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Štěpán Ožana

VSB - Technical University of Ostrava

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i-10 index

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Martin Pieš

VSB - Technical University of Ostrava

Dipankar Deb

Institute of Infrastructure Technology Research and Management

Radovan Hájovský

VSB - Technical University of Ostrava

Nihal Dalwadi

Institute of Infrastructure Technology Research and Management

Tomáš Dočekal

VSB - Technical University of Ostrava

Pavel Nevřiva

VSB - Technical University of Ostrava

Aleksandra Kawala-Sterniuk

Opole University of Technology

Zdeněk Slanina

VSB - Technical University of Ostrava

Jakub Możaryn

Warsaw University of Technology

Filip Krupa

VSB - Technical University of Ostrava

Cooperative Institutions

VSB - Technical University of Ostrava

Opole University of Technology

Warsaw University of Technology

University of Ostrava

Silesian University of Technology

Institute of Infrastructure Technology Research and Management

Slovak University of Technology in Bratislava

University of Opole

Symbiosis International University

Institute of Computer Science

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Papers

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A Double Resistive–Capacitive Approach for the Analysis of a Hybrid Battery–Ultracapacitor Integration Study

Energies (2025)

Adrian Chmielewski Piotr Piórkowski Krzysztof Bogdziński Paweł Krawczyk J. Lorencki

The development of energy storage systems is significant for solving problems related to climate change. A hybrid energy storage system (HESS), combining batteries with ultracapacitors, may be a feasible way to improve the efficiency of electric vehicles and renewable energy applications. However, most existing research requires comprehensive modelling of HESS components under different operating conditions, hindering optimisation and real-world application. This study proposes a novel approach to analysing the set of differential equations of a substitute model of HESS and validates a model-based approach to investigate the performance of an HESS composed of a Valve-Regulated Lead Acid (VRLA) Absorbent Glass Mat (AGM) battery and a Maxwell ultracapacitor in a parallel configuration. Consequently, the set of differential equations describing the HESS dynamics is provided. The dynamics of this system are modelled with a double resistive–capacitive (2-RC) scheme using data from Hybrid Pulse Power Characterisation (HPPC) and pseudo-random cycles. Parameters are identified using the Levenberg–Marquardt algorithm. The model’s accuracy is analysed, estimated and verified using Mean Square Errors (MSEs) and Normalised Root Mean Square Errors (NRMSEs) in the range of a State of Charge (SoC) from 0.1 to 0.9. Limitations of the proposed models are also discussed. Finally, the main advantages of HESSs are highlighted in terms of energy and open-circuit voltage (OCV) characteristics.

Resistive touchscreen

10.3390/en18020251

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Performance evaluation of RW‐Quadrotor and Bi‐Quadrotor for payload delivery

IET Intelligent Transport Systems (2023)

Nihal Dalwadi Dipankar Deb Štěpán Ožana

Abstract Payload delivery is one of the many Unmanned Aerial Vehicle (UAV) applications that save time, energy, and human resources. The present simulation study compares rotary‐wing quadrotors (RW‐Quadrotors) and tail‐sitter biplane quadrotors (Bi‐Quadrotors) under payload delivery conditions that help to choose the best UAV for the particular mission. A comparative study is performed based on (i) time taken to accomplish the given mission, (ii) trajectory tracking performance, (iii) motor speed throughout the entire flight envelope, and (iv) remains SoC (State of Charge) after the mission. Furthermore, a Backstepping Controller (BSC) and an Adaptive Backstepping Controller (ABSC) are developed for both UAVs to handle mass changes during flight while Genetic Algorithm (GA) is used for the gain optimization. MATLAB Simulink‐based numerical simulation reveals that the Bi‐Quadrotor has a lower average rotor speed than the RW‐Quadrotor. However, the Bi‐Quadrotor's SoC after the mission is higher than the RW‐Quadrotor, and it took less time to accomplish the mission. The ABSC designed for RW‐Quadrotor and Bi‐Quadrotor effectively handles mass change during the mission. However, the BSC controller increases energy consumption for the Bi‐Quadrotor in the presence of wind gusts.

Payload (computing)

10.1049/itr2.12403

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Case studies on design, simulation and visualization of control and measurement applications using REX control system

AIP conference proceedings (2016)

Štěpán Ožana Martin Pieš Tomáš Dočekal

REX Control System is a professional advanced tool for design and implementation of complex control systems that belongs to softPLC category. It covers the entire process starting from simulation of functionality of the application before deployment, through implementation on real-time target, towards analysis, diagnostics and visualization. Basically it consists of two parts: the development tools and the runtime system. It is also compatible with Simulink environment, and the way of implementation of control algorithm is very similar. The control scheme is finally compiled (using RexDraw utility) and uploaded into a chosen real-time target (using RexView utility). There is a wide variety of hardware platforms and real-time operating systems supported by REX Control System such as for example Windows Embedded, Linux, Linux/Xenomai deployed on SBC, IPC, PAC, Raspberry Pi and others with many I/O interfaces. It is modern system designed both for measurement and control applications, offering a lot of additional functions concerning data archiving, visualization based on HTML5, and communication standards. The paper will sum up possibilities of its use in educational process, focused on control of case studies of physical models with classical and advanced control algorithms.

