Parametric optimisation of resistance temperature detector design using validated virtual prototyping approach

Todorov, Georgi; Kamberov, Konstantin; Ivanov, Tsvetozar

doi:10.1016/j.csite.2021.101302

Cited by 8 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The implementation of controller is realized through real-time Simulink ® program which is presented in Fig. 8 [10]. The main block of the model structure is a Single Precision Controller which is a subsystem for representation of the multivariable PID after GA-tuning.…”

Section: Comparison Of Simulation and Experimental Resultsmentioning

confidence: 99%

“…where the weighting coefficient 0.001 R  is experimentally chosen in order to obtain acceptable form of control signal. The unconstrained optimization problem (8) can be solved by various classical and modern methods [10]. In case of objective functions with several local minima's a methods for global optimization such as firefly optimization, simulated annealing, pattern search and genetic algorithm are preferred.…”

Section: Identified Modelmentioning

confidence: 99%

See 1 more Smart Citation

GA-tuning of Multivariable PID Controller for Electrohydraulic Load-Sensing Servo System

et al. 2021

View full text Add to dashboard Cite

The main purpose of this article is to present the design, optimal setting and experimental study of a multivariable PID controller supposed for electrohydraulic power steering system with load-sensing function. The set of the controller is performed through an optimization procedure based on a genetic algorithm. The PID controller is embedded into a microcontroller for mobile machinery used in laboratory test rig for investigation of an electrohydraulic servo steering system. Results obtained in conditions of physical experiment and numerical simulation with the optimally tuned PID controller are presented. An analysis of the control performance, as well as some features of the used method for setting the PID controller.

show abstract

Section: Comparison Of Simulation and Experimental Resultsmentioning

confidence: 99%

Section: Identified Modelmentioning

confidence: 99%

GA-tuning of Multivariable PID Controller for Electrohydraulic Load-Sensing Servo System

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In order to develop a new research method for temperature detectors, Todorov designed a virtual prototype of the temperature detector and conducted method validation on the virtual prototype [1]. Bushuev described a virtual prototype of a planetary gear hub motor, and based on this, established a joint simulation model of a brushless DC motor control system with PI controller, pulse width modulation (PWM), and Hall effect sensor fault tolerance algorithm.…”

Section: Related Workmentioning

confidence: 99%

Virtual Prototyping Modeling and Fault Diagnosis Technology for Mechanical and Electrical Equipment

Li¹,

Li²,

Yu³

et al. 2023

Journal of Computers

View full text Add to dashboard Cite

<p>In order to study common faults in motors and motor transmission systems, this article uses a 5kW motor system as an experimental platform to establish a virtual prototype model. The prototype model includes the following five parts: motor unit, 6-degree of freedom loading mechanism, transmission gearbox, loading spindle, and AC excitation converter. Then, the BP neural network is used to identify typical faults in the virtual prototype. The final recognition time for vibration changes, temperature changes, and current disturbances does not exceed 45 seconds, with an average accuracy rate of over 99%. Overall, the algorithm can accurately diagnose typical faults in a relatively short time.</p> <p> </p>

show abstract

“…Although RTM technology and its processes are well known to process engineers, there are still various difficulties in creating large parts. With the development of computer technologies and mathematical models, manufacturers have the opportunity to analyze and optimize processes in advance by creating virtual prototypes to be investigated with specialized software products [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], thereby reducing the potential risks of defective products and financial losses.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Step Approach for Analyzing the Number of Polymer Injection Molding Gate Spots and Their Position in T-RTM Technology

Bankov,

Todorov,

Sofronov

et al. 2024

ETR

View full text Add to dashboard Cite

The purpose of this study is to present a multi-step approach for building a virtual analysis supporting the determination of the number and position of the injection molding gate spots in Resin Transfer Molding (RTM) and the relatively new Thermoplastic Resin Transfer Molding (T-RTM) technologies. The methodology provides an opportunity to determine the behavior of the fluid flow based on the location of the inlets, as well as potential problems and defects.

show abstract

Parametric optimisation of resistance temperature detector design using validated virtual prototyping approach

Cited by 8 publications

References 2 publications

GA-tuning of Multivariable PID Controller for Electrohydraulic Load-Sensing Servo System

GA-tuning of Multivariable PID Controller for Electrohydraulic Load-Sensing Servo System

Virtual Prototyping Modeling and Fault Diagnosis Technology for Mechanical and Electrical Equipment

A Multi-Step Approach for Analyzing the Number of Polymer Injection Molding Gate Spots and Their Position in T-RTM Technology

Contact Info

Product

Resources

About