scholarly journals Multi-Inverter Linear Motor Based Vehicle Propulsion System for a Small Cargo Transportation

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4459
Author(s):  
Marek Michalczuk ◽  
Marcin Nikoniuk ◽  
Paweł Radziszewski
Keyword(s):  
Transportation System ◽  
Linear Motor ◽  
Transportation Systems ◽  
Drive System ◽  
Vehicle Propulsion ◽  
Multi Level ◽  
Drive Systems ◽  
The Impact ◽  
System Power ◽  
System Characteristics

The paper provides an analysis of a transportation system with a long stator linear drive. The presented analysis for an in-house transportation system may be easily scaled into large transportation systems like maglev and hyperloop. It investigates the impact of the division of the stator into shorter parts which are sequentially supplied. Then it compares the concept of single-inverter and multi-inverter drive systems. The presented research includes the analysis of drive system power parameters. The drive system characteristics depending on the length of the active part of the linear motor are presented for each configuration, followed by a description of differences in the required inverter power and the obtained average thrust force. The paper proposes a new arrangement of the multi-inverter drive system incorporating multi-level inverters, which allows decreasing voltage oscillations in the DC circuit of drive inverters. The operation of the transportation system is presented in a simulation study. The paper is concluded with the verification of the concept in an experimental study in a 50 m test track.

scholarly journals Application of D-Decomposition Technique to Selection of Controller Parameters for a Two-Mass Drive System

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6614
Author(s):  
Radosław Nalepa ◽  
Karol Najdek ◽  
Karol Wróbel ◽  
Krzysztof Szabat
Keyword(s):  
Analytical Formula ◽  
Drive System ◽  
Decomposition Technique ◽  
Motor Speed ◽  
Control Structures ◽  
Drive Systems ◽  
The Impact ◽  
The Mathematical Model ◽  
Theoretical Considerations ◽  
Selection Of

In this work, issues related to the application of the D-decomposition technique to selection of the controller parameters for a drive system with flexibility are presented. In the introduction the commonly used control structures dedicated to two-mass drive systems are described. Then the mathematical model as well as control structure are introduced. The considered structure has only basic feedbacks from the motor speed and PI type controller. Due to the order of the closed-loop system, the free location of the system’s poles is not possible. Large oscillations can be expected in responses of the plant. In order to improve the characteristics of the drive, the tuning methodology based on the D-decomposition technique is proposed. The initial working point is selected using an analytical formula. Then the value of controller proportional gain is decreasing, until the required value of overshoot is obtained. In the paper different advantages of the D-decomposition technique are presented, for instance calculation of global stability area for the selected gain and phase margin, the impact of parameter changes, and additional delay evident in the system. Theoretical considerations are confirmed by simulation and experimental results.

Measurement and Simulation of Electric Power Consumption of Feed Drive Systems

2013 ◽  
Author(s):  
Akio Hayashi ◽  
Ryuta Sato ◽  
Ryoma Iwase ◽  
Masayuki Hashimoto ◽  
Keiichi Shirase
Keyword(s):  
Power Consumption ◽  
Simulation Method ◽  
Linear Motor ◽  
Drive System ◽  
Ball Screw ◽  
Motor Drive ◽  
Feed Drive ◽  
Experimental Apparatus ◽  
Drive Systems ◽  
Feed Drive System

In this study, in order to investigate the power consumption of feed drive system, a mathematical model to predict for the electric power consumption of feed drive systems is proposed by using the single-axis experimental apparatus. This can be driven by either of ball screw or linear motor and it is possible to change the mechanical properties of the machine such as grease viscosity of the table. The power consumption is simulated by proposed simulation method based on the mathematical model of feed drive system and the simulated results are compared with the measured results of the experimental apparatus to confirm the validity of the simulated results. In addition, it is clarified that the energy usages of the feed drive system. The energy losses of the feed drive system are divided into the loss of viscous friction, coulomb’s friction, servo amplifier, and motor. These energy losses are calculated by the proposed model. Then, it is investigated that the influence of the velocity and the friction to the power consumption of feed drive system experimentally. As the results, it is confirmed that proposed simulation method can accurately predict the power consumption of the ball-screw feed drive system. It is also clarified that the friction energy loss of ball-screw drive is larger than one of linear motor drive, and the friction characteristics of linear guides influences the power consumption of linear motor drive system.

