Analysis of influence of technical features of a pid­controller implementation on the dynamics of automated control system

Stepanets, Oleksandr; Mariiash, Yurii

doi:10.15587/1729-4061.2018.132229

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…In practice, for industrial facilities, the use of even the first derivative is significantly complicated by the stochastic nature of the main signal, as well as the presence of interference. The effective use of the derivative to form a control effect requires the application of complex filtration algorithms [16]. Therefore, they are usually limited to the PI controller.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Selecting a method for the parametric adaptation of pi-controller in the control systems of boiler assemblies at thermal power stations with supercritical parameters

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et al. 2022

EEJET

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In the context of the growing share of renewable energy sources, the role of thermal power plants (TPPs) as means of balancing the daily power demand curve is increasing. During the day, the load on working units varies widely. Boiler assemblies of these power units undergo changes in their dynamic characteristics when the load changes. Control systems must, regardless of the mode of operation, meet requirements for the quality of operation. This paper has analyzed the latest research and advancements in the field of synthesis of adaptive and robust control systems for inertial contours of direct-flow boiler assemblies. It reports a model of the section of a water-steam flow path, which takes into consideration changes in the dynamic characteristics of the section when changing the load of the power unit. A model of the temperature control system for a boiler assembly has been built involving a tabular method for adjusting the PI-controller parameters. Alternative methods for the adaptation of parameters were proposed. The resulting expressions demonstrate a piecewise-linear approximation of parameter changes depending on the load. In addition, an adaptation unit based on fuzzy logic were suggested. Static characteristics of the adaptation units for PI-controller parameters depending on the load of the power unit were defined. Based on computer modeling, a comparative analysis of the quality indicators of the functioning of the designed control systems was carried out. A method for estimating the stability of systems with adaptation of adjustment parameters was proposed. Based on the static characteristics of the pairs of settings of the PI-controller and the parameters of the control object for each load value at the predefined discreteness, stability reserves were calculated for gain and phase. The results reported here indicate the advantages of a control system with the adaptation of controller parameters based on piecewise-linear dependences

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Selecting a method for the parametric adaptation of pi-controller in the control systems of boiler assemblies at thermal power stations with supercritical parameters

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Штіфзон

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et al. 2022

EEJET

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“…The evolution of the MPC and the overview of its industrial applications are described in [3]. Although 90 % of all controllers use PID-laws [4], MPC has quickly became famous, particularly in the chemical process industries due to simplicity of the algorithm and to the use of the impulse or step response model.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control Toolbox Design for Nonstationary Process

Stepanets

Mariiash

2021

KPI SN

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Background. Model predictive control (MPC) approach is the basic feedback scheme, combined with high adaptive properties, which determines its successful use in the practice of design and operation of control systems. These advantages allow managing multidimensional objects with a complex structure, including nonlinearity, optimizing processes in real time within the constraints on controlled and managed variables, taking into account uncertainties in the task of objects and perturbations. Objective. The purpose of the paper is to design and analyse control system of carbon monoxide oxidation in the convector cavity based on MPC with linear-quadratic cost functional with constraint. Methods. The design of MPC is based on mathematical model of an object (relatively simple). At the current step, the prediction of object dynamic response on some final period of time (prediction horizon) is carried out; control optimization is performed, the purpose of which is to approximate the control variables of the prediction model to the corresponding setpoint on the predict horizon. The found optimal control is applied and measurement of an actual state of object at the end of a step is carried out. The prediction horizon is shifted one step further, and this algorithm are repeated. Results. The results of modeling the automatic control system show that the MPC approach provides maintenance of carbon dioxide content when changing oxygen consumption and overshoot caused by introduction bulk does not exceed 0.6 % that meets the technological requirements of the process. Conclusions. A fuse of the MPC and the quadratic functional given the constraints on the input signals is proposed. The problems of control degree of carbon oxidation in the convector cavity include non-stationarity, so the use of classical control methods is difficult. The MPC approach minimizes the cost function that characterizes the quality of the process. The predicted behaviour of a dynamic system will usually differ from its actual motion. The obtained quadratic functional is optimized to find the optimal control of degree of CO oxidation to CO2.

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“…The intensification and complication of technological processes, increasing the capacity of units and increasing the quality requirements of finished products make it impossible to manage the units without improving the structure of automatic control systems. Despite the significant popularity of the classical theory of control with PID-controllers [9], the main part of the research conducted today is the use of process optimization [1] and improvement of predictive models [2].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control Application in the Energy Saving Technology of Basic Oxygen Furnace

Stepanets

Mariiash

2020

IAPGOS

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The fulfilment of the condition for the simultaneous achievement of the desired chemical composition and temperature of the metal is ensured by controlling the oxygen consumption and the position of the oxygen impeller lance. The method for solving Model Predictive Control with quadratic functionality in the presence of constraints is given. Implementation of the described solutions will contribute to increasing the proportion of scrap and reducing the melting period without changing of technological process.

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Analysis of influence of technical features of a pidcontroller implementation on the dynamics of automated control system

Cited by 3 publications

References 9 publications

Selecting a method for the parametric adaptation of pi-controller in the control systems of boiler assemblies at thermal power stations with supercritical parameters

Selecting a method for the parametric adaptation of pi-controller in the control systems of boiler assemblies at thermal power stations with supercritical parameters

Model Predictive Control Toolbox Design for Nonstationary Process

Model Predictive Control Application in the Energy Saving Technology of Basic Oxygen Furnace

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Analysis of influence of technical features of a pid­controller implementation on the dynamics of automated control system

Cited by 3 publications

References 9 publications

Selecting a method for the parametric adaptation of pi-controller in the control systems of boiler assemblies at thermal power stations with supercritical parameters

Selecting a method for the parametric adaptation of pi-controller in the control systems of boiler assemblies at thermal power stations with supercritical parameters

Model Predictive Control Toolbox Design for Nonstationary Process

Model Predictive Control Application in the Energy Saving Technology of Basic Oxygen Furnace

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Analysis of influence of technical features of a pidcontroller implementation on the dynamics of automated control system