scholarly journals AUTOMATIC CONTROL OF PARAMETERS OF A NON-STATIONARY OBJECT WITH CROSS LINKS

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
A. Pavlov
Keyword(s):  
Neural Network ◽  
Automatic Control ◽  
Simulation Model ◽  
Limited Range ◽  
Normal Operation ◽  
Object Model ◽  
Stationary Object ◽  
Quality Of Control ◽  
Cross Links

Many objects automatic control unsteady. This is manifested in the change of their parameters. Therefore, periodically adjust the required parameters of the controller. This work is usually carried out rarely. For a long time, regulators are working with is not the optimal settings. The consequence of this is the low quality of many industrial control systems. The solution problem is the use of robust controllers. ACS with traditional PI and PID controllers have a very limited range of normal operation modes due to the appearance of parametric disturbances due to changes in the characteristics of the automated unit and changes in the load on it. The situation is different when using in the architecture of artificial neural network controllers. It is known that when training a neural network, the adaptation procedure is often used. This makes it possible to greatly expand the area of normal operating modes of ACS with neural automatic regulators in comparison with traditional linear regulators. It is also possible to significantly improve the quality of control (especially for a non-stationary multidimensional object), provided that when designing the ACS at the stage of its simulation in the model of the regulatory object model, an adequate simulation model of the executive device. It is also possible to significantly improve the quality of control (especially for a non-stationary multidimensional regulatory object model, an adequate simulation model of the executive device. Especially actual implementation of all these requirements in the application of electric actuators. This article fully complies with these requirements. This is what makes it possible to provide a guaranteed quality of control in non-stationary ACS with multidimensional objects and cross-links between control channels. The possibility of using a known hybrid automatic regulator to stabilize the parameters of a two-channel non-stationary object with two cross-linked. A simulation control system under the action of the object coordinate and parametric perturbations. The simulation showed that the quality control is not reduced

Experience with the Relay Procedure for Tuning Controllers in Automatic Control of Chlorination

1993 ◽  
Vol 28 (11-12) ◽  
pp. 257-261
Author(s):  
M. Truett Garrett ◽  
Zaki Ahmad ◽  
Shelly Young
Keyword(s):  
Wastewater Treatment ◽  
Automatic Control ◽  
Time Constant ◽  
Wastewater Treatment Plants ◽  
Relay Feedback ◽  
Quality Of Control ◽  
Incomplete Mixing ◽  
Long Time ◽  
Chlorine Demand

The recent requirements by U.S.E.P.A. for dechlorination and biomonitoring have increased the importance of automatic control of effluent chlorination in wastewater treatment plants. Difficulties with the Ziegler-Nichols controller tuning procedure were reported at the Kyoto Workshop, 1990. Problems are caused by the noise of incomplete mixing, a long time constant, and the disturbances of changing flow and chlorine demand. The Astrom-Hagglund relay feedback procedure provides acceptable control while data is logged to determine the controller constants. Experiences in using the procedure in existing facilities (not redesigning the mixing point) and the quality of control are presented.

Fuzzy Control System of Titanium Dioxide Hydrolysis Process

2011 ◽  
Vol 128-129 ◽  
pp. 882-885
Author(s):  
Rong Fu Zhou ◽  
Ding Xin Shuai ◽  
Yu Tang ◽  
Xue Tong Zhang
Keyword(s):  
Titanium Dioxide ◽  
Automatic Control ◽  
Fuzzy Theory ◽  
Hydrolysis Product ◽  
Heating System ◽  
Normal Operation ◽  
Operation Process ◽  
Hydrolysis Process ◽  
Hydrolysis Temperature

Hydrolysis process is the key part of sulfuric acid method’s production technology of titanium dioxide, it is also the most rigorous part of the process control, and precipitate out the white hydration precipitation TiO2 from the mother liquor, and separate from other soluble metal sundry ions, further purify the TiO2. The quality of hydrolysis product not only affects the normal operation of the follow-up, but also affects the quality of the final product directly. This article do some study and design to the hydrolysis automatic control, use computer，DCS and PLC control the hydrolysis operation process, temperature control, steam heating system, That means comprised monitoring station by the DCS，CRT, mouse and keyboard replace the simulates panel and operator, and use the fuzzy theory control the hydrolysis temperature rise process, improve the accuracy and precision of the operating, at the same time, reduce the labor intensity of the workers, realize the automatic control of the hydrolysis process, stabilize and improve the product quality effectively

scholarly journals Adaptive control systems for marine thermal installations

2021 ◽  
pp. 201-205
Author(s):  
С.А. Гордин ◽  
И.В. Зайченко ◽  
К.Д. Хряпенко ◽  
В.В. Бажеряну
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Control System ◽  
Control Systems ◽  
Pid Controller ◽  
Heat Supply System ◽  
Heating System ◽  
Thermal Loads ◽  
Quality Of Control

