System Identification in Hydraulic Servo System with Diagonal Recurrent Neural Networks
نویسنده
چکیده
This paper points out that the Diagonal Recurrent Neural Networks (DRNN) can deal with the dynamical system more effectively. We use this neural networks to identify the hydraulic servo system dynamical performance .The adjustment of weight is the algorithm that take time varied into account. The simulation results and experiments testified that this method could rapidly and exactly get the dynamical performance.
منابع مشابه
System Identification and Neural Network Based Pid Control of Servo - Hydraulic Vehicle Suspension System
This paper presents the system identification and design of a neural network based Proportional, Integral and Derivative (PID) controller for a two degree of freedom (2DOF), quarter-car active suspension system. The controller design consists of a PID controller in a feedback loop and a neural network feedforward controller for the suspension travel to improve the vehicle ride comfort and handl...
متن کاملResearch of the Electro-hydraulic Servo System Based on RBF Fuzzy Neural Network Controller
This article describes the composition and working principle of electro-hydraulic position servo control system, and establishes a systematic mathematical model. This article presents a controller which is based on Fuzzy neural networks for an electro-hydraulic speed governor. The design process of the RBF Fuzzy neural network control is introduced in detail. This controller which combines the ...
متن کاملFault Detection and Severity Analysis of Servo Valves Using Recurrence Quantification Analysis
This paper presents the application of recurrence plots (RPs) and recurrence quantification analysis (RQA) in model-based diagnostics of nonlinear systems. A detailed nonlinear mathematical model of a servo electro-hydraulic system has been used to demonstrate the procedure. Two faults have been considered associated with the servo valve including the increased friction between spool and sleeve...
متن کاملVelocity Control of Electro Hydraulic Servo System by using a Feedback Error Learning Method
In this paper, a new control method based on FEL electro hydraulic servo control withnonlinear flux and internal friction, has been presented. The new approach based oncontrollers combined by a classic PD controller and a fuzzy controller is smart. This newtechnique has a good ability to control the performance and stability. Simulations have beencarried out in Matlab environment and the result...
متن کاملDistillation Column Identification Using Artificial Neural Network
 Abstract: In this paper, Artificial Neural Network (ANN) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. The actual input-output data of the system were measured in order to be used for system identification based on root mean square error (RMSE) minimization approach. It was shown that the designed recurrent neural network is able to pr...
متن کامل