scholarly journals Modular transportation system with a three dimensional routeing

2015 ◽  
Vol 64 (4) ◽  
pp. 641-654
Author(s):  
Christoph Löffler ◽  
Wolf-Rüdiger Canders
Keyword(s):  
Three Dimensional ◽  
Transportation System ◽  
Linear Motor ◽  
Transportation Systems ◽  
Manufacturing Processes ◽  
Direct Drive ◽  
Electromagnetic System ◽  
Enterprise Logistics ◽  
High Flexibility ◽  
Guiding System

Abstract In intra-enterprise logistics and automation of manufacturing processes general a rising productivity by high flexibility is required. Existing transportation systems exclusively use two-dimensional track sections, because they can be served with standard drives. Because of these simple structures the transport speed is limited and thereby also the throughput. In this paper now a modular transportation system is presented which could reach higher speeds with a direct drive and the use of centrifugal force compensating curves. Simultaneously the system also can change the altitude. All this succeeds with the integration of three-dimensional track sections. Therefore a two piped guiding system with a long stator linear motor was designed. To combine the linear motor with the three dimensional track special stator elements were developed which allow a bending of the stator to follow the route course. The current work deals with the implementation of a mechanical passive switch, which is operated by the electromagnetic forces of the linear motor. So no additional mechanical actors or a separate electromagnetic system are necessary.

Model-Based Long-Range Transportation Planning Tool for New Jersey

2002 ◽  
Vol 1817 (1) ◽  
pp. 93-101
Author(s):  
Anthony J. De John ◽  
Robert Miller ◽  
Kyle B. Winslow ◽  
Jennifer J. Grenier ◽  
Deborah A. Cano
Keyword(s):  
New Jersey ◽  
Long Range ◽  
Travel Demand ◽  
Management Strategies ◽  
Transportation System ◽  
Transportation Systems ◽  
Analysis Tool ◽  
Demand Model ◽  
Demand Models ◽  
The Impact

The New Jersey Department of Transportation (NJDOT) updates its long-range transportation plan every 5 years. The plan sets forth strategies, provides a framework for directing investment, and identifies financial resources needed to sustain the plan’s vision. Setting the direction of a long-range transportation program revolves around forecasting future transportation conditions and managing investments to address future needs. An analysis tool was needed to help assess the impact of growth on the statewide transportation system and predict system performance based on multimodal strategic investments. The development and use of an analysis tool based on a travel demand model to assess congestion and mobility issues in 2025 are described. The analysis tool linked the state’s three metropolitan planning organization (MPO) regional travel demand models to perform a statewide assessment. Although the models were run independently, methods were developed to provide a common basis for forecasting future travel conditions. The models used MPO-generated trend-based growth in population and employment through 2025. Multimodal transportation supply and demand strategies, including transit improvements, capacity improvements, transportation demand management strategies, and intelligent transportation systems-transportation system management strategies, were simulated and tested to assess what types and combinations of improvements would be needed to relieve congestion and improve mobility. The tool proved very helpful in defining transportation needs and providing input to a financial assessment. The testing indicated that no single strategy is likely to improve future travel conditions, but a combination of multimodal strategies offers significant improvements over congestion levels predicted for 2025 if no improvements are made.

scholarly journals Change of Scene: The Geographic Dynamics of Resilience to Vehicular Accidents

2020 ◽  
Author(s):  
Timothy C. Matisziw ◽  
Mark Ritchey ◽  
Robert MacKenzie
Keyword(s):  
Emergency Response ◽  
Time Delays ◽  
Transportation System ◽  
Transportation Systems ◽  
Economic Systems ◽  
Commute Time ◽  
Location Modeling ◽  
Accident Response ◽  
The Impact ◽  
Over Time

