Model of Automatic Parking House and its Control

Tato diplomová práce se zabývá návrhem modelu automatického parkovacího domu a jeho řízení mikroprocesorovými deskami Arduino. Model je realizován hliníkovou rámovou konstrukcí s pohyblivým dvouosým systémem a oboustranným teleskopickým zakládacím mechanismem. Pro řízení modelu je použitý víceúrovňový řídicí systém, umožňující jak řízení pohybu jednotlivých os modelu, tak sběr dat ze snímačů a komunikaci s uživatelem.This master thesis deals with the design of a model of automatic parking house and its control using Arduino microcontroller boards. The model is realized by an aluminum frame structure with a two-axis motion system and a dual-sided sliding telescopic storage mechanism. A multi-level control system is used to control the model, allowing both the motion of the individual axes of the model and the collection of data from the sensors and communication with the user.352 - Katedra automatizační techniky a řízenívýborn

Visualization of Applications on HMI Touch Panel

Import 02/11/2016Bakalářská práce se zabývá návrhem vizualizační aplikace pro výukový model, sloužící jako hardwarová podpora k PLC automatu Siemens řady Simatic S7-1500 a její použití na HMI dotykovém panelu Siemens TP700 Comfort. V úvodu práce jsou popsány PLC automat a HMI panel včetně jejich částí a možností jejich programování. Dále je uveden návrh vizualizace a ovládání dvou aplikací pro výukový model. Následující část obsahuje popis tvorby podpůrného hardwaru, programu pro PLC a samotné vizualizace, včetně detailního popisu postupu její realizace a konfigurace jednotlivých oken.The bachelor thesis deals with the design of a visualization application for an educational model which serves as a hardware support for PLC Siemens Simatic S7-1500 and its use on the HMI touch panel, Siemens TP700 Comfort. In the introduction, the work describes the PLC and HMI panel including their parts and their programming options. The following part includes a proposal of a visualization and control of two educational applications for the training model. Next part describes creation of auxiliary hardware, of the PLC code and the visualization, with detailed documentation of its configuration.352 - Katedra automatizační techniky a řízenívýborn

The PID and 2DOF control of the integral system-influence of the 2DOF parameters and practical implementation

The article deals with the issue of using the Two Degree of Freedom (2DOF) PID controller to control an integral system and investigates by the simulation and experimental measurement what influence it has on the course of the control process compared to standard PID controller. The controlled plant is represented by the DC electric motor with worm gear and its output shaft rotation angle. The article studies the effect of the added parameters of the 2DOF controller on the dynamics of the closed-loop control. The influence of these parameters is then evaluated using the quality of feedback control criteria ITAE. The paper studies how the overshoot of the controlled variable during the setpoint step is eliminated using 2DOF control theory. The overshoot is caused due to an aggressive tuning of the controller to eliminate the disturbance effect on the controlled variable of the integral plants with dead zones.Web of Science551-21019

Path segmentation from point cloud data for autonomous navigation

Autonomous vehicles require in-depth knowledge of their surroundings, making path segmentation and object detection crucial for determining the feasible region for path planning. Uniform characteristics of a road portion can be denoted by segmentations. Currently, road segmen tation techniques mostly depend on the quality of camera images under different lighting conditions. However, Light Detection and Ranging (LiDAR) sensors can provide extremely precise 3D geometry information about the surroundings, leading to increased accuracy with increased memory consump tion and computational overhead. This paper introduces a novel methodology which combines LiDAR and camera data for road detection, bridging the gap between 3D LiDAR Point Clouds (PCs). The assignment of semantic labels to 3D points is essential in various fields, including remote sensing, autonomous vehicles, and computer vision. This research discusses how to select the most relevant geometric features for path planning and improve autonomous navigation. An automatic framework for Semantic Segmentation (SS) is introduced, consisting of four processes: selecting neighborhoods, extracting classification features, and selecting features. The aim is to make the various components usable for end users without specialized knowledge by considering simplicity, effectiveness, and reproducibility. Through an extensive evaluation of different neighborhoods, geometric features, feature selection methods, classifiers, and benchmark datasets, the outcomes show that selecting the appropriate neighborhoods significantly develops 3D path segmentation. Additionally, selecting the right feature subsets can reduce computation time, memory usage, and enhance the quality of the results.Web of Science136art. no. 397

A comparative study of fuzzy domination and fuzzy coloring in an optimal approach

An optimal network refers to a computer or communication network designed, configured, and managed to maximize efficiency, performance, and effectiveness while minimizing cost and resource utilization. In a network design and management context, optimal typically implies achieving the best possible outcomes between various factors. This research investigated the use of fuzzy graph edge coloring for various fuzzy graph operations, and it focused on the efficacy and efficiency of the fuzzy network product using the minimal spanning tree and the chromatic index of the fuzzy network product. As a network made of nodes and vertices, measurement with vertices is a parameter for domination, and edge measurement is a parameter for edge coloring, so we used these two parameters in the algorithm. This paper aims to identify an optimal network that can be established using product outcomes. This study shows a way to find an optimal fuzzy network based on comparative optimal parameter domination and edge coloring, which can be elaborated with applications. An algorithm was generated using an optimal approach, which was subsequently implemented in the form of applications.Web of Science1118art. no. 401

Application of fuzzy network using efficient domination

Let Heff (Veff, Eeff) be a finite simple connected graph of order m with vertex set Veff and edge set Eeff. A dominating set Sds ⊆ Ve f f is called an efficiently dominating set if, for every vertex ua ∈ VG, |NG[ua] ∩ Sds| = 1—where NG [ua] denotes the closed neighborhood of the vertex ua. Using efficient domination techniques and labelling, we constructed the fuzzy network. An algorithm has been framed to encrypt and decrypt the secret information present in the network, and furthermore, the algorithm has been given in pseudocode. The mathematical modelling of a strong fuzzy network is defined and constructed to elude the burgeoning intruder. Using the study of the efficient domination of fuzzy graphs, this domination parameter plays a nuanced role in encrypting and decrypting the framed network. One of the main purposes of fuzzy networks is encryption, so one of our contributions to this research is to build a novel combinatorial technique to encrypt and decode the built-in fuzzy network with a secret number utilizing effective domination. An illustration with an appropriate secret message is provided along with the encryption and decryption algorithms. Furthermore, we continued this study in intuitionistic fuzzy networks.Web of Science1110art. no. 225