scholarly journals Modal synthesis of precision control systems

2020 ◽  
Vol 224 ◽  
pp. 01006
Author(s):  
E M Vasiljev ◽  
E. A. Serdechnaya ◽  
A V Tavolzhanskij

The problem of synthesis of precision modal control systems is considered. It is noted that a common approach to solving this problem is to consistently meet the requirements for the nature of the transient process and for the indicators of its accuracy. This approach to synthesis is faced with the need to make design decisions under incomplete conditions. In practice, this circumstance leads to obtaining synthesis results with undesirable deviations from technical requirements. When designing precision control systems, such deviations are unacceptable. To eliminate the difficulties that arise, a transition to interval methods for formulating and solving modal synthesis problems is proposed. The theoretical possibility of the interval approach is based on the excessive variety of possible placement of eigenvalues in the spectrum of the characteristic matrix of the system. An example of an interval synthesis of a system with a modal controller and additional output feedback is considered. The restrictions on the spectrum of the specified matrix are formed, which determine the fulfillment of the requirements for the monotonicity of the transient process, the regulation time and the accuracy of the response to harmonic influences. It is noted that the variety of solutions obtained creates the preconditions for a multi-alternative approach to modal synthesis of systems.

Author(s):  
Е.М. Васильев ◽  
Е.А. Сердечная ◽  
А.В. Таволжанский

Решается задача синтеза систем модального управления с высоким порядком астатизма. Показано, что традиционный подход к решению этой задачи, заключающийся в последовательном и независимом обеспечении требований к характеру переходного процесса и к показателям его точности, сталкивается с необходимостью принятия проектных решений при неполных условиях. Игнорирование указанного обстоятельства на практике приводит к получению компромиссных результатов с нежелательными отклонениями от технических требований. При проектировании высокоточных систем такие отклонения становятся недопустимыми. Для преодоления указанной трудности предложен переход к интервальным методам постановки и решения задач модального синтеза. Теоретическая возможность такого перехода основана на избыточном многообразии возможного размещения собственных чисел характеристической матрицы системы в её спектре. Рассмотрен пример реализации указанной возможности для системы с модальным регулятором, в структуру которой введена дополнительная обратная связь по выходу. Для этой структуры сформирована система ограничений, накладываемых на спектр указанной матрицы, которые определяют одновременное выполнение требований к монотонности переходного процесса, времени регулирования и к точности отработки гармонических воздействий. Отмечено, что неединственность получаемого решения создаёт предпосылки для многоальтернативного подхода к проектированию системы. Возможности интервального анализа продемонстрированы также на примере системы, в структуру которой введён дифференцирующий наблюдатель задающего воздействия. Показано, что в результате такого анализа могут быть получены граничные условия задачи синтеза, гарантирующие получение требуемых показателей качества системы. Для всех примеров, рассмотренных в работе, представлены результаты имитационного моделирования, подтверждающие работоспособность предложенного метода The article solves problem of synthesis of modal control systems with high astatism order. It shows that the traditional approach to solving this problem, which consists in consistent and independent provision of requirements for the nature of the transient process and for the indicators of its accuracy, faces the need to carry out synthesis under incomplete conditions. Ignoring this circumstance leads to the search for compromise solutions and unwanted deviations from technical requirements. When designing high-precision systems, such deviations become unacceptable. To overcome this difficulty, a transition to interval methods for formulating and solving modal synthesis problems is proposed. The theoretical possibility of such a transition is based on the excessive variety of possible placement of the eigenvalues of the characteristic matrix of the system in its spectrum. An example of the implementation of this possibility is considered for a system with a modal controller, in the structure of which additional output feedback is introduced. For this structure, a system of restrictions imposed on the spectrum of the specified matrix is formed, which determine the simultaneous fulfillment of the requirements for the monotonicity of the transient process, the regulation time and the accuracy of working out harmonic influences. It is noted that the non-uniqueness of the obtained solution creates the preconditions for a multi-alternative approach to system design. The possibilities of interval analysis are also demonstrated by the example of the synthesis of a system, into the structure of which a differentiating observer of the setting action is introduced. It is shown that as a result of such an analysis, the boundary conditions of the synthesis problem can be obtained, which guarantee the obtaining of the required quality indicators of the system. For all the examples considered in the work, the results of simulation are presented, which confirm the efficiency of the proposed synthesis method


1988 ◽  
Vol 10 (3) ◽  
pp. 144-146 ◽  
Author(s):  
K. F. Yee

A statistically significant difference in mean values between two laboratory quantitation methods is interpreted as a bias. Sometimes such a difference is so minute that it does not constitute any practical concern. An alternative approach is to test statistically whether the two methods are close enough, not for equality. This is to look at the confidence interval of the mean method difference and does not entail any additional statistical tests.


