Loading...
Search for: recursive-least-squares
0.007 seconds
Total 26 records

    Non-Stationary stabilized fast transversal RLS filter for online power system modal estimation

    , Article IEEE Transactions on Power Systems ; Volume 34, Issue 4 , 2019 , Pages 2744-2754 ; 08858950 (ISSN) Setareh, M ; Parniani, M ; Aminifar, F ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Online monitoring of inter-area oscillations is a vital need for secure operation of large-scale power systems. This paper aims at online estimation of inter-area modes by a novel stabilized fast transversal recursive least squares (SFTRLS) filter running on ambient power system data received from phasor measurement units. The SFTRLS filter is a fast finite-impulse response adaptive filter that is widely used in communication applications, such as noise and echo cancelation. It has the lowest computational complexity among least-squares filters and directly calculates coefficients of the parametric model selected for identifying a system under study. In the proposed method, the SFTRLS filter... 

    An analytic methodology to determine generators redispatch for proactive damping of critical electromechanical oscillations

    , Article International Journal of Electrical Power and Energy Systems ; Volume 123 , 2020 Setareh, M ; Parniani, M ; Aminifar, F ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    This paper presents a model-based method for applying online proactive generators redispatch to improve damping of the critical electromechanical oscillations of power system. The proposed method comprises two stages: 1) monitoring modal characteristics of oscillatory modes in ambient condition, and 2) applying generators redispatch based on sensitivities of the critical mode to the generators active power changes using a new analytic method. An online identification method such as error feedback lattice recursive least square adaptive filter is applied for online estimation of the oscillatory modes. Then, whenever the damping ratio of an identified mode is less than a preset threshold, its... 

    Geometry control of the deposited layer in a nonplanar laser cladding process using a variable structure controller

    , Article Journal of Manufacturing Science and Engineering, Transactions of the ASME ; Volume 130, Issue 3 , 2008 , Pages 0310031-03100311 ; 10871357 (ISSN) Fathi, A ; Khajepour, A ; Durali, M ; Toyserkani, E ; Sharif University of Technology
    2008
    Abstract
    This paper presents a closed-loop laser cladding process used in nonplanar deposition of desired metallic materials. In the proposed system, the deposited layer geometry is continuously controlled via a sliding mode controller (SMC). The controller, which uses the scanning speed as the control input, is designed based on a parametric Hammerstein model. The model is a parametric dynamic model with several unknown parameters, which are identified experimentally using the recursive least squares method. The designed SMC is robust to all model parameters' uncertainties and disturbances. The results showed that the tracking accuracy improves and the chattering effect reduces if an integrator on... 

    Indirect adaptive control of discrete chaotic systems

    , Article Chaos, Solitons and Fractals ; Volume 34, Issue 4 , 2007 , Pages 1188-1201 ; 09600779 (ISSN) Salarieh, H ; Shahrokhi, M ; Sharif University of Technology
    2007
    Abstract
    In this paper an indirect adaptive control algorithm is proposed to stabilize the fixed points of discrete chaotic systems. It is assumed that the functionality of the chaotic dynamics is known but the system parameters are unknown. This assumption is usually applicable to many chaotic systems, such as the Henon map, logistic and many other nonlinear maps. Using the recursive-least squares technique, the system parameters are identified and based on the feedback linearization method an adaptive controller is designed for stabilizing the fixed points, or unstable periodic orbits of the chaotic maps. The stability of the proposed scheme has been shown and the effectiveness of the control... 

    Adaptive modeling of laser powder deposition process for control and monitoring application

    , Article JVC/Journal of Vibration and Control ; Volume 13, Issue 5 , 2007 , Pages 461-473 ; 10775463 (ISSN) Durali, M ; Fathi, A ; Khajepour, A ; Toyserkani, E ; Sharif University of Technology
    2007
    Abstract
    The laser powder deposition (LPD) process is an advanced material processing technique with many applications. Despite this fact, reliable and accurate control schemes have not yet been fully developed for the process. In this paper, identification of the LPD process is examined to find a more accurate model to predict and control the height of clad in real time. The model is adaptive single inputsingle output (SISO) and its structure is very similar to the Hammerstein model when the effective power (a function of laser power and velocity) is selected as the input and the clad height as the output. Weighted extended recursive least square (WERLS) is adopted to simultaneously estimate the... 

    Structural Health Monitoring using Bayesian Optimization of the finite element model of structures and Kalman filter

    , M.Sc. Thesis Sharif University of Technology Sadegh, Alireza (Author) ; Bakhshi, Ali (Supervisor)
    Abstract
    With confidence in the recorded observations, the RLS method no longer estimates the recorded measurements by sensors, i.e. the displacement and speed of the floors, and only estimates the parameters. In contrast, in the EKF method, in addition to estimating the structure's parameters, a more precise estimation of the observations recorded by the sensors has been done by accepting the noise in the recorded observations. These methods, which are based on the Bayesian updating, investigate the two primary sources of uncertainty in a problem: a) measurement noise or observation noise, and b) process noise, which includes modeling errors. In these methodologies, the unknown system parameters,...