Smart Electromechanical Systems: Recognition, Identification, Modeling, Measurement Systems, Sensors

✍ Scribed by Andrey E. Gorodetskiy, Irina L. Tarasova

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 271
• Series: Studies in Systems, Decision and Control, 419
• Category: Library

✦ Synopsis

This book presents the latest achievements in the field of theory and practice of information processing in the CNS SEMS. Recently, the task of integrating computer technologies, transmitting and storing information, monitoring and controlling objects of the physical world has become urgent. This capability is provided by Smart Electromechanical Systems (SEMS) used in Cyber-Physical Systems (CPhS). The main tasks in the field of theory and practice of SEMS are to ensure the efficiency, reliability and safety of functioning in real time. The task of obtaining reliable information about the selection environment, as well as object recognition and identification, is especially important when several SEMS interact in a group. Since in this case, it is necessary to ensure the safety and speed of the planned behavior of all members of the group.

The purpose of the publication is to familiarize with the latest achievements of scientists of the Russian Academy of Sciences and leading universities of Russia in the field of theory and practice of information processing in the CNS of EMS, as well as to familiarize with the development of methods and algorithms for recognition, identification and modeling based on the principles of bionics, adaptivity, intelligence and parallelism in information processing and computing.

Topics of primary interest include, but are not limited to the following:  

• Methods and systems of recognition and identification;
• Mathematical and computer modeling; 
• Measurement systems to identify the simulation of the selection environment;
• Sensors and auxiliary SEMS systems.

This book is intended for students, scientists and engineers specializing in smart electromechanical systems and robotics.

