Numerical simulation and analysis of fuzzy PID and PSD control methodologies as dynamic energy efficiency measures

Ardehali, M.M.; Saboori, M.; Teshnelab, Mohammad

doi:10.1016/j.enconman.2003.11.003

Cited by 29 publications

(18 citation statements)

References 9 publications

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“…Regulátor PID je široko používaný pre priemyselnú automatizáciu úloh a regulovanie tepelného komfortu vykurovania a chladenia v aplikáciách. (Ardehali, 2004) 2 Automatizácia a regulácia v spojitých systémoch Riadenie je činnosť, pri ktorej sa hodnotia a spracúvajú informácie o riadenom objekte alebo procese a podľa nich sa ovládajú príslušné zariadenia tak, aby sa dosiahol daný cieľ (Krčula, 1982). Je to pôsobenie riadiaceho systému na riadený systém.…”

Section: úVodunclassified

Simulation of PID Controller in the Programming Environment Matlab

Koprda¹

2014

AIP

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Abstrakt: Článok sa zaoberá problematikou modelovania spojitých systémov. Pre simuláciu regulátora PID sme použili prostredie Matlab. Cieľom príspevku je oboznámiť sa s problematikou simulácie základných regulátorov PI PD a v neposlednom rade aj PID. Riešená problematika má v konečnom dôsledku priniesť odbornej verejnosti jednoduchý prehľad ako nasimulovať základné druhy regulátorov v prostredí Matlab. V článku je ako nástroj na modelovanie dynamických systémov použitý programový systém Matlab vyvinutý firmou Math Works. V súčasnosti má tento Software široké uplatnenie v rôznych oblastiach vedy a techniky. V teórii automatického riadenia sa stáva dokonca jedným z najpoužívanejších programových prostriedkov vo svete. Matlab tak ako každý iný programový prostriedok umožňuje vyjadriť niektoré myšlienky viacerými spôsobmi. Výhodou prostredia Matlab je možnosť pracovať s blokmi podobnými blokom bežne používaným v schémach pre regulačnú techniku. Dynamický systém, ktorý potrebujeme modelovať je možné zostaviť zo štandardných blokov. Tie sú preddefinované v knižniciach Simulinku a jednoduchým kopírovaním ich môžeme aplikovať priamo v Matlabe.Klíčová slova: PID regulátor, Modelovanie, Matlab Simulink, Spojitý systém.Abstract: This paper deals with the problem of modelling continuous systems. For simulate a PID controller, we used virtual environment Matlab. The goal of this article is to give information about the topic of the basic regulators PI PD simulation and PID too. Eventually, solved issues have to bring to professionals simple overview of how to simulate fundamental regulators' types in Matlab enviroment. In this paper is like a tool for modelling of dynamic systems applied Matlab. Matlab was developed by The Math Works Inc. This software has a wide application in various fields of science and technology. In the theory of automatic control is becoming even one of the most used software tools in the world. MATLAB just like any other simulation program means allow to express some thoughts in several ways. The advantage of Matlab is the opportunity to work with blocks of similar blocks commonly used in schemes for control technology. Dynamic systems which need to be modelled can be assembled from standard blocks. These are predefined in libraries Simulink and with using simple copying them can be applied their directly in Matlab.

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Section: úVodunclassified

Simulation of PID Controller in the Programming Environment Matlab

Koprda¹

2014

AIP

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“…In the present section some indexes will be introduced to evaluate the performance of HVAC control systems: some of them aimed at computing the thermal comfort performance and other at computing the energy performance; these parameters are based on the work of Ardehali et al [17], and on the EN 15251 standard [8].…”

Section: Indexes Adopted For Evaluating the Performance Of Hvac Contrmentioning

confidence: 99%

“…At this regard, although some interesting works related to the artificial intelligence topics have shown that fuzzy systems and neural networks can simultaneously control both requirements, in this way contributing to reduction of energy consumption and guarantying acceptable indoor comfort conditions [14,15,16,17,18], we need to better matching the purposes of the energy saving and of the indoor thermal conditions for people. In other words, we must dispose of effective and simple tools of analysis that contemporary take into account both requirements in the building and HVAC design process.…”

Section: Introductionmentioning

confidence: 99%

“…In this aim, we will present a comparison between the classic control strategies (ON-OFF controller) and a PID-fuzzy controller: having in mind the energy cost related with the achievement of indoor thermal comfort conditions, we will adopt a couple of 4 cost functions, as suggested by Ardheali et al [17], that is the penalty associated with the deviation from the optimal comfort set point of the selected comfort index, and the penalty associated with the energy consumption for heating purposes.…”

Section: Introductionmentioning

confidence: 99%

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Comparing different control strategies for indoor thermal comfort aimed at the evaluation of the energy cost of quality of building

Calvino¹,

Gennusa²,

Morale³

et al. 2010

Applied Thermal Engineering

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The rapid improvement in the standard of living requires more detailed and sophisticated methods of evaluating comfort conditions. But, maintaining thermal comfort conditions in confined environments may require complex regulation procedures and the proper management of heating, ventilating and air conditioning (HVAC) systems. In turn, the requirements for indoor thermal comfort do not necessarily coincide with those of energy saving purposes, which in the last years are

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“…With the rapid development of modern industry and computer technology, the development direction of test goes beyond traditional manual test method, and turns on to the concentrations on the intelligent automation test method by computer, test control, and virtual instrument technology [1]. Because automatic control of many current test experiments for solenoid valve are not achieved yet, in order to meet the demand of the development of production, it is necessary to design an electromechanical integrated equipment-solenoid valve intelligent test system, which should be with the quality of high-performance, practicality, good expansibility, energy saving and environmental protection.…”

Section: Introductionmentioning

confidence: 99%

Research on Intelligent Test System for Solenoid Valve

Jiang¹,

Liu²,

Zhang³

et al. 2009

IJIES

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Abstract:The solenoid valve is a key control element of hydraulic system which plays a decisive role in the reliability and the level of automation of the equipment. An intelligentized, comprehensive and high efficient test system of solenoid valve is designed in this paper. The mathematical model of the test system is built after ignoring the unimportant factors, and the visual modeling is built with the AMESim software. Fuzzy turning PID controller which changes the three parameters of PID controller by the error and error's varieties of systems is used to control the system pressure; the performance of system is obtained by simulating with combining MATLAB/Simulink and AMESim. 5Bar, 15Bar and 25Bar are given as the target value, and the best controlling strategy after the analysis and comparison is got to improve the test efficiency and test results of solenoid valve.

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Numerical simulation and analysis of fuzzy PID and PSD control methodologies as dynamic energy efficiency measures

Cited by 29 publications

References 9 publications

Simulation of PID Controller in the Programming Environment Matlab

Simulation of PID Controller in the Programming Environment Matlab

Comparing different control strategies for indoor thermal comfort aimed at the evaluation of the energy cost of quality of building

Research on Intelligent Test System for Solenoid Valve

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