Computer-aided design of the fuzzy control system using the genetic algorithm

Meshcheryakov, V. A.; Denisova, L. A.

doi:10.1109/dynamics.2016.7819000

Cited by 5 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this paper, the transfer function corresponding to the correction control is introduced to simulate the real-time correction effect, in order to feedback the fitness value under different initial parameters to improve the adaptability of the GA. The optimization process of fuzzy rules using GA requires the introduction of fuzzy algorithms in addition to the incorporation of transfer functions and PID control algorithms, and the continuous refreshing of fuzzy rules based on the genetic information of different individuals of the population [24]. Fig.…”

Section: A Optimization Scheme Designmentioning

confidence: 99%

Research on the Control Strategy of Battery Roller Press Deflection Device by Introducing Genetic Algorithm to Optimize Integral Separation PID

et al. 2022

View full text Add to dashboard Cite

At the site of continuous rolling of lithium battery electrode, most of its correction units use traditional PID control algorithms, coupled with the complex structure of the rolling equipment and the large number of control system actuators, result in the deviation of the pole piece position being controlled within 10mm only. In order to avoid the undesirable industrial problems caused by untimely correction and insufficient control accuracy, this paper proposes a control strategy for lithium battery roll press deflection device with the introduction of GA(Genetic Algorithm) optimized integral separation PID. For the problems of poor self-adaptive capability of deflection control and interference with equipment and environment during the rolling process. Analyze the causes of runout of the pole piece and the structure of the deflection correction system, establish a mathematical model and an integral separation fuzzy PID controller to realize the deflection control. Optimize the key parameters of the controller using GA to improve the control accuracy and performance of the deflection control. Simulations and experiments show that the deviation control strategy proposed in this paper can reduce the position deviation of the polar strip to within 4mm, which can effectively improve the deviation correction accuracy and the anti-interference capability of equipment operation, and also provide a good solution for the deviation control of other large and complex mechanical equipment.

show abstract

Section: A Optimization Scheme Designmentioning

confidence: 99%

Research on the Control Strategy of Battery Roller Press Deflection Device by Introducing Genetic Algorithm to Optimize Integral Separation PID

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Проектирование экспертной системы реализуется на базе математического аппарата нечеткой логики [7,8], используемого для построения набора продукционных правил, написанных на естественном языке качественных понятий, что обусловлено трудностью формализации диагностического процесса. Особые свойства нечеткой системы позволяют не только учитывать неопределенность, но и формировать собственные рассуждения на основе опыта эксперта -специалиста в области обработки биомедицинской информации.…”

unclassified

Early disease detection expert system development: primary machining software applications and dependences

SEROBABOV¹,

Chebanenko²,

Denisova³

et al. 2018

OSB

View full text Add to dashboard Cite

Омский государственный технический университет, г. Омск 2 Омский государственный медицинский университет, г. Омск раЗраБотКа эКспЕртНой систЕмы раННЕй ДиагНостиКи ЗаБолЕВаНий: программНыЕ срЕДстВа пЕрВичНой оБраБотКи и ВыяВлЕНиЕ ЗаВисимостЕй Рассмотрены инструментальные средства описательной статистики для обработки биомедицинской информации данных клинических исследований болезней печени. Разработана структура программного комплекса первичной обработки данных, характеризующих состояние пациентов, включая результаты лабораторных исследований, информацию о сопутствующих заболеваниях, а также о физиологических параметрах пациентов. Получена карта взаимосвязей результатов исследования состояния пациентов, позволяющая выявлять зависимости между показателями болезней печени для разработки экспертной системы ранней диагностики заболеваний. Ключевые слова: описательная статистика, экспертная система, ранняя диагностика, медицинская информация, корреляционный анализ.

show abstract

Development of Self-Tuning Control System with Fuzzy Compensation of Steady-State Error

Denisova

Meshcheryakov

2018

2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

View full text Add to dashboard Cite

Computer-aided design of the fuzzy control system using the genetic algorithm

Cited by 5 publications

References 13 publications

Research on the Control Strategy of Battery Roller Press Deflection Device by Introducing Genetic Algorithm to Optimize Integral Separation PID

Research on the Control Strategy of Battery Roller Press Deflection Device by Introducing Genetic Algorithm to Optimize Integral Separation PID

Early disease detection expert system development: primary machining software applications and dependences

Development of Self-Tuning Control System with Fuzzy Compensation of Steady-State Error

Contact Info

Product

Resources

About