75,563 research outputs found
PID control system analysis and design
With its three-term functionality offering treatment of both transient and steady-state responses,
proportional-integral-derivative (PID) control provides a generic and efficient solution to realworld
control problems. The wide application of PID control has stimulated and sustained
research and development to "get the best out of PID", and "the search is on to find
the next key technology or methodology for PID tuning".
This article presents remedies for problems involving the integral and derivative terms. PID design objectives,
methods, and future directions are discussed. Subsequently, a computerized, simulation-based approach
is presented, together with illustrative design results for first-order, higher order, and nonlinear plants. Finally,
we discuss differences between academic research and industrial practice, so as to motivate new research
directions in PID control
PID control system analysis, design, and technology
Designing and tuning a proportional-integral-derivative
(PID) controller appears to be conceptually intuitive, but can
be hard in practice, if multiple (and often conflicting) objectives
such as short transient and high stability are to be achieved.
Usually, initial designs obtained by all means need to be adjusted
repeatedly through computer simulations until the closed-loop
system performs or compromises as desired. This stimulates
the development of "intelligent" tools that can assist engineers
to achieve the best overall PID control for the entire operating
envelope. This development has further led to the incorporation
of some advanced tuning algorithms into PID hardware modules.
Corresponding to these developments, this paper presents a
modern overview of functionalities and tuning methods in patents,
software packages and commercial hardware modules. It is seen
that many PID variants have been developed in order to improve
transient performance, but standardising and modularising PID
control are desired, although challenging. The inclusion of system
identification and "intelligent" techniques in software based PID
systems helps automate the entire design and tuning process to
a useful degree. This should also assist future development of
"plug-and-play" PID controllers that are widely applicable and
can be set up easily and operate optimally for enhanced productivity,
improved quality and reduced maintenance requirements
Patents, software and hardware for PID control: an overview and analysis of the current art
Proportional-integral-derivative (PID) control provides simplicity, clear functionality, and ease of use. Since the invention of PID control in 1910 (largely owing to Elmer Sperry’s ship autopilot) and the straightforward Ziegler-Nichol (Z-N) tuning rule in 1942, the popularity of PID has grown tremendously. Today, PID is used in more than 90% of practical control systems, ranging from consumer electronics to industrial processes. The wide application of PID has stimulated and sustained the development and patenting of various tuning and associated system identification techniques. For example, sophisticated software packages and ready-made hardware modules are developed to facilitate on-demand tuning and to "get the best out of PID". However, to achieve optimal transient performance, tuning methods vary, and there exists no standardization of PID structures at present. This article provides an overview and analysis of PID patents, commercial software packages, and hardware modules. We also highlight differences between academic research and industrial practice, so as to motivate new research directions in PID technology
Controle PID preditivo para plantas com atraso de transporte: estudo de caso em um laminador
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-graduação em Engenharia Elétrica.Os controladores PID (proporcional, integral e derivativo) avançados são controladores compostos de estrutura PID, cujos parâmetros são sintonizados por um dos métodos pertencentes ao controle inteligente, robusto, preditivo, adaptativo, não-linear ou ótimo, sem que se modifique o princípio de atuação desses parâmetros. A proposta desta dissertação é desenvolver e comparar diferentes técnicas de controle PID avançadas aplicadas ao controle, em ambiente de simulação, da espessura de chapas de aço produzidas por um laminador quádruo simples. A motivação deve-se ao fato de ser a laminação a área de maior influência no custo operacional do aço, além do constante esforço dos engenheiros para melhorar o desempenho, a produtividade e a qualidade do produto. No estudo de caso obtém-se a modelagem de uma cadeira de laminação, observando-se as variáveis pertinentes ao controle, bem como a descrição dos principais problemas como o atraso de transporte inerente à medição de espessura e o efeito da excentricidade devida a imperfeição dos cilindros. A dissertação aborda estratégias de controle PID avançados visando melhor o tratamento do atraso de transporte, usando abordagens de controle preditivo generalizado e compensadores PID, apresentando as etapas de desenvolvimento das abordagens avançadas a partir da técnica clássica. As simulações são realizadas para análises do comportamento regulatório da malha de controle, da robustez e da tolerância à excentricidade em regime permanente
