scholarly journals Vessel heading control systems with switchable regulators

2021 ◽  
pp. 169-177
Author(s):  
Alexander A. Dyda ◽  
Nguyen Van Thanh Van Thanh ◽  
Ksenya N. Chumakova
Keyword(s):  
Control System ◽  
Control Systems ◽  
Transient Process ◽  
Control Process ◽  
Variable Structure ◽  
Quality Of Control ◽  
Heading Control ◽  
Course Control ◽  
Switching Regulators

The purpose of this work is to study the possibilities of improving the quality of the processes of controlling the movement of the vessel along the course by combining individual standard controllers. Of the known scientific directions devoted to the problem being solved, the closest is the theory of systems with variable structure, in which, due to switching, a unique useful property is achieved, which are not possessed by individual switched structures. The article is devoted to the approach to the construction of the ship course control system, which is based on the principle of switching regulators during the transient process. This makes it possible to improve the quality of control processes in the system by using the features of individual regulators, in particular, the application of the switching principle made it possible to significantly increase the speed of the system in comparison with systems without switching and ensure the desired monotonic nature of the control process. The proposed approach is illustrated based on switchable P-controllers. The results of modeling the developed ship course control system are presented and discussed.

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 Performance Assessment of Predictive Control—A Survey

Algorithms ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 97 ◽  
Author(s):  
Paweł D. Domański
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
Performance Assessment ◽  
Control Systems ◽  
Predictive Control ◽  
Successful Implementation ◽  
Assessment Procedure ◽  
Control Performance ◽  
Quality Of Control

Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures have been implemented. The first applications were in chemical engineering, and now Model Predictive Control can be found in almost all kinds of applications, from the process industry to embedded control systems or for autonomous objects. Currently, each implementation of a control system requires strict financial justification. Application engineers need tools to measure and quantify the quality of the control and the potential for improvement that may be achieved by retrofitting control systems. Furthermore, a successful implementation of predictive control must conform to prior estimations not only during commissioning, but also during regular daily operations. The system must sustain the quality of control performance. The assessment of Model Predictive Control requires a suitable, often specific, methodology and comparative indicators. These demands establish the rationale of this survey. Therefore, the paper collects and summarizes control performance assessment methods specifically designed for and utilized in predictive control. These observations present the picture of the assessment technology. Further generalization leads to the formulation of a control assessment procedure to support control application engineers.

Experimental studies of the operation dynamics of the motion neuro regulator of a nonlinear dynamic system

2021 ◽  
pp. 26-41
Author(s):  
Yu. Romasevych ◽  
◽  
V. Loveikin ◽  
A. Shevchuk ◽  
I. Bolbot ◽  
...  
Keyword(s):  
Angular Velocity ◽  
Dynamic System ◽  
Nonlinear Dynamic ◽  
Supply Voltage ◽  
Experimental Studies ◽  
Control Process ◽  
Nonlinear Dynamic System ◽  
Quality Of Control ◽  
Control Stability

In the article, experimental studies of the neurocontroller of a laboratory installation of a quadrocopter link are presented. The latter is a nonlinear dynamic system. The input vector of the neurocontroller included the angle of inclination of the rod (a beam of the quadcopter) relative to the horizon, its angular velocity, and the angular velocity of the propeller. The output signal of the neurocontroller is proportional to the supply voltage of the propeller drive. In the article, the planning of experimental studies was carried out and eight indicators were selected, according to which the quality of the control process was evaluated. In addition, a qualitative analysis of the control process of the dynamic system motion was carried out with the corresponding graphical dependencies. The data obtained showed a good quality of control at a zero setpoint angle. For other values of the setpoint (-0.52 and -1.05 rad), the neurocontroller provides the rod aboutness to the setpoint angle and the control stability. However, the quality of control is not high. The reason for this effect has been established in the work. In order to improve the quality of control, the neurocontroller was modified by including an integral component in its structure. At the same time, the steady-state control error has significantly decreased with minor changes in other estimated indicators.

