Electrification of an Innovative Directional Drilling Machine. Sizing and Design Models

Pugi, Luca; Berzi, Lorenzo; Savi, Raffaele; Vita, Valerio; Grasso, Francesco; Delogu, Massimo; Boni, Enrico

doi:10.23919/aeit50178.2020.9241151

Cited by 3 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This transition not only streamlines the management of auxiliary systems but also reinforces the essential connection between vehicle efficiency and advanced control technologies, setting a benchmark for future EV system innovations. Illustrative of this trend is a study by Pugi et al (2021), which highlights the significant enhancements made in electric directional drilling machines, marking them as exemplary cases of electrification in auxiliary elements and contributing to the sustainable progress of urban infrastructure development [17].…”

Section: Discussionmentioning

confidence: 99%

Series Hybrid Powertrains: Advancing Mobility Control in Electric Tracked Vehicle Technology

Çeliksöz,

Kılıç

2024

Preprint

View full text Add to dashboard Cite

This work targets the development of a mobility control system for high-speed series hybrid electric tracked vehicles, which operate with independent traction motors for each track. The scope of the research encompasses the modeling of the series hybrid powertrain specific to military tracked vehicles, as well as an in-depth analysis of their dynamic behavior. Subsequently, the study conducts a critical review of the mobility control approaches sourced from literature, identifying key techniques relevant to high-inertia vehicular applications. Building on the foundational models, the study puts forward a robust closed-loop mobility control system aimed at ensuring precise and stable off-road vehicle operations. The system's resilience and adaptability to a variety of driving conditions are emphasized, with a particular focus on handling maneuvers such as steering and pivoting, which are challenging operations for tracked vehicle agility. The performance of the proposed mobility control system is tested through a series of simulations, covering a spectrum of operational scenarios. These tests are carried out in both offline simulation settings, which permit meticulous fine-tuning of system parameters, and real-time environments that replicate actual field conditions. The simulation results demonstrate the system's capacity to improve vehicular response and highlight its potential impact on the future designs of mobility control systems for the heavy-duty vehicle sector, particularly in defense applications.

show abstract

Section: Discussionmentioning

confidence: 99%

Series Hybrid Powertrains: Advancing Mobility Control in Electric Tracked Vehicle Technology

Çeliksöz,

Kılıç

2024

Preprint

View full text Add to dashboard Cite

show abstract

Heavy-duty hybrid transportation systems: Demonstration and case studies

Pugi

Berzi

Ortenzi

2022

Hybrid Technologies for Power Generation

View full text Add to dashboard Cite

A Novel Moment of Inertia Identification Strategy for Permanent Magnet Motor System Based on Integral Chain Differentiator and Kalman Filter

et al. 2020

View full text Add to dashboard Cite

In a motor control system, the parameters tuning of speed and position controller depend on the value of the moment of inertia. A new moment of inertia identification scheme for permanent magnet motor system was proposed in this paper. This is an extension of the existing acceleration deceleration methods, which solves the large moment of inertia identification error caused by variable angular acceleration, large calculation error of inertia torque, and large measurement noise in the acceleration process. Based on the fact that the angular acceleration is not constant and the sampling signal is noisy, the integral chain differentiator was used to calculate the instantaneous angular acceleration at any time and suppress the sampling signal noise at the same time. The error function with instantaneous angular acceleration and inertia torque as parameters was designed to estimate the moment of inertia. In order to calculate the inertia torque accurately, viscous friction torque was considered in the calculation of inertia torque, and Kalman filter was used to estimate the total load torque to solve the problem of under rank of motor motion equation. Simulation and experimental results showed that the proposed method could effectively identify the moment of inertia in both noisy and noiseless environments.

show abstract

Electrification of an Innovative Directional Drilling Machine. Sizing and Design Models

Cited by 3 publications

References 15 publications

Series Hybrid Powertrains: Advancing Mobility Control in Electric Tracked Vehicle Technology

Series Hybrid Powertrains: Advancing Mobility Control in Electric Tracked Vehicle Technology

Heavy-duty hybrid transportation systems: Demonstration and case studies

A Novel Moment of Inertia Identification Strategy for Permanent Magnet Motor System Based on Integral Chain Differentiator and Kalman Filter

Contact Info

Product

Resources

About