В статье рассмотрен вопрос повышения точности и качества управления приводом сетевых насосов в составе судовых тепловых установок в системе отопления судна путем применения адаптивной системы автоматического управления. При использовании классических систем управления на основе ПИД-регуляторов для управления мощностью электродвигателя по критерию обеспечения заданного давления в системе теплоснабжения в условиях резкопеременных тепловых нагрузок могут возникать ситуации разрегулирования системы вследствии возникновения дополнительного давления в тепловой установке при термическом расширении теплоносителя. Для обеспечения надежности и безаварийности работы судовых тепловых установок при резкоперменных нагрузках авторами рассматривается возможность использования для управления мощностью электропривода адаптивной системы управления. В статье рассмотрена схема управления с адаптацией коэффициентов ПИД-регулятора на базе нейронной сети (нейросетевой оптимизатор). Нейросетевой оптимизатор был применен как надстройка над ПИД-регулятором в схеме управления мощностью сетевого насоса в составе судовой тепловой установки. Рассмотрены зависимости характеристик систем управления от структуры и параметров модифицированных критериев точности и качества управления. Адаптация параметров регулирования позволяет обеспечить достижение желаемых параметров с меньшими затратами мощности при сохранении уровня надежности и исключить разрегулирование системы управления при резкопеременных тепловых нагрузках. The article discusses the issue of improving the accuracy and quality of control of the drive of network pumps as part of ship thermal installations in the ship's heating system by using an adaptive automatic control system. When using classical control systems based on PID regulators to control the power of the electric motor according to the criterion of providing a given pressure in the heat supply system under conditions of sharply varying thermal loads, situations of system maladjustment may occur due to the appearance of additional pressure in the thermal installation during thermal expansion of the coolant. To ensure the reliability and trouble-free operation of ship thermal installations under abruptly variable loads, the authors consider the possibility of using an adaptive control system to control the power of an electric drive. The article describes a control scheme with adaptation of the PID controller coefficients based on a neural network (neural network optimizer). The neural network optimizer was used as a superstructure over the PID controller in the power control circuit of a network pump as part of a ship's thermal installation. The dependences of the characteristics of control systems on the structure and parameters of the modified criteria for the accuracy and quality of control are considered. Adaptation of control parameters allows achieving the desired parameters with lower power consumption while maintaining the level of reliability and eliminating deregulation of the control system at abruptly varying thermal loads.

scholarly journals DEVELOPMENT OF STRUCTURAL SCHEMES AND OPERATION ALGORITHMS FOR THE AUTOMATIC CONTROL SYSTEM OF A MULTIFUNCTIONAL ENERGY COMPLEX

2021 ◽  
Vol 445 (1) ◽  
pp. 82-90
Author(s):  
G. Kalimbetov ◽  
A. Toigozhinovа ◽  
W. Wojcik
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Control Systems ◽  
Dynamic Control ◽  
Control Object ◽  
Control Device ◽  
Automatic Control Systems ◽  
Operating Modes ◽  
Quality Of Control

Among the promising automatic control systems, logical-dynamic control systems that change both the structure and parameters of the control device using switches formed on the basis of a certain logical algorithm have proven themselves well. The use of logical algorithms as part of MACS subsystems for complex technical objects makes it possible to increase the static and dynamic accuracy of control due to purposeful qualitative and quantitative changes in the control signal. This approach will give the control system fundamentally new properties that allow to fully take into account the nature and dynamics of the movement of the control object. When developing existing logical control algorithms, the issues of their application for multi-connected and multifunctional objects control were not considered. Common to existing logical algorithms is that when switching the structure and/or changing parameters, only the dynamics of its own subsystem is taken into account, which is unacceptable in the case of multi-connected dynamic object control, since cross-links have a significant impact on the quality of control. Thus, the problem of synthesis of logical algorithms for multi-connected objects control is an actual theoretical and applied problem. Despite the considerable amount of research conducted in this area, the application of logical algorithms for complex multidimensional objects control is not sufficiently considered, and there is no unified design concept for this type of MACS, taking into account the required quality of functioning in various operating modes. In this regard, there is a need to synthesize algorithms for logical multi-connected control that form control signals in order to coordinate the actions of all separate MACS subsystems in accordance with new external conditions and operating modes. The problem under consideration determined the purpose of this work and the research objectives.

scholarly journals Relative control of an underactuated spacecraft using reinforcement learning

2020 ◽  
Vol 2020 (4) ◽  
pp. 43-54
Author(s):  
S.V. Khoroshylov ◽  
◽  
M.O. Redka ◽  
Keyword(s):  
Neural Network ◽  
Control System ◽  
Reinforcement Learning ◽  
Control Theory ◽  
Learning Algorithm ◽  
Control Algorithms ◽  
Iteration Algorithm ◽  
Quality Of Control ◽  
Control Actions

