- Classical Control Systems

2013 ◽  
pp. 370-467
Keyword(s):  
Control Systems ◽  
Classical Control

Control Theory and Decision Making in Organisations A Reconnaissance

1970 ◽  
Vol 3 (3) ◽  
pp. T46-T48 ◽  
Author(s):  
G. L. Mallen
Keyword(s):  
Control Theory ◽  
Control Systems ◽  
Decision Process ◽  
Transfer Functions ◽  
Social Systems ◽  
Simulation Methods ◽  
Industrial Dynamics ◽  
Simulation Approach ◽  
Decision Systems ◽  
Classical Control

Differences between the domains of application of classical control theory and applied cybernetics are examined. It is suggested that a unifying concept for the understanding of both simple mechanical control systems and complex social systems is that of the decision process. Simple decision systems are equated to those for which transfer functions can be specified. Complex systems demand a simulation approach. No prescriptive organisational control theory based on simulation methods yet exists but one is required and is seen to be emerging from such diverse fields as artificial intelligence and Industrial Dynamics.

scholarly journals Notes on a New Structure of Active Noise Control Systems

2020 ◽  
Vol 10 (14) ◽  
pp. 4705 ◽  
Author(s):  
Jarosław Figwer ◽  
Małgorzata I. Michalczyk
Keyword(s):  
Control Systems ◽  
Noise Control ◽  
Feedforward Control ◽  
Active Noise Control ◽  
Wide Sense ◽  
Active Noise ◽  
Technical Realization ◽  
Practical Engineering ◽  
Measurement Path ◽  
Classical Control

The idea of active noise control is an attenuation of unwanted noise with an additionally generated acoustic wave using the phenomenon of interference. Its technical realization employs advanced control algorithms. Active noise control is an area of intense research and practical engineering applications. In the paper a new structure of adaptive active noise control systems is proposed. Compared with classical control systems used for active noise control, the proposed structure contains in an error signal measurement path an additional discrete-time filter that estimates signal values at the input of this path. These estimates are then used to tune the corresponding adaptive filter. Properties of the proposed adaptive active noise control structure are illustrated by simulation examples in which a feedforward control system equipped with this additional filter is used to attenuate unwanted wide-sense stationary random noises with continuous and mixed spectra.

scholarly journals Designing Control Strategies of Aeration System in Biological WWTP

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3619
Author(s):  
Robert Piotrowski ◽  
Tomasz Ujazdowski
Keyword(s):  
Control Systems ◽  
Fuzzy Controller ◽  
Control Strategies ◽  
Batch Reactor ◽  
Treatment Plant ◽  
Biological Processes ◽  
Aeration System ◽  
Energy Expense ◽  
Different Diameters ◽  
Classical Control

The paper presents the complete design processes of novel aeration control systems in the SBR (sequencing batch reactor) wastewater treatment plant (WWTP). Due to large energy expense and a high influence on biological processes, the aeration system plays a key role in WWTP operation. The paper considers the aeration system for a biological WWTP located in the northeast of Poland. This system consists of blowers, the main collector pipeline, three aeration lines with different diameters and lengths, and diffusers. Classical control systems applied for this type of installation are based on PID (proportional–integral–derivative) controllers, the settings of which are often found experimentally. The article presents the optimization of these settings and the design of an alternative control algorithm—the fuzzy controller.

scholarly journals Simple answers to usual questions about unusual forms of the Evans' root locus plot

2008 ◽  
Vol 19 (4) ◽  
pp. 444-449 ◽  
Author(s):  
L.H.A. Monteiro ◽  
J.J. Da Cruz
Keyword(s):  
Control Theory ◽  
Control Systems ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Root Locus ◽  
Loop Control ◽  
Numerical Examples ◽  
Introductory Course ◽  
Classical Control ◽  
First Contact

After a first contact with Evans' root locus plots, in an introductory course about classical control theory, students usually pose questions for which the answers are not trivially found in the usual textbooks. Examples of such questions are: Can a branch intersect itself? Can two or more branches be coincident? Can a branch intersect its asymptote? In this paper devoted to helping teaching, numerical examples and an incremental property are used for answering some questions about unusual forms of root loci related to closed-loop control systems. In some cases, answering to these questions can be fundamental for making a correct sketch of a root locus.

Fuzzy Neural-Network-Based Controller

2015 ◽  
Vol 220-221 ◽  
pp. 407-412
Author(s):  
İsmet Gücüyener
Keyword(s):  
Neural Network ◽  
Control Systems ◽  
Fuzzy Neural Network ◽  
Electronic Communication ◽  
Low Cost ◽  
Automation System ◽  
Neural Network Controller ◽  
Fuzzy Neural ◽  
Classical Control ◽  
Remote Points

Using a controller is necessary for any automation system. The controller must be cheap, reliable, user friendly and not cause any problems for inputs and outputs. Classical control systems like proportional integral derivative (PID) put adequate results of linear systems and continuous-time. In fact, real control systems are time-variant, with non-linearity and poorly calculated dynamic variables. For this reason, conventional control systems need an expert person to adjust controller parameters in general. Sometimes an operator is required to solve control problems. Human control is not completely reliable. Also, it does not include any electronic communication. In modern factories, every point must be monitored and electronically controlled from remote points when necessary. In this study, including every electronic communication channel, a simplified handling, low-cost, reliable, Fuzzy Neural Network Controller (FNNC) is designed.

