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Development of an Algorithm for the Movement and Adjusting Measuring Transducers of an Automated Non-Destructive Testing System

Development of an Algorithm for the Movement and Adjusting M...

引用

Information, control, and Communication Technologies (ICCT), International Conference on

作者： Valeriy V. Malyy Maxim S. Gubin Alexandr S. Kostyukhin Alexey V. Fedorov Igor Y. Kinzhagulov Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia

This paper discusses the issues of development of an algorithm for the movement of the measuring module of an automated system for non-destructive quality testing of the solder joints of the engine nozzle. The object of testing is identified as a one with a complex geometric shape, the flaws in soldered joints of the test object occur during the manufacturing process. Defects studied in this paper are: «dry joint», «partial dry joint» and «cold lap». The relevance of the development, as well as the problems of production and testing of engine nozzles, which do not allow to identify the required defects at the early stages of manufacturing assembly units without destroying the integrity of the engine nozzle, are substantiated. The existing approaches are described in terms of the choice of methods and means for non-destructive testing of engine nozzles of complex geometric shapes, their advantages and disadvantages are identified. The existing problems in terms of automation of the pulse-echo and through-transmission methods of ultrasonic testing are analysed, the advantages and disadvantages of the proposed methods are identified. The main factors that reduce the probability of detecting defects are determined, namely, the instability of the acoustic contact between the transducer and the test object, as well as the deviation of the acoustic axis of the transducer from the normal to the surface of the test object. The requirements for the motion algorithm of the measuring module of an automated non-destructive testing system with feedback based on the signal amplitude measured during scanning from the structural elements of the internal structure of the engine nozzle are determined.

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Development of an Algorithm for Calculating the Parameters of the Primary Sensor Transducer for a Dynamic Indentation Device

Development of an Algorithm for Calculating the Parameters o...

引用

Information, control, and Communication Technologies (ICCT), International Conference on

作者： Oleg Kolganov Roman Egorov Alexander Ilyinsky Alexander Khoshev Igor Kinzhagulov Alexey Fedorov G. N. Lukyanov Faculty of Control Systems and Robotics ITMO University ST Petersburg Russia

This paper considers the issue of developing an algorithm for calculating the parameters of the primary transducer based on the magnetic induction method with differential inductors. A general algorithm for calculating the primary transducer and, in particular, the geometric parameters of the inductor and indenter has been developed.

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Flux Observer for the Levitated Ball with Relaxed Excitation Conditions

Flux Observer for the Levitated Ball with Relaxed Excitation...

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European control Conference (ECC)

作者： Alexey Ovcharov Alexey Vedyakov Kazak Sviatoslav Bespalov Vladimir Anton Pyrkin Alexey Bobtsov Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

This paper describes a magnetic flux observer for a nonlinear model of one degree of freedom magnetic levitation system. Recently presented parameter estimation-based observer for such system uses dynamic regressor extension and mixing method and requires non-square integrability property for the regressor to guarantee that an observer error convergences to zero. However, it is not satisfied in some operating modes. The model reduction and parameters recovery algorithm is proposed to estimate a flux value. The proposed algorithm requires relaxed excitation conditions, but an observer error converges to the bounded area instead of zero. The error depends on the threshold, which is used to determine the regressor linearly dependent components. It can be decreased with the threshold to an arbitrarily small number. The simulation results demonstrate the efficiency of the algorithm and comparison with the previous work.

关键词： Magnetic flux Heuristic algorithms Simulation Europe Observers Reduced order systems Nonlinear dynamical systems

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Ultrasonic Quality control of Polymer Composite Coatings

Ultrasonic Quality Control of Polymer Composite Coatings

引用

Information, control, and Communication Technologies (ICCT), International Conference on

作者： Alexey Shmakov Alexey Fedorov Irina Alifanova Vladimir Bychenok Igor Berkutov Faculty of Control Systems and Robotics ITMO University ST Petersburg Russia

Quality control of multilayer composite coatings of modern aircraft products is an urgent task. The purpose of this work is to substantiate the possibility of using the ultrasonic echo method for quality control of multilayer composite coatings. The objectives of this work are to compare two methods of ultrasonic testing-with piezoelectric and optoacoustic generation of acoustic vibrations-on experimental samples of multilayer composite coatings. The experimental study was carried out on samples with one-, two-and three-layer coatings with artificial defects on a metal substrate and a substrate made of polymer composite materials. It is established that the ultrasound echo method with piezoelectric and optoacoustic generation of acoustic vibrations allows detecting stratifications in the coating and between the coating and the substrate, and measuring the total thickness of coatings. The ultrasonic method with optical-acoustic generation also resolves the interface between layers of a multi-layer coating, which also allows us to estimate the thickness of individual layers in a multi-layer coating.

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Direct Adaptive control of LTV Discrete-time systems with Uncertain Periodic Coefficients*

Direct Adaptive Control of LTV Discrete-time Systems with Un...

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IEEE Conference on Decision and control

作者： Dmitry N. Gerasimov Dang Hien Ngo Vladimir O. Nikiforov Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

The paper considers the problem of the state-feedback adaptive control of a class of discrete linear time-varying plant with multisinusoidal parameters. The plant is representable in the strict-feedback form, in which the parameters are on the main diagonal of the state matrix. The amplitudes, frequencies, and the phases of the multisinusoids are not known a priori, however the maximum numbers of sinusoids (harmonics) in each parameter are available. The problem is solved by design of periodic parameters observers recovering the parameters dynamics, the plant parameterization, and developing a discrete-time adaptive backstepping controller. In order to tune the controller parameters and improve the closed-loop transient performance, an adaptation algorithm with memory regressor extension is applied. The main results of the paper are demonstrated by simulation.