The aim of the article is to approximate optimal relative control of an underactuated spacecraft using reinforcement learning and to study the influence of various factors on the quality of such a solution. In the course of this study, methods of theoretical mechanics, control theory, stability theory, machine learning, and computer modeling were used. The problem of in-plane spacecraft relative control using only control actions applied tangentially to the orbit is considered. This approach makes it possible to reduce the propellant consumption of reactive actuators and to simplify the architecture of the control system. However, in some cases, methods of the classical control theory do not allow one to obtain acceptable results. In this regard, the possibility of solving this problem by reinforcement learning methods has been investigated, which allows designers to find control algorithms close to optimal ones as a result of interactions of the control system with the plant using a reinforcement signal characterizing the quality of control actions. The well-known quadratic criterion is used as a reinforcement signal, which makes it possible to take into account both the accuracy requirements and the control costs. A search for control actions based on reinforcement learning is made using the policy iteration algorithm. This algorithm is implemented using the actor–critic architecture. Various representations of the actor for control law implementation and the critic for obtaining value function estimates using neural network approximators are considered. It is shown that the optimal control approximation accuracy depends on a number of features, namely, an appropriate structure of the approximators, the neural network parameter updating method, and the learning algorithm parameters. The investigated approach makes it possible to solve the considered class of control problems for controllers of different structures. Moreover, the approach allows the control system to refine its control algorithms during the spacecraft operation.

The model of the servo piston of the fuel metering unit using matrix approach and neural network

2018 ◽  
Vol 13 (4) ◽  
pp. 107-111
Author(s):  
E.V. Denisova ◽  
M.A. Chernikova
Keyword(s):  
Neural Network ◽  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Parametric Uncertainty ◽  
Matrix Approach ◽  
Turbine Engine ◽  
Quality Of Control ◽  
Sufficient Degree ◽  
Natural Stands

In the paper, the model of a servo piston of a fuel metering unit based on a matrix approach using neural networks is considered. To develop the model of a servo piston, the dependence of the initial piston deviation on the control signal for different values of the nozzles is used. This dependence is represented in the form of a matrix and is used in the neural network. This approach allows describing the movement of the servo piston with a sufficient degree of accuracy. As a record of change squares adjustment of the nozzles is a source of parametric uncertainty in the operation of the automatic control system can lead to a drop in the quality of control, such accounting is relevant. The model of the servo piston is proposed to be used in the structure of the automatic control system for a gas turbine engine and for semi-natural stands.

AUTOMATED SYSTEM FOR QUALITY CONTROL OF TOOL PROCESSING IN GLOW DISCHARGE BASED ON NEURAL NETWORK MONITORING

2021 ◽  
Vol 2021 (3) ◽  
pp. 16-24
Author(s):  
Vladimir Logvin ◽  
Tatyana Karlova
Keyword(s):  
Neural Network ◽  
Glow Discharge ◽  
Continuous Monitoring ◽  
Network Monitoring ◽  
Plasma Generator ◽  
Automated System ◽  
Quality Of Control ◽  
Investigation Methods ◽  
Wide Range

Work purpose: improving effectiveness and quality in the control of engineering processes of tool working in the plasma generator of a glow discharge based on neural network monitoring. Investigation methods: use of nature and regularities of human thought at the development of the computer model of a neural network allowed realizing a cybernetic approach at real production object work modeling with the purpose of increasing effectiveness and quality of control at the management based on neural network monitoring. The essence of the modeling method consists in the development of such algorithms and programs which imitate the behavior of the plasma generator of a glow discharge, its characteristics in the structure, volume and field of technological parameter use essential for the research. Investigation results: the system offered for the control of effectiveness and quality of realizable engineering processes during plasma generator work based on neural network monitoring allows ensuring good repeatability of the results on tool strengthening. The defined sequence of engineering process operations of product working in the plasma generator of a glow discharge ensures the formation of specified structure and micro-hardness on the surface of products under processing. In the system offered control and management are formed on the basis of a neural network approach and imitate system behavior at all machining steps of processing. The results of continuous monitoring are shown with the essential discontinuity in on-line modes in the form of values and deviations of controlled technological parameters of the working process on the display of an electronic control unit. The generality and simultaneous uniqueness of the properties of continuous monitoring systems on applicability for real technological object control and range extension of problems solved with their help transforms them into compulsory means for complex automated device equipment. The modeling algorithm offered at the formation of an automated system to control effectiveness and quality in functioning plasma generator of a glow discharge for strengthening a wide range of tools with different profiles with machining steps differed in character of plasma impact, duration and their realization priority allowed optimizing the repeatability of results in ensuring specified properties in surface-bounded layers that satisfies conditions of the automated technological environment.

scholarly journals RESEARCH OF THE PROGRAMMERS FOR CONTROL OF THE PERIODIC ACTION OBJECTS WITH NON-LINEAR TIME PROGRAM

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
O. Klymenko ◽  
E. Krong ◽  
V. Tregub
Keyword(s):  
Control System ◽  
Comparative Analysis ◽  
Automatic Control ◽  
Automatic Control System ◽  
Food Production ◽  
Linear Time ◽  
Periodic Action ◽  
Single Loop ◽  
Quality Of Control

Not a few devices of food production work periodically and programmers are widely used to control these devices. Using logical devices that transfer between program sections can significantly improve the quality of control, but these methods are not sufficiently studied.The research is devoted to the development of a programmer for the implementation of programs with nonlinear time areas, containing logical devices in its structure. Single-loop and combined programmable automatic control system (ACS) with logical devices and without them were investigated and a comparative analysis of their work was performed.

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