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Tytuł:
On the systematic method of conditional control program execution by a PLC
Autorzy:
Milik, A.
Chmiel, M.
Hrynkiewicz, E.
Powiązania:
https://bibliotekanauki.pl/articles/201968.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
control program
PLC
LD
IL
FPGA
compiler
control program optimization
PLC programming
flow graph
program sterujący
kompilator
kontrola
optymalizacja oprogramowania
programowanie sterowników PLC
wykres przepływu
Opis:
The paper presents an original idea of the selective control program execution that allows significant response time reduction. The exhaustive analysis of the PLC program performance is given. An analytic approach explains the idea of the selective control program evaluation and gives the requirements for its feasibility. There is presented a systematic and formal method of program analysis based on a data flow graph approach. The method generates acyclic graph from the control program that is subject of optimization, variable allocation and instruction generation. The graph approach allows determining variables dependencies and task partitioning required by selective program execution. The method utilize the hardware supported variable changes detection. It is transparent for system operation and enables evaluation of blocks that require update.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 1; 161-170
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maximizing performance of linear model predictive control of glycemia for T1DM subjects
Autorzy:
Dodek, Martin
Miklovicová, Eva
Powiązania:
https://bibliotekanauki.pl/articles/2134885.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
diabetes mellitus
artificial pancreas
glycemia control
predictive control
constrained optimization
control feasibility
Opis:
The primary objective of this paper is the custom design of an effective, yet relatively easy-to-implement, predictive control algorithm to maintain normoglycemia in patients with type 1 diabetes. The proposed patient-tailorable empirical model featuring the separated feedback dynamics to model the effect of insulin administration and carbohydrate intake was proven to be suitable for the synthesis of a high-performance predictive control algorithm for artificial pancreas. Within the introduced linear model predictive control law, the constraints were applied to the manipulated variable in order to reflect the technical limitations of insulin pumps and the typical nonnegative nature of the insulin administration. Similarly, inequalities constraints for the controlled variable were also assumed while anticipating suppression of hypoglycemia states during the automated insulin treatment. However, the problem of control infeasibility has emerged, especially if one uses too tight constraints of the manipulated and the controlled variable concurrently. To this end, exploiting the Farkas lemma, it was possible to formulate the helper linear programming problem based on the solution of which this infeasibility could be identified and the optimality of the control could be restored by adapting the constraints. This adaptation of constraints is asymmetrical, thus one can force to fully avoid hypoglycemia at the expense of mild hyperglycemia. Finally, a series of comprehensive in-silico experiments were carried out to validate the presented control algorithm and the proposed improvements. These simulations also addressed the control robustness in terms of the intersubject variability and the meal announcements uncertainty.
Źródło:
Archives of Control Sciences; 2022, 32, 2; 305--333
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of adaptive multivariable Generalized Predictive Control to a HVAC system in real time
Autorzy:
Gulan, M.
Salaj, M.
Rohal’-Ilkiv, B
Powiązania:
https://bibliotekanauki.pl/articles/229355.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive control
multivariable systems
constrained optimization
HVAC system
cascade control
Opis:
This paper presents the application of a Multivariable Generalized Predictive Controller (MGPC) for simultaneous temperature and humidity control in a Heating, Ventilating and Air- Conditioning (HVAC) system. The multivariable controlled process dynamics is modeled using a set of MISO models on-line identified from measured input-output process data. The controller synthesis is based on direct optimization of selected quadratic cost function with respect to amplitude and rate input constraints. Efficacy of the proposed adaptive MGPC algorithm is experimentally demonstrated on a laboratory-scale model of HVAC system. To control the airconditioning part of system the designed multivariable predictive controller is considered in a cascade dual-rate control scheme with PID auxiliary controllers.