✦ Table of Contents

Preface
Contents
Methods and Systems of Recognition and Identification
Identification of SEMS Frequency Characteristics Using Basic Functions
1 Introduction
2 Mathematical Model of Measuring Signals in SEMS
3 Algorithm of Decomposition of Signals into Series of Basic Functions
4 Construction of Frequency Characteristics and Transfer Function of SEMS
5 Conclusion
References
Analysis of Relationships Between Problems of Finding “Interesting” Consequences and Constraints Satisfaction for SEMS Knowledge Bases in the Framework of N-tuple Algebra
1 Introduction
2 NTA Basics and Features
3 Properties of Interesting Consequences
4 Methods for Calculating “Interesting” Consequences
5 The Constraint Satisfaction Problem and Its Relationship with Logical Inference
6 Conclusion
References
Extended Object Detection: Flexible Object Description System for Detection in Robotic Tasks
1 Introduction
2 Multi-attribute Methods of Object Detection
3 Object Tracking
4 Complex Objects Detection Methods
5 The Software Implementation
6 Examples of System Functioning
7 Conclusion
References
Analysis of Energy and Noise Components of the Automatic Optoelectronic Drone Detection System
1 Introduction
2 Spectral Range
3 Principle of Operation
4 System Parameters
5 Detection Threshold
6 Signal-To-Noise Ratio in Pulsed Optical-Electronic Devices
7 Conclusion
References
Self-Moving Parallel Speleological Robot with Spatial Tactile System of Recognition Contact Surface
1 Introduction
2 The Current State of Problem of Robotization of Speleological Research
2.1 Comparative Analysis of Modern Speleological Robots
2.2 Description of SPSR with Spatial Tactile System of Recognition Contact Surface
2.3 Spatial Tactile System of Recognition Contact Surface Based on SPSR
2.4 Conducting Rescue Operations Using SPSR
3 Conclusions
References
Mathematical and Computer Modeling
Computer Modeling of Systems of Logical-Probabilistic Classification of Objects in the Environment of Choice
1 Introduction
2 Setting the Problem of Image Classification
3 Neural Network Algorithms for the Formation of Decision Rules
4 Algorithms of Logical-Probabilistic Classification
5 Computer Modeling of LPC Algorithms
6 Conclusion
References
Modeling of Systems of Logical-Linguistic Classification of Images
1 Introduction
2 Algorithms for Logical-Linguistic Classification
3 Computer Modeling of the LLC Algorithm
4 Conclusion
References
Assessment of UAV Intelligence Based on the Results of Computer Modeling
1 Introduction
2 The Task of Classifying Targets in the Environment of UAV Selection
3 Algorithms for Logical-Linguistic Classification
4 Testing of UAVs Using LLC Algorithms
5 Estimates of the Intelligence of a Single UAV Based on Test Results
6 Conclusion
References
Assessment of Group Intelligence SEMS
1 Introduction
2 Computer Modeling of Decision-Making by a Group of UAVs
3 Assessments of the Intelligence of UAVs Groups Based on the Test Results
4 Conclusion
References
Hierarchical Population Game Models of Machine Learning in Control Problems Under Conflict and Uncertainty
1 Introduction
2 An Unmanned Aerial Vehicle Neurostabilization Model Synthesis Problem Statement
2.1 A Synthesis Problem Statement of Stabilization System Parameters Neuroadaptation Laws to a UAV Trajectory
2.2 A Neuroadaptation Problem Statement of the UAV Stabilization System Parameter to Turbulent Atmospheric Disturbances
3 Hierarchical Population Game Model of Artificial Neural Network Parameters Multicriteria Synthesis
4 Computational Experiment
5 Conclusion
References
Measurement Systems to Identify the Simulation of the Selection Environment
Sensor Fusion and Measurement Errors
1 Introduction
2 Sensor Fusion and Measurement Error with a Small Number of Tests
3 Calibration with a Minimum of Grduation Points
4 Conclusions
References
Potential Accuracy of Measuring Spatial Coordinates Methods for Active Optical Mark in the SEMS
1 Introduction
2 Potential Accuracy in the Video System with Active RM
3 Image Processing Methods of Structured RM for Calculating Spatial Coordinates
3.1 Algorithms for Calculating RM Coordinates
3.2 Computer Modeling and Simulation
3.3 Simulation Results
4 Experiments and Results
5 Conclusion
References
Effect of Illumination on Errors in Estimation of a Rotor Blade Chord Value During Intelligent Video Endoscopy of a Closed Steam Turbine Cylinder
1 Introduction
2 Features of Procedures Using Video Probes When Determining the Value of the Rotor Blade on a Closed Cylinder of a Steam Turbine
2.1 The Structure of the Intelligent System for Non-contact Inspection and Its Functioning in Determining the Size of the Rotor Blade Chord
2.2 Relationship Between the Parameters of the Optical System and the Dimensions of the Rotor Blade Chord
3 Features of Calculating the Irradiance in the Image of Rotor Blade Edges
3.1 Calculation of Irradiance of Rotor Blade Edges When Using Several LEDs
3.2 Method of Calculating the Irradiance in the Image of Rotor Blade Edges
4 Experimental Studies of the Accuracy of Determining the Value of the Rotor Blade Chord in Static and Dynamic Modes with Adaptive Control of LED Radiance
4.1 Description of Test Benches and Experimental Techniques for Optimizing Irradiation
4.2 Experiment Results
5 Conclusion
References
Feature Extraction Enhancement Using Near-Infrared Light for Multiview Metallic Surface Image Fusion
1 Introduction
2 Intelligent Hard-to-Reach Surface Inspection System
2.1 Architecture and Operation Principle
2.2 Fields of View Coordination
2.3 Image Processing
3 Light Source Experimental Comparison
3.1 Video Device
3.2 Light Sources
3.3 Experiment Setup
3.4 Results
4 Conclusion
References
Robotic Polarimetry System Based on Image Sensors for Monitoring the Rheological Properties of Blood in Emergency Situations
1 Introduction
2 Analysis of the Polarimeters Principles
3 Experimental Research
4 Conclusion
References
Sensors and Auxiliary SEMS Systems
Autocollimation Sensor for High-Accuracy Line and Angular Localization of SEMS Blocks in Technogenic Environment
1 Introduction
2 Applied Optic-Electronic Positioning Systems for the Hexapod Mobile Platform
2.1 Three-Point Optic-Electronic System for Measuring the Relative Position of the Hexapod Mobile Platform
2.2 Autoreflection Optic-Electronic System for Measuring the Relative Position of the Hexapod Mobile Platform
3 Measuring Algorithm of Autoreflection System
3.1 Calculation of the Coordinates Images Formed by the Reflector
3.2 Calculation of the Reflecting Matrix
3.3 Images on CMOS Photo-Receiver
3.4 Solutions of the Main Equation
4 Comparison of Two Optic-Electronic Measuring Systems
5 Conclusions
References
SEMS Positioning of the Optoelectronic Camera of the Control Robot
1 Introduction
2 Control and Measuring Robots
3 Conclusions
References
SEMS Control of Low-Frequency Vibrations of Objects Based on Magnetic Levitation
1 Introduction
2 Theoretical Part
3 Conclusions
References
SEMS Positioning Solar Panels
1 Introduction
2 Analysis of Problems and Systems
3 Analysis of Positioning Systems
4 SEMS Positioning Solar Panels
5 Conclusions
References
Symbolic Control System for a Mobile Robotic Platform Based on SOAR Cognitive Architecture
1 Introduction
2 Basic Architecture of the System
3 World Description and Rule Processing
3.1 Main Processing Module
3.2 Filters
3.3 Rules and Environment Descriptions
4 Testing
5 Results and Discussion
References