Creation of Fuzzy Control Table with Data Mining

2013 ◽  
Vol 760-762 ◽  
pp. 1080-1083
Author(s):  
Jun Gao
Keyword(s):  
Data Mining ◽  
Control System ◽  
Fuzzy Control ◽  
Control Systems ◽  
Association Rule ◽  
New Method ◽  
Data Mining Techniques ◽  
Fuzzy Control System

A good fuzzy control table is the key to a fuzzy control system, and the systems performance mainly depends on the quality of the table. Based on analyzing fully the principles of a typical fuzzy control systems and the procedures of building a fuzzy control table, this paper presents a new method of applying the boolean association rule data mining techniques to mining of fuzzy control table directly from the database of manual operating records.

scholarly journals Algorithm for controlling the process of buffer wastewater neutralization

2021 ◽  
pp. 27-35
Author(s):  
Anatolii Zhuchenko ◽  
Ruslan Osipa ◽  
Liudmyla Osipa ◽  
Lesia Ladieva
Keyword(s):  
Control System ◽  
Process Control ◽  
Control Systems ◽  
Block Diagram ◽  
Domestic Wastewater ◽  
Automated Control ◽  
Diagram Method ◽  
Industrial Enterprises ◽  
Treatment Facilities

In Ukraine, the condition of surface water near industrial enterprises is extremely critical. The operation of enterprises leads to intensive water pollution with industrial and domestic wastewater. Therefore, improving the quality of treatment facilities through the introduction of automated control systems is an urgent problem. For the operation of automated control systems for typical cleaning processes, a software package is required, which is developed on the basis of appropriate algorithmic software and mathematical models of processes. To obtain them, methods of mathematical and simulation modeling and block diagram method of algorithmization were used. In order to assess the quality of the developed algorithm for controlling the process of buffer wastewater neutralization during operation, a comparison of control system operation based on this algorithm with the most successful foreign variants of neutralization control systems was made. Simulation for the average values of operating parameters Q = 75 m3 / h, CP = 75 g / l, and Ck = 2 g / l at minimum b = 0.02 g / l pH and maximum buffer value b = 0.47 g / l pH, and also with  unidirectional extreme combination of parameters Q = 50 m3 / h, CP = 100 g / l, b = 0,02 g / l pH and Q = 100 m3 / h, CP= 50 g / l, for minimum b = 0.02 g / l pH and maximum buffering value  b = 0.47 g / l pH shows that the best quality of transient processes is for the control system operating on the basis of the developed algorithm. For any combination of parameters, the transients for this control system provide better quality transients. Studies have shown that the control system based on the developed algorithm in comparison with the previously proposed systems provides better process control by reducing the time of transients and reducing the dynamic deviation of the output parameters, which improves the quality of wastewater treatment. Given the non-stationary process and high requirements for the cleaning parameters, manual control of this process is beyond the power of even an experienced operator. The developed mathematical model describing the dynamics of the wastewater neutralization reactor with buffer properties and the process control algorithm made it possible to proceed to the development of the control system software, which is necessary for the automated control of this process.

scholarly journals HEADING CONTROL OF AUTOMATED GUIDED VEHICLES

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Abhishek Bhardwaj ◽  
Kshitij Anand ◽  
Murtaza Khasamwala
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
Control Strategies ◽  
Optimal Path ◽  
Automated Guided Vehicles ◽  
Holistic View ◽  
Heading Control ◽  
Automation Control

With rapid developments in industry wide automation control systems, there have been numerous proposed design and control strategies as alternatives to conventional methods. This term paper deals with the same in the context of Automated Guided Vehicles (AGV’s) with a review of the current literature for proposed design improvements as well as trajectory control systems that can improve productivity and reduce conflicts compared to current methods. The results of these proposed methods are also compared in contrast to each other to obtain holistic view of the merits and demerits of the same. It is found that a fuzzy logic based PID control is a definite upgrade over conventional PID control systems and that the application of LIDAR and Camera based technologies can help enable free roaming AGV’s lending to increased robustness and flexibility. For a control system consisting of a single AGV and multiple processing stations, a genetic algorithm enhanced centralized fuzzy logic control system is the most optimal path planning algorithm whereas in the cases of multiple robots, a dynamic priority allocated free roaming AGVsystem with semi-decentralized control is found to be much more efficient at simultaneously solving paths and reducingconflicts with other robots in real time compared to the purely centralized systems.

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