Źródło:
Archives of Control Sciences; 2014, 24, 1; 67-84
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
KFOA: K-mean Clustering, Firefly Based Data Rate Optimization and ACO Routing for Congestion Control in WSN
Autorzy:
Jadhav, Savita Sandeep
Jadhav, Sangeeta
Powiązania:
https://bibliotekanauki.pl/articles/2200678.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
congestion control
WSN
rate optimization
clustering
routing
Opis:
Wireless sensor network (WSN) is assortment of sensor nodes proficient in environmental information sensing, refining it and transmitting it to base station in sovereign manner. The minute sensors communicate themselves to sense and monitor the environment. The main challenges are limited power, short communication range, low bandwidth and limited processing. The power source of these sensor nodes are the main hurdle in design of energy efficient network. The main objective of the proposed clustering and data transmission algorithm is to augment network performance by using swarm intelligence approach. This technique is based on K-mean based clustering, data rate optimization using firefly optimization algorithm and Ant colony optimization based data forwarding. The KFOA is divided in three parts: (1) Clustering of sensor nodes using K-mean technique and (2) data rate optimization for controlling congestion and (3) using shortest path for data transmission based on Ant colony optimization (ACO) technique. The performance is analyzed based on two scenarios as with rate optimization and without rate optimization. The first scenario consists of two operations as k-mean clustering and ACO based routing. The second scenario consists of three operations as mentioned in KFOA. The performance is evaluated in terms of throughput, packet delivery ratio, energy dissipation and residual energy analysis. The simulation results show improvement in performance by using with rate optimization technique.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 4; 659--665
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors
Autorzy:
Nebeluk, Robert
Marusak, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/230077.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
nonlinear systems
nonlinear models
nonlinear control
simulation
optimization
Opis:
Model predictive control (MPC) algorithms brought increase of the control system performance in many applications thanks to relatively easily solving issues that are hard to solve without these algorithms. The paper is focused on investigating how to further improve the control system performance using a trajectory of parameters weighting predicted control errors in the performance function of the optimization problem. Different shapes of trajectories are proposed and their influence on control systems is tested. Additionally, experiments checking the influence of disturbances and of modeling uncertainty on control system performance are conducted. The case studies were done in control systems of three control plants: a linear non-minimumphase plant, a nonlinear polymerization reactor and a nonlinear thin film evaporator. Three types of MPC algorithms were used during research: linear DMC, nonlinear DMC with successive linearization (NDMC–SL), nonlinear DMC with nonlinear prediction and linearization (NDMC–NPL). Results of conducted experiments are presented in greater detail for the control system of the polymerization reactor, whereas for the other two control systems only the most interesting results are presented, for the sake of brevity. The experiments in the control system of the linear plant were done as preliminary experiments with the modified optimization problem. In the case of control system of the thin film evaporator the researched mechanisms were used in the control system of a MIMO plant showing possibilities of improving the control system performance.
Źródło:
Archives of Control Sciences; 2020, 30, 2; 325-363
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Performance Study on Synchronous and Asynchronous Update Rules for A Plug-In Direct Particle Swarm Repetitive Controller
Autorzy:
Ufnalski, B.
Grzesiak, L. M.
Powiązania:
https://bibliotekanauki.pl/articles/141272.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
repetitive process control
particle swarm optimization (PSO)
synchronous and asynchronous update rules
dynamic optimization problem
repetitive disturbance rejection
optimal control
Opis:
In this paper two different update schemes for the recently developed plug-in direct particle swarm repetitive controller (PDPSRC) are investigated and compared. The proposed approach employs the particle swarm optimizer (PSO) to solve in on-line mode a dynamic optimization problem (DOP) related to the control task in the constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an LC output filter. The effectiveness of synchronous and asynchronous update rules, both commonly used in static optimization problems (SOPs), is assessed and compared in the case of PDPSRC. The performance of the controller, when synthesized using each of the update schemes, is studied numerically.
Źródło:
Archives of Electrical Engineering; 2014, 63, 4; 635-646
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
HEVC Encoding Assisted with Noise Reduction
Autorzy:
Stankiewicz, O.
Wegner, K.
Karwowski, D.
Stankowski, J.
Klimaszewski, K.
Grajek, T.
Powiązania:
https://bibliotekanauki.pl/articles/226110.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
HEVC encoding
encoder control
model selection optimization
noise reduction
Opis:
Optimization of encoding process in video compression is an important research problem, especially in the case of modern, sophisticated compression technologies. In this paper, we consider HEVC, for which a novel method for selection of the encoding modes is proposed. By the encoding modes we mean e.g. coding block structure, prediction types and motion vectors. The proposed selection is done basing on noise-reduced version of the input sequence, while the information about the video itself, e.g. transform coefficients, is coded basing on the unaltered input. The proposed method involves encoding of two versions of the input sequence. Further, we show realization proving that the complexity is only negligibly higher than complexity of a single encoding. The proposal has been implemented in HEVC reference software from MPEG and tested experimentally. The results show that the proposal provides up to 1.5% bitrate reduction while preserving the same quality of a decoded video.
Źródło:
International Journal of Electronics and Telecommunications; 2018, 64, 3; 285-292
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of predictive control for manipulator mounted on a satellite
Autorzy:
Rybus, T.
Seweryn, K.
