Proportional Band

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D. Patranabis - One of the best experts on this subject based on the ideXlab platform.

  • A Self-Tuning Controller Based on PI Algorithm
    Iete Journal of Research, 1993
    Co-Authors: R Bandyopadhyay, Subhankar Bandyopadhyay, D. Patranabis
    Abstract:

    A simple self-tuner algorithm based on the tuning of the Proportional Band of a conventional Proportional Integral mode action is proposed. The algorithm, based on intuitive reasoning as adopted by process experts is simpler than many of its type specially from the viewpoint of implementation on a 8 or 16-bit microprocessor. It has been tested in a stable second order process model as also in an actual second order thermal process. Test results show that the proposed algorithm has an edge over its conventional discrete counterpart even when the latter is perfectly tuned.

P. Zeung - One of the best experts on this subject based on the ideXlab platform.

  • Fast convolution technique using a nonuniform sampling scheme: Algorithm and applications in audio signal processing
    AES: Journal of the Audio Engineering Society, 2004
    Co-Authors: M.r. Bai, P. Zeung
    Abstract:

    Convolution is one of the key operations in signal processing and control. Despite its importance, convolution is also known to be a computationally expensive process such that direct implementation in the time domain becomes prohibitive for various real-time applications. To overcome the difficulties encountered in convolution using long filters, and efficient method based on a nonuniform sampling scheme is proposed. This method exploits the Proportional-Band property of human hearing and seeks an optimal design of an exponentially sampled finite impulse response (FIR) filter, in accord with a Proportional-Band frequency-domain template. To justify the proposed technique, experiments were carried out for two audio signal processing applications: head-related transfer functions (HRTFs) and reverberators. Using the proposed method, the memory requirement as well as the computation loading can be reduced drastically without any significant degradation in performance. Although the implementations using the proposed fast convolution technique are distinguishable from direct convolution, the listening tests reveal satisfactory and pleasant impressions.

Hardy Ferrysian Logiani - One of the best experts on this subject based on the ideXlab platform.

  • ANALISIS KINERJA SISTEM PENGENDALI LEVEL DI CONDENSER DENGAN IDENTIFIKASI SISTEM KALANG TERTUTUP (STUDI KASUS DI CONDENSER PEMBANGKIT LISTRIK TENAGA PANAS BUMI UNIT IV PT.PERTAMINA GEOTHERMAL ENERGY AREA KAMOJANG)
    2014
    Co-Authors: Hardy Ferrysian Logiani
    Abstract:

    System Identification is a method for determining the dynamic model of a system from input and output measurements of the system. Knowing a model system is needed to design and implement control systems with optimal performance. System identification is an experimental approach for determining the dynamic model of a system. Based on the results of closed-loop identification with algorithm closed-loop output error (CLOE) condenser system plant model is obtained and the control valve is of second order system. Analysis of responses transient and steady state of model in a closed loop system with exciting controller in the plant showed a fast oscillating with a settling time 4.28 seconds, peak time 3.58 seconds, rise time 0.756 seconds and no error steady state. Re-tuning control system gives the best results in response system using Proportional-integral controller (PI) with the principle of ISE. The aim of re-tuning is to find the controllers constant that provides optimum performance and gives safety of the system especially in the actuator and the final element. Simulation results using MATLAB software shows the settling time of 24.7 seconds, peak time 3.57 seconds, rise time of 1.03 seconds and no steady state error occured. Controller constants the results of the re-tuning Proportional Band (K) is 260.34%, integral time (Ti) is 0.36 seconds and the time derivative (Td) 0 seconds.

S. Tsunoi - One of the best experts on this subject based on the ideXlab platform.

  • Method for process modeling and PID tuning using fPRID
    SICE 2003 Annual Conference (IEEE Cat. No.03TH8734), 2003
    Co-Authors: S. Tsunoi
    Abstract:

    fPRID is newly developed software designed to estimate time constant and dead-time of the process and to evaluate the PID tuning parameters, namely Proportional Band, integral time, and derivative time. This article provides an introduction on how process modeling and process simulation for feedback controllers can be executed using closed-loop measured data.

T A Folorunso - One of the best experts on this subject based on the ideXlab platform.

  • Modelling of Dynast Simulator to Controlling Speed in a DC Motor using Proportional Integral Derivative Controller
    American Scientific Research Journal for Engineering Technology and Sciences, 2015
    Co-Authors: James Agajo, N Okoro Patience, Akande Akinyinka Olukunle, T A Folorunso
    Abstract:

    Modelling of DYNAST simulator to controlling speed in a DC motor using Proportional integral derivative controller is work aimed at designing, analyzing, and modeling of a DC motor speed control using Proportional Integral Derivatives Controller (PID). It entails how a PID controller can be used to achieve a desired speed response in a dc motor speed control. It presents a detailed simulation of how this PID controller and technology is added to the DC motor speed control with their varying parameters for desired response. Using the Dynast Shell Simulator shows the hardware and it sub system in their simulated platform without the use of complex equations to achieve your aim. This paper relates the place of PID technology in the present control discipline, how it reduces and eliminates errors in the control processes using Dynast Shell Simulator, it came up with a  designs of dc motor speed control with and without PID. The work demonstrated that with Proportional Band at k p =100, an k i =200, the controller output is Proportional to the error or a change in measurement (depending on the controller).