THE ROLE OF ADAPTIVE CONTROL SYSTEMS AND TAPE TENSIONING SYSTEMS IN INDUSTRY
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Abstract
In this paper, algorithms for synthesizing an adaptive tape pulling system based on intellectual control are developed and tested. In the study, the dynamic behavior of the tape pulling process is mathematically modeled and the intelligent control system is applied.
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THE ROLE OF ADAPTIVE CONTROL SYSTEMS AND TAPE TENSIONING SYSTEMS IN INDUSTRY
Tashkent State Technical University named after Islam Karimov.
Direction of Intellectual Engineering Systems.
t.f.f.d, head of department Sevinov Jasur Usmonovich
Master's student:Akramova Madinabonu Akmal qizi
Abstract: In this paper, algorithms for synthesizing an adaptive tape pulling system based on intellectual control are developed and tested. In the study, the dynamic behavior of the tape pulling process is mathematically modeled and the intelligent control system is applied.
Keywords: Intellectual control base, Adaptive control, Tape pulling system, Fuzzy logic, Neural networks, Algorithmic evolution, Real-time control, Synthesis algorithms.
Introduction: In modern industry, tape tensioning systems are widely used as a key part of many processes. For example, in industries such as printing, packaging, food industry and automated assembly lines, the quality and stability of the tape tensioning process are of great importance. Traditional control systems often have difficulty adapting to changes in the tape tensioning process, such as load changes, tape elasticity or external influences. Therefore, adaptive control systems are receiving special attention in research. They increase the efficiency of the system by self-learning and adjusting their parameters in real time.
Intellect: An intellectual control base (IBB) is a system that makes control decisions based on knowledge, rules and experience about the system state and environment. IBB allows the system to operate effectively under conditions of high flexibility, uncertainty and complexity. This approach
When IBB is applied to a tape tensioning system, it monitors, analyzes and generates an optimal control signal in real time. This helps to quickly respond to uneven tape tension, unexpected loads, or mechanical changes.
Object and purpose of the research
In this article, algorithms for synthesizing an adaptive tape tensioning system based on intellectual control are developed and tested. The goal is to make the system superior to traditional control methods and have high flexibility and efficiency.
Mode of the tape tensioning system
The tape tensioning system is a mechanical and dynamic element
The tape tensioning process is as
here: • mmm- represents the mass of the system,
• ccc— damping coefficient,
• kkk- elastic coefficients,
• xxx— tape position,
• F(t)F(t)F ( t )— force applied to pull the tape.
When determining the system parameters, external conditions (e.g. temperature, humidity), physical properties of the tape and loading conditions are taken into account.
Architecture of the Intellectual Control Base
An Intellectual Control Base (ICB) is a control system based on expert knowledge, rules, and sensor data. The ICB consists of the following components:
• Knowledge Base: A set of expert knowledge and rules about the system.
• Database: Real-time data from sensors.
• Rules Engine: The rule engine
• Interface: The interface between the system user and the control mechanism.
In the tape pulling system, the ICB evaluates the current state of the tape, selects appropriate rules for controlling the system, and optimizes the parameters
Development of adaptive algorithms
Adaptive control
• Fuzzy logic: Development of control rules taking into account uncertainty and variability.
• Neural networks: For studying and predicting complex system behavior.
• Evolutionary algorithms: Search for and improve optimal control parameters.
Conclusion: In this article, algorithms for synthesizing an adaptive tape tensioning system based on intellectual control were developed and their effectiveness was demonstrated through modeling and testing.Compared to traditional control methods, the proposed algorithms significantly reduced oscillations and delays in the system, which serves to increase the efficiency of production processes and product quality. With the help of the intellectual control base, the state of the system is constantly monitored and real-time decision-making ensures a quick and effective response to uneven tape tensioning and changes in the external environment.
At the same time, during the study, some limitations such as high computational load were identified.
In general, it was proved that the algorithms for synthesizing an adaptive tape tensioning system based on intellectual control are of great importance in improving the quality and stability of production processes and have great potential for widespread use in industry.
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