this report explores the experimental identification of magnetic flux density within the motor air gap, focusing on the development of a robot-based approach to automate the scanning procedure. Emphasis is placed on a...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
this report explores the experimental identification of magnetic flux density within the motor air gap, focusing on the development of a robot-based approach to automate the scanning procedure. Emphasis is placed on analyzing the distribution of magnetic flux within the motor’s spatial air gap, as well as the amplification of harmonics resulting from changes in air gap orientation. Drawing upon experimental findings, a model is proposed to illustrate the three-dimensional distribution of magnetic flux within the gap.
In the paper the heating system was presented that features the temperature profiling algorithm that reduces the amount of heat delivered to the building when no people are present inside it. the main focus of the pap...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
In the paper the heating system was presented that features the temperature profiling algorithm that reduces the amount of heat delivered to the building when no people are present inside it. the main focus of the paper is to calculate the amount of saved energy by using the mathematical model of the system. For the purpose of this analysis, data acquisition system was implemented. Measurements acquired from the system were used to create a mathematical model of the heating system, which was then applied to energy efficiency comparative analysis. Additionally, other application of this model was presented as a way to optimise the temperature profiling algorithm.
the paper presents an adaptive local path planner based on the Artificial Potential Field algorithm and the WidrowHoff rule. the proposed algorithm maintains the required distance from obstacles. the limitation of the...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
the paper presents an adaptive local path planner based on the Artificial Potential Field algorithm and the WidrowHoff rule. the proposed algorithm maintains the required distance from obstacles. the limitation of the scaling factor of repulsive potential allows for proper continuous operation. It provides smooth, collision-free, and goal-reaching operation of mobile robots. the impact of adaptation gain and the required distance from obstacles on robot movement have been examined in randomly generated environments.
this study explores the application of Control Barrier Function (CBFs) for a dynamic constrained control for autonomous vehicle addressing road rules such as lane-keeping, lane changing, overtaking, and right-of-way. ...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
this study explores the application of Control Barrier Function (CBFs) for a dynamic constrained control for autonomous vehicle addressing road rules such as lane-keeping, lane changing, overtaking, and right-of-way. In particular, it shows the suitability of CBFs in encoding specific driving styles and strategies. this architecture doesn’t need Vehicle-to-Vehicle (V2V) communication, relying only on vehicle and infrastructure sensors. Results from experiments in a simulated urban scenarios highlight the feasibility and efficiency of the proposed approach.
Collaborating robots are used at production processes to interact with workers and they don’t need separation by protective devices. these robots could be used for in-place geometric measurements through some adjustm...
Collaborating robots are used at production processes to interact with workers and they don’t need separation by protective devices. these robots could be used for in-place geometric measurements through some adjustments. this paper deals withthe advantages of highly accurate geometric measurements using a cobot, steps of adjustments are described and some first startup measurements are presented.
this work concerns an attempt to solve the problem of selecting controller gains based on decompositions of the inertia matrix. the results presented are limited to the task of trajectory tracking by fully actuated un...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
this work concerns an attempt to solve the problem of selecting controller gains based on decompositions of the inertia matrix. the results presented are limited to the task of trajectory tracking by fully actuated underwater vehicles. the proposed approach uses properties of Inertial Quasi-Velocities (IQV) known from the literature. the novelty is to show that by means of the examination of vehicle dynamics, it is possible to tune the controller described by classical variables and to show the effects of disturbances not adequately taken into account due to the displacement of the vehicle’s center of mass. An algorithm for conducting gain selection and simulation examples of its application to a 6 DOF underwater vehicle model are proposed.
In paper, forecasting models using Prophet algorithm for occupational diseases incidence rate for Polish coal mining are presented. Prior to this, data is analyzed and approach for building forecasting models in Proph...
In paper, forecasting models using Prophet algorithm for occupational diseases incidence rate for Polish coal mining are presented. Prior to this, data is analyzed and approach for building forecasting models in Prophet is described in details. Forecasting models for occupational diseases incidence rate are revealed, respectively for all sectors in Poland, mining industry and finally for coal mining including only pneumoconiosis. Improved forecast accuracy with presented models might provide coal mine enterprises more precise data, supporting safety management in those organizations.
the increasing integration of robots into daily life requires enhanced autonomy capabilities and better levels of robustness. To address robot localization, this work proposes Hybrid AMCL, an extension of the original...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
the increasing integration of robots into daily life requires enhanced autonomy capabilities and better levels of robustness. To address robot localization, this work proposes Hybrid AMCL, an extension of the original Adaptive Monte Carlo Localization (AMCL) algorithm, incorporating visual cues in the form of natural rectangles, usually present indoors, to overcome difficulties posed by scenarios lacking geometric features such as corridors. To this end, this work also introduces Rectangle Intersection-based Detector using Graphs and Elongation (RIDGE), a novel algorithm based on the idea of finding quadrilaterals in images, corresponding to real-world rectangles. the effectiveness of Hybrid AMCL is validated both in simulation using Isaac Sim and in a real-world environment. Our results show its potential for more accurate localization in challenging situations.
Point clouds are the most popular representation of 3D vision tasks and have a wide range of applications in the field of smart robots today. the disordered and unstructured nature of 3D points makes it more difficult...
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this paper presents the temperature control system designed for a heat source system in the form of an electric flow heater ensuring high performance of output temperature stabilization in the presence of significant ...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
this paper presents the temperature control system designed for a heat source system in the form of an electric flow heater ensuring high performance of output temperature stabilization in the presence of significant flow rate variations. For this purpose, the PI controller was supplemented with a gain scheduling technique and a feedforward compensator based on a simple dynamic model. Two approaches for designing the feedforward compensator are verified. Simulation studies and practical verification show that control performance can be increased by introducing additional transportation delay time synchronization in the feedforward compensator.
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