Design of Fuzzy Supervisor-Based Adaptive Process Control Systems

Yordanova, Snejana

doi:10.1007/978-3-319-32168-4_1

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…It is preferred because it is precise (free of industrial noise and disturbances), fast and saf e for the industrial plant. GA optinisation is applied basically for TSK plant modelling and FLC parameters tunin g [6,7]. In order to ensu re mapping of the system nonlinearity and adaptive abilities it is important a correct fitness function to be defined and the data used to be rich in frequencies and magnitudes, i.e.…”

Section: Ga Optimisation Of the Parameters Of 2iso Flc With Disturbanmentioning

confidence: 99%

“…The model-free fuzzy logic controllers (FLC) [1,2] and the based on Takagi-Sugeno-Kang (TSK) plant model fuzzy parallel distributed compensation (PDC) [3,4 ] enable an unified design of various nonlinear controllers that ensure s table, high performance, energy-efficient and robust plant control. The TSK plant model, the FLC and the PDC parameters are tuned b y the hel p of off-line optimisation based mainly on genetic algorithm s (GA) and experimental or simulation data [5,6,7].…”

Section: Introductionmentioning

confidence: 99%

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Disturbance Compensation in Fuzzy Logic Control of Level in Carbonisation Column for Soda Production

Yordanova

Slavov

Prokopiev

2020

Wseas Transactions on Systems and Control

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The intelligent approaches emerge as leading techniques in providing of stable and high performance control of industrial plants with nonlinearity, model uncertainty, variables coupling and disturbances. In the present research a novel approach for the design of a nonlinear model-free fuzzy logic controller (FLC) with two inputs – the system error and the main measurable disturbance and a rule base for disturbance compensation is suggested. It is based on off-line parameter optimisation via genetic algorithms. The approach is applied for the development of a FLC for the control of the level of ammonia brine solution in a carbonisation column with compensation of the changes in the inflow pressure. The control algorithm is implemented in a general purpose industrial programmable logic controller in ”Solvay Sodi” SA – Devnya, Bulgaria. The FLC system with disturbance compensation outperforms in an increased dynamic accuracy the FLC with the system error as a single input even when linear feedforward disturbance compensation is added. The performance of all systems is assessed from the real time control and the simulations based on a derived TSK plant model.

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Section: Ga Optimisation Of the Parameters Of 2iso Flc With Disturbanmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Disturbance Compensation in Fuzzy Logic Control of Level in Carbonisation Column for Soda Production

Yordanova

Slavov

Prokopiev

2020

Wseas Transactions on Systems and Control

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“…Чтобы система работала как адаптивная самонастраивающаяся система управления, необходимо, чтобы она приходила в состояние устойчивого равновесия быстрее, чем при управлении объектом с минимально возможной инерционностью [10]. Для этого введем постоянную времени идеальной системы τ ИДЕАЛ (t), которая позволит системе отработать рассогласование с максимально необходимым быстродействием.…”

Section: (2)unclassified

Methodology of applying and implementing provisions of discrete recursive model for self-adjusting adaptive control systems for production purposes

Nikonov¹,

Nikonov²,

Bogatov³

2018

OSB

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в. а. нИкОнОв р. н. бОгатОв Омский государственный технический университет, г. Омск МетОдОлОгИя прИМененИя И реалИзацИИ пОлОженИй дИскретнОй рекурсИвнОй МОделИ для саМОнастраИваЮщИхся адаптИвных сИстеМ управленИя прОИзвОдственнОгО назначенИя показан подход, позволяющий строить самонастраивающуюся адаптивную систему управления. Интеллектуальный регулятор устанавливает оптимальные параметры системы в зависимости от режима работы, свойств объекта управления и дестабилизирующих факторов. для применения системы в составе комплексной асу производством предложено использовать концепцию «туманных вычислений в туманной сети». ключевые слова: адаптивная самонастраивающаяся система, алгоритм оценки, интеллектуальный регулятор, неопределенное уравнение, туманные вычисления.

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