scholarly journals Genetic Programming Guidance Control System for a Reentry Vehicle under Uncertainties

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1868
Author(s):  
Francesco Marchetti ◽  
Edmondo Minisci
Keyword(s):  
Nonlinear System ◽  
Control Systems ◽  
Control Law ◽  
Reentry Vehicle ◽  
Control Approach ◽  
Controlled Systems ◽  
Technology Advancement ◽  
Highly Nonlinear ◽  
Classical Control ◽  
Nonlinear Control Law

As technology improves, the complexity of controlled systems increases as well. Alongside it, these systems need to face new challenges, which are made available by this technology advancement. To overcome these challenges, the incorporation of AI into control systems is changing its status, from being just an experiment made in academia, towards a necessity. Several methods to perform this integration of AI into control systems have been considered in the past. In this work, an approach involving GP to produce, offline, a control law for a reentry vehicle in the presence of uncertainties on the environment and plant models is studied, implemented and tested. The results show the robustness of the proposed approach, which is capable of producing a control law of a complex nonlinear system in the presence of big uncertainties. This research aims to describe and analyze the effectiveness of a control approach to generate a nonlinear control law for a highly nonlinear system in an automated way. Such an approach would benefit the control practitioners by providing an alternative to classical control approaches, without having to rely on linearization techniques.

scholarly journals Research and Development of Food Industry’s Three-Dimensional Printing

2021 ◽  
Vol 346 ◽  
pp. 03071
Author(s):  
Ramil Nezhmetdinov ◽  
Ilya Kovalev ◽  
Pavel Melikov ◽  
Sergey Sokolov
Keyword(s):  
3D Printing ◽  
Research And Development ◽  
Control Systems ◽  
Three Dimensional ◽  
Lower Price ◽  
Three Dimensional Printing ◽  
Software And Hardware ◽  
Classical Control ◽  
Dimensional Printing

In the presented article, the problem of building a specialized plant for food 3D printing is considered, which allows printing with various food semi-finished products with minimal changeover or without it. The developed plant, including all its software and hardware components, should be flexible and, according to the principles of construction and use, should approach the analogs of additive equipment existing on the market and to the classical control systems corresponding to it, but have more functionality and a lower price. The development of such compact solutions will make it possible to use them both for small cafes, restaurants, and in large factories.

scholarly journals Investigation of the Possibility of Building a Neural Fuzzy Logic Controller with Discrete Terms for Controlling and Automating Oil and Gas Engineering Facilities

2021 ◽  
Vol 19 (3) ◽  
pp. 105-110
Author(s):  
A. M. Sagdatullin ◽  
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Control Systems ◽  
Fuzzy Logic Controller ◽  
Oil And Gas ◽  
Fuzzy Controller ◽  
Neuro Fuzzy ◽  
Classical Control

The issue of increasing the efficiency of functioning of classical control systems for technological processes and objects of oil and gas engineering is investigated. The relevance of this topic lies in the need to improve the quality of the control systems for the production and transportation of oil and gas. The purpose of the scientific work is to develop a neuro-fuzzy logic controller with discrete terms for the control and automation of pumping units and pumping stations. It is noted that fuzzy logic, neural network algorithms, together with control methods based on adaptation and synthesis of control objects, make it possible to learn the automation system and work under conditions of uncertainty. Methods for constructing classical control systems are studied, the advantages and disadvantages of fuzzy controllers, as the main control system, are analyzed. A method for constructing a control system based on a neuro-fuzzy controller with discrete terms in conditions of uncertainty and dynamic parameters of the process is proposed. The positive features of the proposed regulator include a combination of fuzzy reasoning about a technological object and mathematical predictive models, a fuzzy control system gains the possibility of subjective description based on neural network structures, as well as adaptation to the characteristics of the object. The graph of dependence for the term-set of the controlled parameter on the degree of membership is presented. A possible implementation of tracking the triggering of one of the rules of the neuro-fuzzy system in the format of functional block diagrams is presented. The process of forming an expert knowledge base in a neuro-fuzzy control system is considered. For analysis, a graph of the dependence of the output parameter values is shown. According to the results obtained, the deviation of the values for the model and the real process does not exceed 18%, which allows us to speak of a fairly stable operation of the neuro-fuzzy controller in automatic control systems.

APPLICATION OF FACE RECOGNITION TECHNOLOGIES IN CONTROL AND ACCESS CONTROL SYSTEMS

2021 ◽  
Vol 53 (1) ◽  
pp. 83-90
Author(s):  
ALEXANDER N. MARENKOV ◽  
◽  
VALENTINA YU. KUZNETSOVA ◽  
TIMUR M. GELAGAEV ◽  
◽  
...  
Keyword(s):  
Computer Vision ◽  
Control System ◽  
Face Recognition ◽  
Access Control ◽  
Control Systems ◽  
Protected Area ◽  
Computer Vision Technology ◽  
Access Control System ◽  
Control And Management ◽  
Classical Control

The article shows the relevance of the widespread use of computer vision technology on the example of face recognition as part of the access control and management system. The main methods that are used in the implementation of classical control systems and access control are considered. The scheme for the implementation of the access control with face recognition technology is described. The use of this technology makes it possible to increase the level of information security of enterprises and, as a result, reduce the possible financial damage from the implementation of attacks on their assets from illegitimate penetration into the protected area through the access control system using the passes of legal users.

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