Controls and Control Theory Commons^™

Algorithms Of System Synthesis For Stabilizing Uncertain Dynamic Objects, Uktam Farkhodovich Mamirov

Chemical Technology, Control and Management

The article deals with the formation of stable algorithms for the system synthesis for the stabilizing uncertain dynamic objects based on the method of local optimization in the presence of approximate mathematical models. The article analyzes the issues of building adaptive control systems using the concept of roughness, taking into account the assessment of the maximum allowable discrepancy between the object and its model. Some of the most constructive algorithms for determining pseudo-inverse matrices are given. When calculating the pseudo-inverse matrix of the control object, modified QR decomposition algorithms are used, obtained by deleting or assigning a column. The obtained …

Algorithms For Synthesis Of Discrete Controllers In Nonlinear Control Systems With Delay, Alisher Rajabaliyevich Mallayev, Suban Nurullayevich Xusanov

Chemical Technology, Control and Management

Algorithms for the synthesis of discrete controllers in nonlinear control systems, taking into account the delay, have been proposed. The synthesized vector controller provides a solution to the control problem, for example, the translation of the image point of a closed system from arbitrary initial conditions to the origin of the phase space coordinates. Built on the basis of a series-parallel set of invariant manifolds, the dynamic discrete controller ensures the fulfillment of the specified technological requirements, the asymptotic stability of a closed discrete-continuous system, and has the property of predicting the behavior of the system after sampling. These algorithms …

Principles Of Eliminating The Impact Of Disturbances On Integrated Information And Analytical Systems, Orifjon Olimovich Zaripov, Umidjon Sharabidinovich Hamrakulov, Fatima Faxritdinovna Isxakova

Chemical Technology, Control and Management

Today, production management using integrated information and analytical systems and their integration with the elements of Industry 4.0 is considered one of the most pressing problems in all areas of production. The correct formation of the structure of information systems in their development contributes to the formation of elements of Industry 4.0 and their further full and high-quality integration into other areas. When implementing these processes, one of the most important steps is to reduce the impact of disturbances on integrated information and analytical systems. Taking into account the above, the article considers mathematical models of the principles of eliminating …

Data Forgery Detection In Automatic Generation Control: Exploration Of Automated Parameter Generation And Low-Rate Attacks, Yatish R. Dubasi

Computer Science and Computer Engineering Undergraduate Honors Theses

Automatic Generation Control (AGC) is a key control system utilized in electric power systems. AGC uses frequency and tie-line power flow measurements to determine the Area Control Error (ACE). ACE is then used by the AGC to adjust power generation and maintain an acceptable power system frequency. Attackers might inject false frequency and/or tie-line power flow measurements to mislead AGC into falsely adjusting power generation, which can harm power system operations. Various data forgery detection models are studied in this thesis. First, to make the use of predictive detection models easier for users, we propose a method for automated generation …

A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire

Honors Theses

Reinforcement learning is thought to be a promising branch of machine learning that has the potential to help us develop an Artificial General Intelligence (AGI) machine. Among the machine learning algorithms, primarily, supervised, semi supervised, unsupervised and reinforcement learning, reinforcement learning is different in a sense that it explores the environment without prior knowledge, and determines the optimal action. This study attempts to understand the concept behind reinforcement learning, the mathematics behind it and see it in action by deploying the trained model in Amazon's DeepRacer car. DeepRacer, a 1/18^th scaled autonomous car, is the agent which is trained …

Adaptive Control And Parameter-Dependent Anti-Windup Compensation For Inertia Varying Quadcopters., Benjamin Edwards Farber

Electronic Theses and Dissertations

A novel parameter-dependent anti-windup compensator is developed to improve the performance of a saturation constrained model reference adaptive controller. The combined control structure solves the input saturation and stability problem for inertia varying quadcopters. The control synthesis follows the conventional two-step anti-windup design paradigm where a nominal controller is designed without consideration of the input saturation, and the anti-windup compensator is designed to minimize deviations from nominal performance caused by saturated inputs. To account for varying inertia of the quadcopter during package retrieval/delivery routines, the inertia parameters of the vehicle/package are estimated with an online recursive system identification technique, and …

Design And Control Of A Peristaltic Pump To Simulate Left Atrial Pressure In A Conductive Silicone Model, Jeremy Collins

Mechanical Engineering Undergraduate Honors Theses

According to the CDC, atrial fibrillation is responsible for more than 454,000 hospitalizations and approximately 158,000 deaths per year. A common treatment for atrial fibrillation is catheter ablation, a process in which a long flexible tube is guided through the femoral artery and to the source of arrhythmia in the heart, where it measures the electrical potential at various locations and converts problematic heart tissue to scar tissue via ablation. This paper details the design and control of a low-cost ($400) peristaltic pump system using repetitive control to replicate blood pressure in the left atrium in a conductive silicone model …