AbstractMost have experienced the impact of vehicular accidents, whether it was in terms of increased commute time, delays in receiving goods, higher insurance premiums, elevated costs of services, or simply absorbing the daily tragedies on the evening news. While accidents are common, the complexity and dynamics of transportation systems can make it challenging to infer where and when incidents may occur, a critical component in planning for where to position resources for emergency response. The use of response resources is critical given that more efficient emergency responses to accidents can decrease the vulnerability of socio-economic systems to perturbations in the transportation system and contribute to greater resilience. To explore the resilience of transportation systems to disruptions due to vehicular accidents, a location modeling approach is described for identifying the origins of optimal responses (and associated response time) over time based upon the location of known accidents and response protocols. The characteristics of the modeled response can then be compared with those of the observed response to gain insights as to how resilience may change over time for different portions of the transportation system. The change in the location of the optimal sites over time or drift, can also be assessed to better understand how changes in the spatial distribution of accidents can affect the nature of the response and system resiliency. The developed approach is applied to investigate the dynamics of accident response and network resiliency over a three year period using vehicular crash information from a comprehensive statewide database.

scholarly journals Sensitivity of street network capacity under the rain impact: case study of Belgrade

Transport ◽  
2017 ◽  
Vol 33 (2) ◽  
pp. 470-477 ◽  
Author(s):  
Ivan Ivanović ◽  
Jadranka Jović
Keyword(s):  
Urban Transportation ◽  
Weather Conditions ◽  
Network Capacity ◽  
Research Area ◽  
Transportation System ◽  
Transportation Systems ◽  
Street Network ◽  
Adverse Weather ◽  
Demand Sensitivity ◽  
The Impact

It is generally know that adverse weather conditions cause changes in urban transportation system. Research of weather impact on the urban transportation system was additionally intensified by actualisation of climate changes problem. In urban area, precipitation may reduce the efficiency of transportation systems, since it often results in larger travel times and higher congestion levels in street networks. Therefore, it is important to examine the impact of precipitation on the urban street capacity. In accordance with climate characteristics of research area, the focus of this paper was on the rain impact. Impact of rain was analysed only in the context of transport supply, and not of transport demand. Sensitivity of the street network capacity was chosen to represent transportation system supply. It was analysed through the changes in saturation flow rate under the rain. Results of the research have shown significant sensitivity of street network capacity on the rain impact. Moreover, the rain impact was quantified by the capacity sensitivity coefficients, which were implemented in procedure of capacity calculation.

Thermal-aware Output Polarity Selection Based on And-Inverter Graph Manipulation

2019 ◽  
Vol 12 (1) ◽  
pp. 30-39 ◽  
Author(s):  
Apangshu Das ◽  
Sambhu Nath Pradhan
Keyword(s):  
Integrated Circuits ◽  
Power Density ◽  
Logic Synthesis ◽  
Programmable Logic Arrays ◽  
Power Switching ◽  
Nsga Ii ◽  
Multi Level ◽  
Search Approach ◽  
Efficient Power ◽  
The Impact

Background: Output polarity of the sub-function is generally considered to reduce the area and power of a circuit at the two-level realization. Along with area and power, the power-density is also one of the significant parameter which needs to be consider, because power-density directly converges to circuit temperature. More than 50% of the modern day integrated circuits are damaged due to excessive overheating. Methods: This work demonstrates the impact of efficient power density based logic synthesis (in the form of suitable polarity selection of sub-function of Programmable Logic Arrays (PLAs) for its multilevel realization) for the reduction of temperature. Two-level PLA optimization using output polarity selection is considered first and compared with other existing techniques and then And-Invert Graphs (AIG) based multi-level realization has been considered to overcome the redundant solution generated in two-level synthesis. AIG nodes and associated power dissipation can be reduced by rewriting, refactoring and balancing technique. Reduction of nodes leads to the reduction of the area but on the contrary increases power and power density of the circuit. A meta-heuristic search approach i.e., Nondominated Sorting Genetic Algorithm-II (NSGA-II) is proposed to select the suitable output polarity of PLA sub-functions for its optimal realization. Results: Best power density based solution saves up to 8.29% power density compared to ‘espresso – dopo’ based solutions. Around 9.57% saving in area and 9.67% saving in power (switching activity) are obtained with respect to ‘espresso’ based solution using NSGA-II. Conclusion: Suitable output polarity realized circuit is converted into multi-level AIG structure and synthesized to overcome the redundant solution at the two-level circuit. It is observed that with the increase in power density, the temperature of a particular circuit is also increases.

scholarly journals Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt
Keyword(s):  
Electric Power ◽  
Intelligent Transportation ◽  
Energy System ◽  
Transportation System ◽  
Electric Power System ◽  
Abu Dhabi ◽  
Road Transportation ◽  
Unit Distance ◽  
The Impact

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.

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