297 research outputs found

    PID control system analysis, design, and technology

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    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

    An Investigation On Imc Based Fuzzy Pid Controllers

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    Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2010Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2010Bu çalışmada, Dahili Model Kontrol Temelli Bulanık PID Kontrol Ediciler (DMKTBPID) için birtakım öz ayar kuralları ve Çok Bölgeli Öz Ayar Yöntemi önerilmiştir. Geliştirme işlemine temel olarak yakın geçmişte Bulanık PID kontrol ediciler için önerilmiş olan Dahili Model Kontrol yöntemi incelenmiştir. Bu kontrol stratejisinin performansı klasik PID kontrol edici ile kıyaslanmıştır. Bu çalışmalarda, DMKTBPID, klasik PID kontrol ediciye göre daha iyi sonuçlar vermiştir fakat bu kontrol edicinin yüksek mertebeli veya yüksek zaman gecikmeli sistemlerin kontrolü için birtakım geliştirmelere ihtiyaç duyduğu gözlenmiştir. Birtakım öz ayar kuralları oluşturulmuştur ve bu kurallar, Öz Ayarlı DMKTBPID kontrol ediciler kullanılarak zaman sabiti ve zaman gecikmesi çok geniş menzillerde değişen farklı proseslerin başarıyla kontrol edilebilmesi için gerekli öz ayar algoritmaları ve katsayılarını içermektedir. Gerçekleştirilen bir dizi simülasyon çalışması sonucunda elde edilen sonuçlara göre, Çok Bölgeli Öz ayarlı DMKTBPID kontrol edicinin öz ayarsız klasik DMKTBPID kontrol ediciye göre çok daha iyi performans sergilediği sonucuna ulaşılmıştır. Özellikle çok yüksek zaman gecikmesine sahip proseslerin kontrolünde Çok Bölgeli Öz Ayarlı DMKTBPID kontrol edicinin uzak ara daha başarılı sonuçlar sağladığı gözlenmiştir.In this study, certain self tuning algorithms and Multi-Region Self Tuning Method for Fuzzy IMC PID controllers have been proposed. As basis, recently proposed IMC based Fuzzy PID controller tuning technique is investigated. The performance of Fuzzy IMC PID controller has been compared with that of classical PID controller. Fuzzy IMC PID controller has demonstrated better results in general but seemed to need further improvement in controlling high order and high delay time processes. Some self tuning rules have been prepared and these rules include necessary self tuning algorithms and coefficients for controlling various kinds of processes, whose time delay and time constant properties vary in a very large range, by using Self Tuning Fuzzy IMC PID controller. Simulation results showed that, proposed Multi-Region Self Tuning Fuzzy IMC PID controller provided better results for all kinds of processes compared to Non-self tuning Fuzzy IMC PID controller. Especially for very high time delay processes, Multi-Region Self Tuning Fuzzy IMC PID performance was far more successful than that of its non-self tuning counterpart.Yüksek LisansM.Sc

    DIFFERENTIAL EVOLUTION FOR OPTIMIZATION OF PID GAIN IN ELECTRICAL DISCHARGE MACHINING CONTROL SYSTEM

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    ABSTRACT PID controller of servo control system maintains the gap between Electrode and workpiece in Electrical Dis- charge Machining (EDM). Capability of the controller is significant since machining process is a stochastic phenomenon and physical behaviour of the discharge is unpredictable. Therefore, a Proportional Integral Derivative (PID) controller using Differential Evolution (DE) algorithm is designed and applied to an EDM servo actuator system in order to find suitable gain parameters. Simulation results verify the capabilities and effectiveness of the DE algorithm to search the best configuration of PID gain to maintain the electrode position. Keywords: servo control system; electrical discharge machining; proportional integral derivative; con- troller tuning; differential evolution

    A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion

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    A novel self-organizing fuzzy proportional-integral-derivative (SOF-PID) control system is proposed in this paper. The proposed system consists of a pair of control and reference models, both of which are implemented by a first-order autonomous learning multiple model (ALMMo) neuro-fuzzy system. The SOF-PID controller self-organizes and self-updates the structures and meta-parameters of both the control and reference models during the control process "on the fly". This gives the SOF-PID control system the capability of quickly adapting to entirely new operating environments without a full re-training. Moreover, the SOF-PID control system is free from user- and problem-specific parameters and is entirely data-driven. Simulations and real-world experiments with mobile robots demonstrate the effectiveness and validity of the proposed SOF-PID control system

    Vibration suppression in multi-body systems by means of disturbance filter design methods

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    This paper addresses the problem of interaction in mechanical multi-body systems and shows that subsystem interaction can be considerably minimized while increasing performance if an efficient disturbance model is used. In order to illustrate the advantage of the proposed intelligent disturbance filter, two linear model based techniques are considered: IMC and the model based predictive (MPC) approach. As an illustrative example, multivariable mass-spring-damper and quarter car systems are presented. An adaptation mechanism is introduced to account for linear parameter varying LPV conditions. In this paper we show that, even if the IMC control strategy was not designed for MIMO systems, if a proper filter is used, IMC can successfully deal with disturbance rejection in a multivariable system, and the results obtained are comparable with those obtained by a MIMO predictive control approach. The results suggest that both methods perform equally well, with similar numerical complexity and implementation effort

    PH Control Using MATLAB

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    Internet based data logging and supervisory control of boiler drum level using LabVIEW

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    This work describes a framework of a Internet based data logging and supervisory control of boiler drum level system. The design and implementation of this process is done by the LabVIEW software. The data of the process variables (Temperature and Level) from the boiler system need to be logged in a database for further analysis and supervisory control. A LabVIEW based data logging and supervisory control program simulates the process and the generated data are logged in to the database as text file with proper indication about the status of the process variable (normal or not normal. Three different types of boiler drum level control system are designed in the Circuit Design and Simulation toolkit of LabVIEW. This work provides the knowledge about the Fuzzy Adaptive PID Controller and the various PID controller design methods such as Zeigler-Nichol method, Tyreus-Luyben method, Internal Model Control (IMC). Comparative study is made on the performance of the PID and Fuzzy Adaptive PID controller for better control system design. The internet plays a significant and vital role in the real time control and monitoring of the industrial process. Internet based system control and monitor the plant system remotely from anywhere without any limitation to any geographical region. Internet based boiler control system is developed by a Web Publishing tool in LabVIEW. The use of internet as a communication medium provides the flexible and cost- effective solution. Now, to analyse the performance of boiler drum level control system, Internet based data logging and supervisory control system is designed. Hence, anyone can control and monitor the boiler plant globally

    Fuzzy logic for thermal process

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    The main purpose of this project is to compare the performance of current proportional-integral-derivative (PID) method that widely used in industry with the Fuzzy Logic Control as an alternative
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