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Full-Text Articles in Engineering
Strategy For Predictive Control Of The Rectification Process Based On A Model Controller With A Given Forecast, Ildar Rafkatovich Sultanov
Strategy For Predictive Control Of The Rectification Process Based On A Model Controller With A Given Forecast, Ildar Rafkatovich Sultanov
Chemical Technology, Control and Management
A method is being developed to optimize the generated controls for the multicomponent distillation process with prediction, based on predictive data with a moving horizon. The difference between this method and the classical modeling approach, in which the percentage of the degree of opening of valves installed on the output streams of the column is used as control actions, is that control occurs on the feedback principle. The proposed method is based on the use of a dynamic process model to optimize control actions in real time in order to achieve certain production targets. The essence of the MPC approach …
Synthesize A Neural Network Parameter Optimizer For An Adaptive Pid Controller, Nashvandova Gulruxsor Murot Qizi
Synthesize A Neural Network Parameter Optimizer For An Adaptive Pid Controller, Nashvandova Gulruxsor Murot Qizi
Chemical Technology, Control and Management
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters superstructuring. In the paper, the questions of optimization of PID-regulator parameters with application of methods of neural network technology are considered. A methodology for selecting the architecture of neural network optimizer designed to determine the tuned parameters of PID regulator is proposed. The algorithm of training of the neural network, with the set on the basis of the method of inverse gradient propagation is offered. The proposed improved PID-neural regulator allowed to provide stabilization of neural network operation and its trainability in the control loop …
Adaptation Algorithm For Self-Tuning Of Parameters Of Models Of Multi-Stage Flotation Processes, Nilufar Sharifzhanova, Maksadhan Yakubov, Francesco Gregoretti
Adaptation Algorithm For Self-Tuning Of Parameters Of Models Of Multi-Stage Flotation Processes, Nilufar Sharifzhanova, Maksadhan Yakubov, Francesco Gregoretti
Technical science and innovation
Modern methods for solving problems of planning the execution of batches of tasks in multi-stage systems are characterized by the presence of restrictions on their dimensionality, the impossibility of guaranteed obtaining better results in comparison with fixed packages for different values of the input parameters of the problem. In the article, the author solved the problem of optimizing the composition of job packages running in multi-stage systems using the branch and bound method. Research has been carried out on various ways to form package execution orders tasks in multi-stage systems (heuristic rules for ordering packages tasks in the sequence of …
Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems, Isamiddin Khakimovich Siddikov, Oksana Vitalevna Porubay
Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems, Isamiddin Khakimovich Siddikov, Oksana Vitalevna Porubay
Chemical Technology, Control and Management
The paper presents the possibilities of using evolutionary algorithms to solve the problem of optimizing the operation modes of electric power facilities in the presence of constraints in the form of inequalities and equalities. The limits of constraints have a variable character, depending on the generated and consumed energy. Existing methods used for the optimization of modes are based on general principles and approaches to optimization, which usually adapt to the specifics of the problem. In electric power facilities, optimization problems have some peculiarities, among which is the presence of multiple constraints applied to both independent and dependent variables. Many …
Optimization Of Identification Under The Conditions Of Low Reliability Of Information And Parametric Uncertainty Of Non-Stationary Objects, Isroil Ibragimovich Jumanov, Sunatillo Maxmudovich Kholmonov
Optimization Of Identification Under The Conditions Of Low Reliability Of Information And Parametric Uncertainty Of Non-Stationary Objects, Isroil Ibragimovich Jumanov, Sunatillo Maxmudovich Kholmonov
Chemical Technology, Control and Management
Constructive approaches, principles, and methods of optimization of identification in conditions of a priori insufficiency, parametric uncertainty, nonstationarity, low accuracy of data processing have been developed based on the use of natural information redundancy of random time series (RTS) and nonstationary objects in control systems of industrial and technological complexes. A technique has been developed for the accelerated computation of statistical parameters with insufficient statistics. The mechanisms of threshold control of values of elements of RTS, control of increments of the sequence of elements of RTS, inaccuracies of predictions for various models of identification of RTS are proposed. Received general …
Optimization Of The Process Of Functioning Of Multiservice Networks ., A.R Marakhimov, G.B Sherboboyeva
Optimization Of The Process Of Functioning Of Multiservice Networks ., A.R Marakhimov, G.B Sherboboyeva
Chemical Technology, Control and Management
