Abstract
Mathematical models and their parameters are essential when designing controllers because they allow the designer to predict the closed loop behavior of the system. An accurate method for estimating the DC Motor-Gear-Alternator (MGA) system parameters is needed before constructing the reliable model. This paper proposed a new method of parameter estimation using Matlab/Simulink parameter estimation tool via Step Response Methodology. Optimization algorithms including the nonlinear least square, Gradient Descent, Simplex Search and Pattern Search are discussed. Simulink Design Optimization automatically estimated parameters of the MGA model from measured input-output data.
Highlights
Errors in parameter values can lead to poor control and instability
The main purpose of most System parameter estimation is to develop a mathematical model that fully describes an underlying physical system which can be used to predict both the response of the system to disturbance and the design advantage which might be obtained from modification of the system [2]
A number of methods for system parameter estimation [4,5,6,7,8,9,10,11] can be applied to MGA model identification
Summary
Errors in parameter values can lead to poor control and instability. accuracy and adequacy of parameters identification are too major modeling issues that always have to be dealt with [1]. The main purpose of most System parameter estimation is to develop a mathematical model that fully describes an underlying physical system which can be used to predict both the response of the system to disturbance and the design advantage which might be obtained from modification of the system [2]. This mathematical model can be used to explain the behavior of the system and to predict its response to various inputs at different conditions [3]. Since motors with low rotating speed and high torque are used often in control systems, the gear train is often adopted to increase the speed and reduce the torque
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