2017 ◽  
Vol 29 (10) ◽  
pp. 1684-1698 ◽  
Author(s):  
Benjamin R. Eisenreich ◽  
Rei Akaishi ◽  
Benjamin Y. Hayden

Executive control refers to the regulation of cognition and behavior by mental processes and is a hallmark of higher cognition. Most approaches to understanding its mechanisms begin with the assumption that our brains have anatomically segregated and functionally specialized control modules. The modular approach is intuitive: Control is conceptually distinct from basic mental processing, so an organization that reifies that distinction makes sense. An alternative approach sees executive control as self-organizing principles of a distributed organization. In distributed systems, control and controlled processes are colocalized within large numbers of dispersed computational agents. Control then is often an emergent consequence of simple rules governing the interaction between agents. Because these systems are unfamiliar and unintuitive, here we review several well-understood examples of distributed control systems, group living insects and social animals, and emphasize their parallels with neural systems. We then reexamine the cognitive neuroscience literature on executive control for evidence that its neural control systems may be distributed.


Author(s):  
T.A. Barbasova ◽  

A multilevel resource-saving blast furnace process control is considered. The resource-saving control is provided for operating, adaptation, technical and economic control in the automated systems of blast-furnace processes. It is proposed to form optimal operation modes of blast furnace heating, metal charge structures, natural gas and oxygen consumption. Decisions are made using Kohonen neural networks taking into account current and planned parameters of coke quality, iron ore, raw materials and blast. At the level of operating control, the work suggests a model predictive control to improve the resource conservation indicators. The method is based on decomposition of the general problem of the process dynamics identification on particular problems: dynamic synchronization and identification of process transfer functions. At the level of adaptive control, optimal operating modes of blast furnaces are expedient to be developed with respect to blast furnace heating, structure of metal charge, natural gas and oxygen rate considering the current and planned parameters of coke, blasting. The blast furnace operating modes are suggested to be determined based on Kohonen neural networks. In evaluating the efficiency of introducing the model predictive control, the existing actual statistics of scatter of BF mode parameters should be based upon. The fact is that the introduction of model predictive control assumes no radical change of the BF melt technology. Like in all the control systems, the BF process is considered as the set control object with all its characteristics. Changing process settings, raw material content does not introduce any cardinal variation in the scatter of process characteristics. However, in this case a transient process occurs which is necessary for the control system to identify the changing conditions. The transient process is inherent to all the control systems and the blast furnace process is not an exclusion. As a result of transient process, the control system is set to the optimal mode.


2016 ◽  
Author(s):  
Benjamin R. Eisenreich ◽  
Rei Akaishi ◽  
Benjamin Y. Hayden

AbstractExecutive control refers to the regulation of cognition and behavior by mental processes and is a hallmark of higher cognition. Most approaches to understanding its mechanisms begin with the assumption that our brains have anatomically segregated and functionally specialized control modules. The modular approach is intuitive: control is conceptually distinct from basic mental processing, so an organization that reifies that distinction makes sense. An alternative approach sees executive control as self-organizing principles of a distributed organization. In distributed systems, control and controlled processes are co-localized within large numbers of dispersed computational agents. Control then is often an emergent consequence of simple rules governing the interaction between agents. Because these systems are unfamiliar and unintuitive, here we review several well-understood examples of distributed control systems, group living insects and social animals, and emphasize their parallels with neural systems. We then re-examine the cognitive neuroscience literature on executive control for evidence that its neural control systems may be distributed.


2021 ◽  
Vol 46 (2) ◽  
Author(s):  
I. M. Dovgusha ◽  
◽  
I. M. Lutsenko ◽  
Ya. A. Derkachenko

The paper presents basic information about systems and networks of automated process control systems and identifies trends in their modern development. New tasks of increase of their safety are formulated, both at the stage of the analysis of separate functional knots, and creation of system and a network as a whole according to technical requirements. Different types of constructions of protected enclaves are investigated and recommendations on their choice depending on the set technical requirements to the system and taking into account the criticality of the systems are made. The technology of enclave protection is studied taking into account the criticality of assets.


2014 ◽  
Vol 704 ◽  
pp. 270-276
Author(s):  
Renato A. Aguiar ◽  
Fabrizio Leonardi

The primary goal of this work is to propose an alternative methodology as a first approach in the design of control systems by means of a feedback state gain. The proposed method is detailed and an application is presented. The results show relevant aspects regarding the state feedback gain, especially in regard to variation in the parameters of the plant.


1998 ◽  
Vol 31 (21) ◽  
pp. 27-38 ◽  
Author(s):  
D.I. Kozlov ◽  
G.P. Anshakov ◽  
Y.U.G. Antonov ◽  
V.P. Makarov ◽  
Y.E.I. Somov

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