Systems provide substantial benefits for the Energy-Consuming to the Environment. By using electrical Energy sources and more efficient mobility, Railway Transport can lower energy use and reduce CO2 and Pollutant Emissions.

Design Method of DLMS Adaptive Filter Based on FPGA

2012 ◽  
Vol 182-183 ◽  
pp. 685-689
Author(s):  
Jing Dai ◽  
Rui Zhou ◽  
Shi Tang
Keyword(s):  
Signal Processing ◽  
Adaptive Filter ◽  
High Speed ◽  
Design Method ◽  
Time Sequence ◽  
Time Signal ◽  
High Quality ◽  
Interference Signals ◽  
The Relationship ◽  
Real Time Signal Processing

This paper proposed DLMS algorithm which is suitable for real-time signal processing. The algorithm adopts hardware multiplier and pipeline technology to accelerate the operation of the system. By analyzing the time sequence and spectrum of the output signals, the attenuation of the interference signals is about 51dB. It can further demonstrate the high quality and high speed of the DLMS algorithm to filter out the interference signals, and well handle the relationship between the resources and speed of FPGA to meet the requirements of high-speed signal processing.

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