In order to optimize the delay time of information flows in the nodes, multiservice networks propose the application of the theory of fuzzy sets, with the help of which models are developed for calculating the delay time, taking into account the inaccuracy of time, simple, correct operation and aging of information. A fuzzy model for calculating the average message delay time through communication nodes in multiservice networks is given, with each channel of switching nodes being modeled as a queuing network. A single-criterion problem of the optimal distribution of information flows over the channels of switching nodes with ill-defined data …
Optimization Of Data Processing Based On Accounting For Factors Of External Expenses, Regulation And Correction Of Variables ., I.I Jumanov, S.M Xolmonov
Optimization Of Data Processing Based On Accounting For Factors Of External Expenses, Regulation And Correction Of Variables ., I.I Jumanov, S.M Xolmonov
Chemical Technology, Control and Management
Methods and simplified computational schemes for optimizing data processing for systems operating in conditions of limited a priori information, changes in the characteristics of external influences, uncertainty of parameters have been developed. To describe a non-stationary object, non-linear identification models are considered, constraints, input conditions for obtaining possible values of output variables are defined. An approach aimed at using identification technologies based on generalization of capabilities of dynamic models, neural networks (NN), mechanisms for regulating variable computing schemes of structural network components, as well as learning algorithms of the NN is proposed. A generalized algorithm for learning NN based on …
Optimization Of Forecast Of Non-Stationary Objects Based On Fuzzy Model Adapters At External Information Influence., O.I Djumanov, S.M Kholmonov
Optimization Of Forecast Of Non-Stationary Objects Based On Fuzzy Model Adapters At External Information Influence., O.I Djumanov, S.M Kholmonov
Chemical Technology, Control and Management
The tasks of taking into account the sensitivity of fuzzy modeling based on the mechanisms for determining the range of elements of randomly chosen time series and the correction of the parameters of the functions of the accessories of linguistic variables, the use of the data property and the specific features of objects, the database and the knowledge base are solved. Computational schemes of dynamic identification based on polynomial models, nonlinear filters with fuzzy variable adapters are constructed. The effectiveness of generalized algorithms of fuzzy identification of randomly time series (RTS) is proved by comparison with the values of the …
Methods Of Optimizing Data Processing Based On Fuzzy Correction Of Time Series Elements And Variable Identification Models, I.I Jumanov, Z.T Bekmurodov
Methods Of Optimizing Data Processing Based On Fuzzy Correction Of Time Series Elements And Variable Identification Models, I.I Jumanov, Z.T Bekmurodov
Chemical Technology, Control and Management
The problem of optimal identification and processing of random time series (RTS) based on the use of the property of statistical, dynamic, fuzzy models is formulated. A method for the qualitative identification of RTS is proposed, including algorithms for fuzzy equations, logical conclusions, taking into account the effects of environmental factors and the nonstationarity of processes. A generalized algorithm for identifying the RTS with regulation and correction of variables values based on fuzzy logic rules, ways of searching for extrema by norms and -norms is developed. Designed tools for optimal data processing by determining the appropriate model; parametric and structural …
Optimization Of The Method Of Synthesis Of Thermoplastic Copolymers Based On Acrylic And Vinyl Monomers For Shoe Suspended Materials, A.T Ibragimov, A.Z Mamatov, D.M Maxmanov
Optimization Of The Method Of Synthesis Of Thermoplastic Copolymers Based On Acrylic And Vinyl Monomers For Shoe Suspended Materials, A.T Ibragimov, A.Z Mamatov, D.M Maxmanov
Chemical Technology, Control and Management
In order to optimize the synthesis of thermoplastic copolymers for shoe sole materials, a mathematical model of the process involving acrylic and vinyl monomers has been developed. The kinetic parameters of copolymerization at the optimum content of initial monomers and the thermal processing regime are investigated. The regressive equations of the synthesis process, which takes place in the heterogeneous phase with incoming factors and outgoing copolymerization parameters, are calculated. The comparative parameters of optimization of the synthesis process, as well as the molecular characteristics and structure of copolymers with the optimal composition, are estimated mathematically by the data obtained.
Process Modeling Of Optimum Mixing Of Cyanic Solutions With Use Of Intellectual Systems Of Measurement On A Basis To A Fuzzy Logic, O.A Jumayev, A.A Akhmatov, G.B Makhmudov
Process Modeling Of Optimum Mixing Of Cyanic Solutions With Use Of Intellectual Systems Of Measurement On A Basis To A Fuzzy Logic, O.A Jumayev, A.A Akhmatov, G.B Makhmudov
Chemical Technology, Control and Management
Analyzes the principles of the development of microprocessor-based intelligent measurement and control systems that operate based on fuzzy logic rules. Using the possibilities of microprocessor intelligent systems, methods of automatic adjustment of the selected regulator are based on the dynamic model of the object, using the example of the process of optimal displacement of cyanide solutions.