Path Planning With Deep Neural Networks, Paul Simmerling, Brendan Sayers, Paulo Alcantara Silva

Honors Scholar Theses

This report will cover the work and plans of the ECE 2107 Senior design team. The goal of the project is to design and build a fully autonomous self-driving car. This car will have a complete sensor suite including LIDAR, an IMU, a camera, and encoders. It will be based on a multi-level system where the highest level uses a neural network for advanced signal processing and analysis. The current state of the project is discussed as well as the final results. Project management and other constraints will be briefly investigated. This team is building a self driving car testbed …

Improvement Of Stability Of A Grid-Connected Inverter With An Lcl Filter By Robust Strong Active Damping And Model Predictive Control, Seungyong Lee

Graduate Theses and Dissertations

This study addresses development and implementation of robust control methods for a three-phase grid-connected voltage source inverter (VSI) accompanied by an inductive-capacitive-inductive (LCL) filter. A challenge of current control for the VSI is LCL filter resonance near to the control stability boundary, which interacts with the inverter control switching actions and creates the possibility of instability. In general, active damping is needed to stabilize the system and ensure robust performance in steady-state and dynamic responses. While many active damping methods have been proposed to resolve this issue, capacitor-current-feedback active damping has been most widely used for its simple implementation.

There …

Design Of Control Logic And The Human-Machine Interface For A Demonstration Plant Growth Chamber Implemented On A Programmable Logic Controller, Rachael Koehler

Biological and Agricultural Engineering Undergraduate Honors Theses

This honors thesis covers the planning, development, and implementation of system controls and human-machine interface (HMI) for a demonstration plant growth chamber. The work is a continuation of an ongoing project to be used as an educational and recruiting tool manifesting the skills acquired from the Biological and Agricultural Engineering Department at the University of Arkansas’ College of Engineering. This work includes emergency controls, overall design interface, and controls for both the aeration and lighting subsystems of the growth chamber. Overall design interface controls established included development of two user modes, Administrator and Visitor. The Administrator user will have full …

Anomaly-Handling In Lyapunov-Based Economic Model Predictive Control Via Empirical Models, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

A question that faces data-driven autonomous systems is verification that they will perform in a safe manner despite changes in the environment on which they act over time or incomplete knowledge of the system model. This work analyzes closed-loop stability of nonlinear systems under Lyapunov-based economic model predictive control (LEMPC) with data-driven models in the case where it is desirable to have the ability to detect when the data-driven model is or becomes insufficiently accurate for maintaining the closed-loop state in an expected region of state-space. Implications of the results for false sensor measurement cyberattacks seeking to impact the fidelity …

Distance-Based Formation Control Using Decentralized Sensing With Infrared Photodiodes, Steven Williams

LSU Master's Theses

This study presents an onboard sensor system for determining the relative positions of mobile robots, which is used in decentralized distance-based formation controllers for multi-agent systems. This sensor system uses infrared photodiodes and LEDs; its effective use requires coordination between the emitting and detecting robots. A technique is introduced for calculating the relative positions based on photodiode readings, and an automated calibration system is designed for future maintenance. By measuring the relative positions of their neighbors, each robot is capable of running an onboard formation controller, which is independent of both a centralized controller and a global positioning-like system (e.g., …

To Increasing The Absorption Area Of Column Apparatus With Tubular Lattice Nozzles, Nurmukhamedov Habibulla Sagdullaevich, Batir Babatulaev, Elbek Mavlanov, Samukdjan Nigmadjanov

Chemical Technology, Control and Management

The problem of creating a compact refrigeration zone for absorbers with tubular-lattice nozzles made of pipes with spiral turbulators is discussed. Research has been carried out on the influence of the groove depth h/D and α/α_гл of the step of their placement t/D on the degree of heat transfer intensification α/α_о in the transition region of the gas-liquid flow. An intensification of heat transfer has been achieved only by increasing the groove depth from h/D = 0,003 to 0,095 and the optimal pitch of the grooves, the intensity of heat transfer is 2 or more times. Research has …

Mathematical Models Of New Magnetoelastic Sensor For Measure Of Power And Vibration Parameters, Javhar Sulton Ugli Fayzullayev

Chemical Technology, Control and Management

In the paper, the mathematical models of the new magnetoelastic sensor for measuring power and vibration parameters are developed taking into account the aggregation or scattering of the parameters of electromagnetic chains and the characteristics of the magnetization curve of the magnetic conductor material. The analysis of the generated mathematical models and graphs based on them showed that the magnetic chain in which the coils are assembled does not take into account the nonlinearity of the magnetization curve of the magnetic conductive material (electrotechnical steel), the result is 12 ÷ 15% of the experimental results. It varies by 6 ÷ …

Estimating The Bubbling Process Of Ozone-Containing Gases In The Water, M.P. Parpiev, А.А. Simonov, Aleksey Kamardin, Abdulaziz M. Nazarov

Chemical Technology, Control and Management

Theoretical estimates were made and significant factors of dissolution of ozone-containing gases in water during bubbling in tanks were determined. The expediency of using microbubbles for more efficient saturation of water and aqueous solutions with ozone and generation of ozone with maximum concentration is shown. It is shown that when bubbling gas in water, including ozone-containing gas, the most important indicator is the volume gas content, which determines the ratio of the volume of the gas phase to the volume of the gas-liquid mixture in the contact apparatus. In the presence of a set of bubbles in the water, the …

Mathematical Model Of A System For Controlling And Diagnosing The Safety State Of Oil And Gas Territory, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Gayrat Bakhtiyarovich Tadzhitdinov, Sherzod Kholmuminovich Eshkuvatov

Chemical Technology, Control and Management

In this article, the way of creation mathematical model of a control system and diagnostics of the security status of the oil and gas territory is considered. For performing diagnostics of the safety of a status of the oil and gas territory as a mathematical apparatus it is suggested to use a boolean algebra. The main controlled objects and their technological parameters which define safety, integrity of saving, operational carrying out monitoring status as separate objects and all oil and gas territory, prediction of the expected threats, economic social, and economic damage are selected. For the creation of a mathematical …

Intellectual Educational Technologies Of Coherent Maintenance Of Digital Transformations, Igor Ivanovich Gancherenok, Ulugbek Mannanov, A.G. Davydovsky, Yu.A. Chernyavsky

Chemical Technology, Control and Management

The problems of forming adequate educational technologies and supporting digital transformations for the formation and development of relevant professional competencies as innovative receptivity are interpreted. The fundamental principles of educational technologies that act as a catalyst for educational innovations in the context of digital transformation of economic and social processes are described. The main modern educational platforms of educational support of professional activity are analyzed. The author's interpretation of the synergetic effects in the education system, as well as loans as an educational cryptocurrency is suggested.

Study Of The Rheological Properties Of The Suspension Formed During The Production Of Caustic Soda By The Lime Method, Aktam Ulashovich Erkaev, Dildora Tursunova

Chemical Technology, Control and Management

The process of obtaining sodium hydroxide - caustic soda by conversion of soda ash with lime milk in the presence of natural mirabilite - has been investigated. The influence of temperature, Na₂CO₃: Na₂SO₄ ratio, concentration of lime milk and duration of the conversion process on this process was studied by identifying their optimal values. The study of the rheological properties of the reaction pulp showed that it is mobile and well filtered, which makes it possible to obtain rapidly settling large crystals of Na₂CO₃·2Na₂SO₄, Na …

Methodology For Determination And Assessment Of Uncertainty Sources Of Textile Materials Total Thermal Resistance, Abdurauf Abdurashidovich Abdukayumov, Ortagoli Sharipovich Hakimov

Chemical Technology, Control and Management

The problems of improving of methods for determination of the total thermal resistance of textile materials are considered. A comparative analysis of the applied methods based on stationary and non-stationary heat exchange is performed. A higher accuracy of non-stationary methods based on measuring the cooling time of a heat cell with subsequent determination of the cooling rate and the total thermal resistance of the material under study is noted. A method is proposed for estimating the variance of the main values required for calculating the total thermal resistance of materials. The results of the study of the relationship between sources …

Analysis Of Consistency Of Similarity Predicates To Measures Of Similarity And Advantages Of Their Application In Digital Systems For Solving Intellectual Problems, Makhmudjon Abdullaev, Nodira Batirdjanovna Alimova

Chemical Technology, Control and Management

The results of the analysis of the correspondence of similarity predicates to similarity measures used in various metric methods used for signal classification and the feasibility of using similarity predicates in the construction of digital systems for solving intellectual problems, for which the simplification of computational operations is of no small importance, are presented. Some general and distinctive features of the similarity predicate are considered in comparison with the euclidean metric in relation to one-dimensional and two-dimensional spaces, and generalized to the case of n-dimensional metric spaces. The expediency of using methods based on the calculation of similarity predicates, which …