关键词： Discrete-time systems Backstepping Heuristic algorithms Observers Harmonic analysis Adaptive control Transient analysis

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control System for Forearm Prosthesis with Three Degrees of Freedom in Wrist Module

Control System for Forearm Prosthesis with Three Degrees of ...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Natalia Gorokhova Svetlana Perepelkina Pavel Kovalenko Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (数字)9781728145907

ISBN: (纸本)9781728145914

The focus of the current research is the investigation of human wrist and its functions. The human wrist significantly contributes to human hand mobility, stability and manipulation activities. This research is devoted to the design of a control system for wrist module of a forearm prosthesis. The main features of the developed control system include three degrees-of-freedom in wrist module, minimization of physiological movements amplitude, provision of an ergonomic grip and holding objects regardless of their position, and the minimization of teaching period of a patient. By using a PID controller and a range of optimal settings, the authors made a functional control system which is able to work with a range of loads. The suggested control system can be used not only in existing prostheses but also in new projects of this field. This research and its perspectives would significantly improve the quality of life for people, who lost their limbs because of an amputation.

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A New Approach for Technological Processes Design Using Machine Learning Algorithms

A New Approach for Technological Processes Design Using Mach...

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International Russian Automation Conference (RusAutoCon)

作者： Aleksandr Laptev Sergey Tretyakov Yuri Andreev Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

In recent years, there has been an active introduction of digital and automated technologies in Russian mechanical engineering and instrumentation industries. Such systems are CAD, CAPP, MES systems, which allow to automate many processes in production. This study is devoted to CAPP (computer-aided process design systems), paying special attention to the methods used for the design of technological processes. The study showed that the search systems of existing CAPP are all based on manual entry of attributes and subsequent time-consuming analysis of search results, technological processes are dialogue mode. And one of the main factors determining the efficiency and competitiveness of the enterprise is a timely developed and established technological process. In order to increase the efficiency of the technological preparation stage of production, it is proposed a new method for designing technological processes in CAPP through the use of machine learning. Thus, the study made possible the development of a new automated process search system for analogue detail. Also the carried out study provides the algorithm, describing a new process engineering method with machine learning tools.

关键词： Process design Industries Machine learning algorithms Automation Instruments Production Machine learning Manuals Mechanical engineering

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Detecting and Classifying Surface Defects in Rolled Steel Sheets Using Deep Learning Techniques

Detecting and Classifying Surface Defects in Rolled Steel Sh...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Oleg Evstafev Sergei Shavetov Anton Pyrkin Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

The paper focuses on using Deep Learning (DL) and Computer Vision (CV) techniques to detect surface defects in rolled metal products. By utilizing a Convolutional Neural Network (CNN), various surface defects can be detected and recognized, ultimately improving production standards and certification of the metal products. Two types of lighting, diffuse and side, are used to improve defect detection, and image preprocessing methods are employed to enhance the quality of the input data. The purpose of this work is to develop a method for recognizing and classifying defects in metal surfaces from their images in real time.

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Position control of Servo Drive System Based on Interval Type-2 Fuzzy Logic Algorithm

Position Control of Servo Drive System Based on Interval Typ...

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International Workshop on Electric Drives: Optimization in control of Electric Drives (IWED)

作者： Galina L. Demidova Dmitry V. Lukichev Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia

This paper is extension of major research of application of fuzzy logic for position control of precision electromechanical system specifically pointing and tracking system of telescope. Proposed interval type-2 fuzzy logic algorithm is evolution type-1 algorithm for improving the efficiency of a drive system due to the fact that in type-2 fuzzy systems membership functions are tridimensional and include in their entire period footprint of uncertainty. To prove the effectiveness of the presented method of fuzzy type-2 logic we compared it with the traditional PI controller. The obtained results show good steady-state and dynamic performance and workability of the presented algorithm.

关键词： Fuzzy logic Torque Telescopes Uncertainty Position control Permanent magnet motors

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Preprocessing Digital Images for Enhanced Detection and Classification of Surface Defects in Cold-Rolled Sheet Metal

Preprocessing Digital Images for Enhanced Detection and Clas...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Oleg Evstafev Sergei Shavetov Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The article addresses the application of Deep Learning (DL) methods and Computer Vision (CV) for the recognition and classification of surface defects in sheet metal. A specialized image preprocessing method has been developed, based on calculating statistical characteristics and subtracting them from averaged values. This method enhances defect detection, especially on low-contrast images, without requiring significant computational resources. The preprocessing algorithm includes considerations for image merging, the use of sliding windows with filters of various sizes, and image segmentation for input into the neural network. A defect detection model based on the Faster R-CNN Convolutional Neural Network (CNN) ensures high sensitivity in Automated Optical Inspection systems (AOIS), detecting defects as small as 0.5×0.5 mm in real-time.

关键词： Optical filters Sensitivity Metals Lighting Optical imaging Real-time systems Classification algorithms Optical sensors Convolutional neural networks Defect detection

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