Upload

HTML5

10.1063/1.4952353

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A Comparative Survey Of Software Computational Tools In The Field Of Optimal Control

Štěpán Ožana Tomáš Dočekal Jakub Nemcik Filip Krupa Jakub Możaryn

Optimal control (OC) is the process of determining control and state trajectories for a dynamic system in order to achieve a given performance index. Most real-world optimal control problems (OCP) are too large and complex to be solved analytically as typically the dynamics is nonlinear and there are predefined constraints governing the allowed behavior of the system. The motivation of this paper is to give a brief overview of some ready-to-use numerical software tools available on the market and capable of solving optimal control problems. It summarizes their basic properties such as licensing policy and approach, and also the general formulation of OCP common for the described tools. As the optimal control uses an extensive theory with many approaches and methods for software implementation, the interest is reduced and focused on finding a feed-forward control signal as a solution of a deterministic continuous-time OCP over a fixed time interval, using Matlab-based third party toolboxes. The paper presents a particular case study which compares chosen numerical software tools in terms of achieved results and computational performance. This is done for a mathematical model of a single pendulum on the cart which represents a highly complex and nonlinear system that is suitable to be used as a benchmark.

Benchmark (surveying)

10.1109/pc52310.2021.9447510

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Design and Implementation of Adaptive NMPC in industrial applications: case study

Štěpán Ožana Filip Krupa Jakub Nemcik Gergely Takács Jakub Możaryn

This paper deals with the design and implementation of adaptive nonlinear predictive control (NMPC). The resulting control system is deployed on a softPLC embedded target in real-time via the REXYGEN control system. The paper describes functional prototype using softPLC hosting the NMPC algorithm applied for a nonlinear system consisting of three coupled tanks. The NMPC algorithm is solved via the receding horizon control method (RHC), formulated as a nonlinear programming problem (NLP) and numerically computed using the SOLNP solver. The adaptivity is provided by online identification via moving horizon estimation (MHE), keeping the model updated to avoid a model-plant mismatch. The methodology described in this paper can be easily transferred to a wider group of industrial nonlinear processes. Such created control unit can run in a standalone mode or can be connected to some exiting control system providing a necessary computational power and thus upgrading the quality of control significantly.

Model Predictive Control

Solver

Nonlinear model

10.1109/iccc54292.2022.9805970

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Citations (2)

An Approach to Optimization of Takagi-Sugeno Type Fuzzy Regulator Parameters by Genetic Algorithm from Mamdani Regulation Surface

Applied Mechanics and Materials (2012)

Jiří Kocián Štěpán Ožana Jiří Koziorek

Many scientific papers deals with the usage of fuzzy rules to implement PID control. Fuzzy models, especially the Takagi-Sugeno-type, have received significant attention from various fields of interest. It is very often very difficult to determine all the parameters of the Takagi-Sugeno-type controller. In this paper we present optimization of Takagi-Sugeno-type fuzzy regulator parameters by genetic algorithm. Implementation of universal fuzzy P/PS/PD function block implemented to the PLC Simatic S7 300/400 is introduced. Mamdani model is used as comparative model. Parameters of Takagi-Sugeno-type fuzzy regulator are determined by genetic algorithm optimization from comparative regulation surface.

Defuzzification

10.4028/www.scientific.net/amm.248.545

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Citations (1)

Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation

Jakub Możaryn Michał Fratczak Krzysztof Stebel Tomasz Kłopot Witold Nocoń

The paper aims to study the workflow of the detection center of stealthy attacks on industrial installations that generate increase in energy consumption while avoiding triggering fault detection and damaging the installation. Such long-lasting attacks on industrial facilities make production more expensive and less competitive. We present the concept of the remote detection system of cyberattacks directed at maliciously changing the controlled variable in an industrial process air conditioning system. The monitored signals are gathered at the PLC-controlled installation and sent to the remote detection system, where the discrepancies of signals are analyzed based on the Control Performance Assessment indices. The results of performed tests prove the legitimacy of the adopted approach.

Industrial control system

10.20944/preprints202212.0259.v1

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Citations (1)

Modeling and Control of Robotic Manipulators: A Fractional Calculus Point of View

Arabian Journal for Science and Engineering (2021)

Abhaya Pal Singh Dipankar Deb Himanshu Agrawal Kishore Bingi Štěpán Ožana

Robot manipulator

Manipulator (device)

Settling time

Serial manipulator

10.1007/s13369-020-05138-6

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Citations (22)

BEV Remaining Range Estimation Based on Modern Control Theory - Initial Study

IFAC-PapersOnLine (2019)

Jan Dedek Tomáš Dočekal Štěpán Ožana Tadeusz Sikora

The aim of this paper is to analyze the nature of algorithms for calculation of the range of battery electric vehicles (BEV) and to suggest possibilities of improvements of the current state in this field. Most of contemporary BEVs use inaccurate algorithms that probably do not take into account the planned route, but only the consumption history of the last few tens of kilometers. This regression analysis does not fulfill the sufficient quality for a reliable prediction of the exact range. Based on these erroneous predictions, the inexperienced BEV driver does not arrive at the planned destination and has to deal with the towing of the vehicle. This problem, along with the phenomenon called ”range anxiety” is one of the great negatives that hamper the mass expansion of BEV. While increasing the range is usually a question of increasing the battery capacity and thus the BEV price, deployment of accurate algorithms may not impact the overall cost of the vehicle and therefore has the potential to increase BEV’s popularity. This paper gives a description of the origin of the problem and motivation for its solution, then the specific methods that were created to identify the algorithms used by the most widespread cheap electric vehicles. The paper concludes with the discussion and evaluation of the results together with the possibilities of further research.

Popularity

Towing

Driving range

10.1016/j.ifacol.2019.12.738

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Citations (6)

An Identification of Bioimpedance Spectroscopy Parameters by the Least Squares Method

Lecture notes in electrical engineering (2020)

Štěpán Ožana Michal Prauzek Jaromír Konecny Aleksandra Kawala-Sterniuk

Identification

Least-squares function approximation

Matrix (chemical analysis)

10.1007/978-3-030-53021-1_21

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Citations (1)