Sąsiadek, J. Z.
Powiązania:
https://bibliotekanauki.pl/articles/229912.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
space robotics
predictive control
trajectory optimization
free-floating manipulator
Opis:
Specific conditions of on-orbit environment are taken into account in the design of all devices intended to be used in space. Despite this fact malfunctions of satellites occur and sometimes lead to shortening of the satellite operational lifetime. It is considered to use unmanned servicing satellite, that could perform repairs of other satellites. Such satellites equipped with a manipulator, could be used to capture and remove from orbit large space debris. The critical part of planned missions is the capture manoeuvre. In this paper a concept of the control system for the manipulator mounted on the satellite is presented. This control system is composed of the trajectory planning module and model predictive controller (the latter is responsible for ensuring precise realization of the planned trajectory). Numerical simulations performed for the simplified planar case with a 2 DoF manipulator show that the results obtained with the predictive control are better than the results obtained with adaptive control method.
Źródło:
Archives of Control Sciences; 2018, 28, 1; 105-118
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coordinated control strategy for microgrid stability maintenance under isolated island operation
Autorzy:
Wu, Pan
Xu, Xiaowei
Powiązania:
https://bibliotekanauki.pl/articles/1841281.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
coordinated control
isolated island operation
microgrid
particle swarm optimization
Opis:
In this study, the inverter in a microgrid was adjusted by the particle swarm optimization (PSO) based coordinated control strategy to ensure the stability of the isolated island operation. The simulation results showed that the voltage at the inverter port reduced instantaneously, and the voltage unbalance degree of its port and the port of point of common coupling (PCC) exceeded the normal standard when the microgrid entered the isolated island mode. After using the coordinated control strategy, the voltage rapidly recovered, and the voltage unbalance degree rapidly reduced to the normal level. The coordinated control strategy is better than the normal control strategy.
Źródło:
Archives of Electrical Engineering; 2021, 70, 2; 285-295
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal Spectrum Utilization and Flow Controlling In Heterogeneous Network with Reconfigurable Devices
Autorzy:
Hashmi, S. S.
Sattar, S. A.
Soundararajan, K.
Powiązania:
https://bibliotekanauki.pl/articles/226380.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
rate-inference optimization
heterogeneous network
flow control
spectrum utilization
Opis:
Fairness provisioning in heterogeneous networks is a prime issue for high-rate data flow, wherein the inter-connectivity property among different communication devices provides higher throughput. In Hetnet, optimal resource utilization is required for efficient resource usage. Proper resource allocation in such a network led to higher data flow performance for real-time applications. In view of optimal resource allocation, a resource utilization approach for a reconfigurable cognitive device with spectrum sensing capability is proposed in this paper. The allocation of the data flow rate at device level is proposed for optimization of network fairness in a heterogeneous network. A dynamic approach of rate-inference optimization is proposed to provide fairness in dynamic data traffic conditions. The simulation results validate the improvement in offered quality in comparison to multi-attribute optimization.
Źródło:
International Journal of Electronics and Telecommunications; 2017, 63, 3; 269-277
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Particle swarm optimization of an iterative learning controller for the single-phase inverter with sinusoidal output voltage waveform
Autorzy:
Ufnalski, B.
Grzesiak, L. M.
Gałkowski, K.
Powiązania:
https://bibliotekanauki.pl/articles/200271.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
iterative learning control
sine wave inverter
particle swarm optimization (PSO)
Opis:
This paper presents the application of a particle swarm optimization (PSO) to determine iterative learning control (ILC) law gains for an inverter with an LC output filter. Available analytical tuning methods derived for a given type of ILC law are not very straightforward if additional performance requirements of the closed-loop system have to be met. These requirements usually concern the dynamics of a response to a reference signal, the dynamics of a disturbance rejection, the immunity against expected level of system and measurement noise, the robustness to anticipated variations of parameters, etc. An evolutionary optimization approach based on the swarm intelligence is proposed here. It is shown that in the case of the ILC applied to the LC filter, a cost function based on mean squares can produce satisfactory tuning effects. The efficacy of the procedure is illustrated by performing the optimization for various noise levels and various requested dynamics.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 3; 649-660
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ant colony optimization for data acquisition mission planning
Autorzy:
Colmenares, G.
Halal, F.
Zaremba, M.B.
