System identification and predictive functional control for electro-hydraulic actuator system

2015 ◽  
Author(s):  
N.H. Izzuddin ◽  
Ahmad 'Athif Mohd Faudzi ◽  
Mohd Ridzuan Johari ◽  
Khairuddin Osman
Keyword(s):  
System Identification ◽  
Hydraulic Actuator ◽  
Predictive Functional Control ◽  
Actuator System ◽  
Functional Control

Electro-Hydraulic Actuator System Control via Pole Assignment Controler and Minimum Variance Controller

2015 ◽  
Vol 735 ◽  
pp. 265-272
Author(s):  
Sazilah Salleh ◽  
Mohd Fua'ad Rahmat ◽  
Siti Marhainis Othman
Keyword(s):  
System Identification ◽  
Minimum Variance ◽  
Pole Assignment ◽  
System Model ◽  
System Control ◽  
Hydraulic Actuator ◽  
Output Data ◽  
Precise Control ◽  
Output Performance ◽  
Actuator System

Precise control is necessary in controlling electro-hydraulic actuator system (EHAS). However due to its nonlinearities and uncertainties, controlling hydraulic actuator system had become a challenging task that need to be solved. A proper controller can be designed when an accurate model of a system is defined. In this paper, the process to obtain an EHAS system’s model by using system identification approached is presented. System identification is chosen because this technique only requires input and output data from system in order to obtain system model. An ARX model is chosen as a model structure for EHAS. A pole assignment controller and minimum variance controller (MVC) is later been designed based on the obtained model. The simulation result shows that both controllers manage to regulate at the desired input signal. However MVC controller prove to provide a better output performance compared to pole assignment controller by minimizing the phase lagging and having a better rise time.

scholarly journals Adaptive Predictive Functional Control of X-Y Pedestal for LEO Satellite Tracking Using Laguerre Functions

2021 ◽  
Vol 11 (21) ◽  
pp. 9794
Author(s):  
Reza Dadkhah Tehrani ◽  
Hadi Givi ◽  
Daniel-Eugeniu Crunteanu ◽  
Grigore Cican
Keyword(s):  
System Identification ◽  
Satellite Tracking ◽  
Identification Algorithm ◽  
Laguerre Functions ◽  
Point Change ◽  
Nonlinear Characteristics ◽  
Predictive Functional Control ◽  
Functional Control ◽  
Adaptive Control Algorithm ◽  
Leo Satellite

In this paper, Predictive Functional Control (PFC) is used for X-Y pedestal control for LEO satellite tracking. According to the nonlinear characteristics of the X-Y pedestal and pedestal model variation caused by its operating point change, the use of system identification algorithm, which is based on special types of orthonormal functions known as Laguerre functions, is presented. This algorithm is combined with PFC to obtain a novel adaptive control algorithm entitled Adaptive Predictive Functional Control (APFC). In this combination, Laguerre functions are utilized for system identification, while the PFC is the control law. An interesting feature of the proposed algorithm is its desirable performance against the interference effect of channel X and channel Y. The proposed APFC algorithm is compared with Proportional Integral Derivative (PID) controller using simulation results. The results confirm that the proposed controller improves the performance in terms of the pedestal model variations; that is, the controller is capable of adapting to the model changes desirably.

Application of Draw Wire Sensor in the Tracking Control of An Electro Hydraulic Actuator System

2015 ◽  
Vol 73 (6) ◽  
Author(s):  
Sazilah Salleh ◽  
Mohd Fua’ad Rahmat ◽  
Siti Marhainis Othman ◽  
Hafilah Zainal Abidin
Keyword(s):  
System Identification ◽  
Input Signal ◽  
Low Cost ◽  
Minimum Variance ◽  
Test Bed ◽  
Hydraulic Actuator ◽  
Output Displacement ◽  
Identification Technique ◽  
Self Tuning ◽  
Actuator System

A draw wire sensor is considered as a contact measurement method. It is normally used to measure the speed and position of a system. A draw wire sensor is convenient especially when a low cost solution and a small sensor dimension are desired. The objective of this paper is to describe the application of draw wire sensor in control tracking of electro hydraulic actuator system. This research started with the modelling of electro hydraulic actuator system by using system identification approach. During the data taking process, an experiment is conducted using electro hydraulic actuator test bed. A draw wire sensor is attached to the load of electro hydraulic actuator system to measure the output displacement when the system is injected with the desired input signal. Draw wire sensor is measuring the output displacement in millimeters and then the signal is converted to voltage reading regarding to the given input signal. The input and output signal is collected and is used in system identification technique to obtain the best mathematical model that can represent the electro hydraulic actuator system. Once a model is obtained, a Self Tuning Controller (STC) with Generalize Minimum Variance Control (GMVC) strategy is designed to control the tracking performance of the electro hydraulic actuator system. The designed controller is tested in simulation and experiment mode. Then, the output result from both modes is compared. The results show that the output performance from both modes are almost similar. Thus, this research had shown that a draw wire sensor has a significant role in capturing an accurate output data from electro hydraulic actuator system even with or without the controller.

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