PID controller for anesthesia
opena circuito chiuso applicato all'anestesia intravenosa. Inizialmente si fornisce una definizione generale di anestesia, delineando gli effetti che essa determina sul paziente e le varie fasi che la caratterizzano. Successivamente, si definiscono il modello farmacocinetico (PK) e quello farmacodinamico (PD) utilizzati per rappresentare accuratamente la dinamica dei farmaci anestetici Propofol e Remifentanil. Si passa poi alla spiegazione della struttura del simulatore del paziente, che riceve in ingresso le dosi di farmaci anestetici e fornisce in uscita variabili anestetiche tramite le quali è possibile monitorare gli effetti dell'anestesia. Si studia la differenza tra il sistema a circuito aperto e quello a circuito chiuso, seguito dall'enumerazione delle componenti chiave che compongono il sistema, in modo particolare il controllore PID (Proporzionale, Integrale, Derivativo). La performance di quest’ultimo viene testata su una popolazione di 24 pazienti, per consentire la raccolta di maggiori dati. L'elaborato si conclude enunciando le prospettive future nell'ambito analizzato.This thesis aims to study the implementation of a closed-loop control system for intravenous anesthesia. Firstly, it provides a general definition of anesthesia, outlining its effects on the patient and the various phases that characterize it. Subsequently, it defines the pharmacokinetic (PK) and pharmacodynamic (PD) models used to precisely represent the dynamics of the anesthetic drugs Propofol and Remifentanil. Furthermore, the discussion proceeds to delve into the structure of the patient simulator, which receives as an input doses of anesthetic drugs and provides as an output anesthetic variables that enable the monitoring of the effects of anesthesia. Following this the difference between open-loop and closed-loop systems are studied and the key components that make up the system are shown, focusing mostly on the PID controller (Proportional, Integral, Derivative). The performance of the two systems is tested on a population of 24 patients to gather more data. The paper concludes by outlining future prospects in the analyzed field
Zero overshoot and fast transient response using a fuzzy logic controller
In some industrial process control systems it is
desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system. This paper outlines our work in designing a fuzzy PID controller to achieve a step-response with zero overshoot while improving the output transient response. Our designed fuzzy PID controller is applied to stable, marginally stable and unstable systems and their step responses are compared with a tuned conventional PID controller. A comparative case study shows that the proposed fuzzy controller is highly effective and
outperforms the PID controller in achieving a zero overshoot response and enhancing the output transient response
Step response comparison of proposed controllers with GA-PI-PD [21], SIMC-PID & H-Infinity [22], CDM-PID [23] and SA-PID & SA-PIDA [24].
Step response comparison of proposed controllers with GA-PI-PD [21], SIMC-PID & H-Infinity [22], CDM-PID [23] and SA-PID & SA-PIDA [24].</p
Documentación relativa al PID 52 (AProDiSER) - Curso 23-24
Documentación asociada al PID 52 del curso 23-24, con título: AProDiSER: Aprendiendo Procesado Digital de Señal con un Escape Roo
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Perbandingan Boost Converter Menggunakan Logika Fuzzy –PID dan Kontroler PID
Boost converter merupakan bagian terpenting dalam penggunaan photovoltaic yang
berfungsi untuk menstabilkan tegangan keluaran photovoltaic. Penelitian ini
membandingkan waktu steady state tegangan referensi pada boost converter menggunakan
pengendali PID dan logika fuzzy pengendali PID. Metode yang digunakan pada penelitian
ini adalah dengan cara mensimulasikan rangkaian boost converter menggunakan Simulink
Matlab. Pengujian dilakukan dengan memberikan tegangan masukan DC sebesar 12 V pada
boost converter dan tegangan referensi sebesar 24 V.
Pengendali yang digunakan pada penelitian ini adalah pengendali PID dan logika fuzzy
pengendali PID. Kondisi pengujian yang digunakan pada penelitian ini terdiri tiga tahap
yaitu perubahan pada tegangan masukan sebesar -25% sampai dengan +100% dari 12 V,
tegangan referensi sebesar +25% sampai dengan +100% dari 24 V, dan beban sebesar
+100% sampai dengan +400% dari 100 .
Hasil yang didapat dari penelitian ini adalah waktu yang dibutuhkan tegangan referensi
untuk mencapai steady state pada boost conveter lebih cepat menggunakan logika fuzzy
pengendali PID dibandingkan pengendali PID
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