Powiązania:
https://bibliotekanauki.pl/articles/407293.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
path planning
environment monitoring
ant colony optimization
data acquisition
navigation control
satellite imagery
constraint-based optimization
Opis:
The probabilistic Ant Colony Optimization (ACO) approach is presented to solve the problem of designing an optimal trajectory for a mobile data acquisition platform. An ACO algorithm optimizes an objective function defined in terms of the value of the acquired data samples subject to different sets of constraints depending on the current data acquisition strategy. The analysis presented in this paper focuses on an environment monitoring system, which acquires in-situ data for precise calibration of a water quality monitoring system. The value of the sample is determined based on the concentration of the water pollutant, which in turn is obtained through processing of multi-spectral satellite imagery. Since our problem is defined in a continuous space of coordinates, and in some strategies each point is able to connect to any other point in the space, we adopted a hybrid model that involves a connection graph and also a spatial grid.
Źródło:
Management and Production Engineering Review; 2014, 5, 2; 3-11
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application-oriented experiment design for model predictive control
Autorzy:
Jakowluk, W.
Świercz, M.
Powiązania:
https://bibliotekanauki.pl/articles/201147.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
optimal input design
convex optimization
application-oriented identification
Opis:
The model predictive control (MPC) technique has been widely applied in a large number of industrial plants. Optimal input design should guarantee acceptable model parameter estimates while still providing for low experimental effort. The goal of this work is to investigate an application-oriented identification experiment that satisfies the performance objectives of the implementation of the model. A- and D-optimal input signal design methods for a non-linear liquid two-tank model are presented in this paper. The excitation signal is obtained using a finite impulse response filter (FIR) with respect to the accepted application degradation and the power constraint. The MPC controller is then used to control the liquid levels of the double tank system subject to the reference trajectory. The MPC scheme is built based on the linearized and discretized model of the system to predict the system’s succeeding outputs with reference to the future input signal. The novelty of this model-based method consists in including the experiment cost in input design through the objective function. The proposed framework is illustrated by means of numerical examples, and simulation results are discussed.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 883-891
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle
Autorzy:
Ufnalski, B.
Grzesiak, L.
Powiązania:
https://bibliotekanauki.pl/articles/201631.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electric vehicle
speed control
adaptive ANN controller
particle swarm optimization (PSO)
Opis:
The paper presents implementation of PSO (Particle Swarm Optimization) to ANN-based speed controller tuning. Selected learning parameters are optimized according to the control objective function. A battery electric vehicle is considered as a potential plant for an adaptive speed controller. The need for adaptivity in the control algorithm is justified by variations of a total weight of the vehicle. A sizable section of the paper deals with selection of a combined objective function able to effectively evaluate the quality of a solution.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 3; 661-667
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Kryteria optymalizacji w systemach sterowania rozmytego piecami odlewniczymi
The Optimization Criteria in Fuzzy Control Systems of Foundry Furnaces
Autorzy:
Ziółkowski, E.
Śmierciak, P.
Powiązania:
https://bibliotekanauki.pl/articles/947493.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
piec odlewniczy
sterowanie rozmyte
sterowniki rozmyte
optymalizacja regulatora
kryteria optymalizacji
foundry furnaces
fuzzy control
optimization controllers
optimization criteria
Opis:
Regulatory rozmyte są coraz powszechniej stosowane w układach sterowania urządzeniami technicznymi i procesami technologicznymi. Projektowanie regulatorów rozmytych przeznaczonych do sterowania piecami odlewniczymi, które charakteryzują się dużymi wartościami stałych czasowych i czasów opóźnień, jest zagadnieniem bardzo złożonym. Do optymalizacji struktury i wartości parametrów takich regulatorów można zastosować różne kryteria jakościowe, które decydują o efektywności układu sterowania. W artykule przedstawiono wybrane kryteria optymalizacji parametrów regulatora rozmytego o założonej strukturze. Na podstawie zaprezentowanych wyników symulacji pracy modelowego układu sterowania rozmytego odlewniczym piecem elektrycznym oporowym dokonano oceny jakości sterowania dla wybranych kryteriów optymalizacji.
Fuzzy controllers are more commonly used in technical equipment and technological processes of control systems. Designing fuzzy regulators for controlling foundry furnaces, which are characterized by high values of the time constants and time delays, is very complicated. To optimize the structure and parameters of such controllers different quality criteria could be applied to determine the effectiveness of the control system. The paper presents the selected criteria to optimize the fuzzy controller parameters of the assumed structure. On the basis of the presented simulation results of the fuzzy control model of the foundry electric resistance furnace, the quality control for the selected optimization criteria has been assessed.
Źródło:
Archives of Foundry Engineering; 2014, 14, 2 spec.; 95-100
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 33

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