Parameter Identification for Electromechanical Servo Systems Using a High-gain Observer
نویسندگان
چکیده
In this paper, a High-gain Observer (HGO)-based identification technique is used to identify the parameters for electromechanical servo systems. The HGO is used for estimating the system states, disturbances due to uncertainty or parameter changing, and output noise. Then, a new model is presented using QR factorization. The estimated observer states show good agreement with the system actual states for noise free and bounded noisy input/output systems. Using model simulations and real-time input-output data gathered from a noisy electromechanical servo system, experimental study is made. It is shown that HGO-based parameters identification has better performance in bounded noise environment compared with the subspace algorithm.
منابع مشابه
Time-delay in high-gain observer based disturbance estimation
In this paper, the properties of a high gain observer-based disturbance estimation are analysed, and a time delay calculation approach is proposed for improving the identification of model parameter variation. The focus of this paper is the time delay between the actual disturbance and its estimate in a high gain disturbance estimation observer. It is proved, in this paper, the delay depends on...
متن کاملDesign Servo System Type and Positioning of Pole Observer Full Rank a Piezoelectric Servo Valve without Integrator
In this paper, the method of modern control approach for the design of controller and observer is used. Other functions such as neural controllers - or fuzzy sliding mode control can be found in this work and the results are compared. First, a dynamic model of the servo valve is intended for the governing equations in state-space form expression are obtained. Due to the system integrator is exp...
متن کاملIdentifying dynamic model parameters of a servo drive
An off-line identification method based on the least-squares approximation technique is applied for identifying of electromechanical parameters of a servo drive model. The proposed identification method solves a problem of experimental data automatic obtaining with angular velocity limitation and angle limitation. The developed algorithm can be automatically adjusted during its work to achieve ...
متن کاملAdaptive output feedback controller for a class of uncertain nonlinear systems
Abstract: This paper addresses the problem of asymptotic tracking of an arbitrary smooth bounded reference output sequence in the presence of step like disturbances for a class of uncertain nonlinear multi-outputs systems, namely systems that could be described by the usual lower triangular representation thanks to an appropriate state transformation. These performances are shown to be achieved...
متن کاملObserver Based Fuzzy Terminal Sliding Mode Controller Design for a Class of Fractional Order Chaotic Nonlinear Systems
This paper presents a new observer based fuzzy terminal sliding mode controller design for a class of fractional order nonlinear systems. Robustness against uncertainty and disturbance, the stability of the close loop system and the convergence of both the tracking and observer errors to zero are the merits of the proposed the observer and the controller. The high gain observer is applied to es...
متن کامل