Parallel distributed compensation for improvement of level control in carbonization column for soda production

Yordanova, Snejana; Slavov, Milen; Gueorguiev, Branimir

doi:10.1016/j.conengprac.2017.10.003

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…Here the GA optim isation is first applied t o objectively derive a m ore precise modified TSK plant model than the TSK plant model in [ 9]. The new TSK plant model recognizes the location of the current operation poi nt with respect to expert defined linearization zones based on two inputs -the control action u and the main distur bance -the inflow pressure P. It captures the plant nonlinearity from the experimental data used.…”

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

confidence: 99%

“…The new TSK plant model recognizes the location of the current operation poi nt with respect to expert defined linearization zones based on two inputs -the control action u and the main distur bance -the inflow pressure P. It captures the plant nonlinearity from the experimental data used. The GA modelling procedure is similar to the used in [4,9].…”

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

confidence: 99%

“…-the fitness function (1); -the ranges for the unknown parameters; -the plant inputs and out put from the industrial PLC-PI real time level control which are used in the TSK modelling, and from the industrial PLC-PDC real time level control de signed in [ 9] which are used in the model validation.…”

Section: Sugeno Modelmentioning

confidence: 99%

“…The plant is nonlinear -the linear plant models for operation at various re ferences and m odesoperation or washing, h ave different param eters. The reference for the level, however, changes as it depends on the solution prod uced and its distribution among several operating in parallel columns [9]. The plant is also multivariable -the level in one CCl is coupled with the l evels in all columns via the common source of feeding of all CCl with ammonia brine solution.…”

Section: Introductionmentioning

confidence: 99%

“…The real time experiments, however, are for the control of plant models in a laboratory environment free of industrial disturbances and measurement noise. A TSK plant model-based PDC for the control of the level in a CCl in "Sol vay Sodi" SA in the t own of Devnya, Bulgaria is developed in [9]. It is programmed in t he existing industrial general purpose PLC [17] which has no FLC support facilities.…”

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

confidence: 99%

Section: Sugeno Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations