Model Identification And Controller Design For An Electropneumatic Actuator System With Dead Zone Compensation

Sunar, Noorhazirah; Rahmat, M. F.; Ismail, Zool Hilmi; Faudzi, Ahmad Athif Mohd; Salim, Syed Najib Syed

doi:10.21307/ijssis-2017-682

Cited by 1 publication

(1 citation statement)

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“…A block-oriented nonlinear model is a model that consist a series of blocks that represent both memoryless nonlinearity and linear dynamic of the system based on input and output measurement of the system [15]. Extensive review revealed that a Hammerstein model is among the block-oriented nonlinear model of choice for modeling any system [16]- [20] and studies in [21]- [23] proved that a Hammerstein model can also be used to model the pneumatic actuator system.…”

Section: Introductionmentioning

confidence: 99%

Hammerstein Model Based RLS Algorithm for Modeling the Intelligent Pneumatic Actuator (IPA) System

Sulaiman

Rahmat

Faudzi

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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An Intelligent Pneumatic Actuator (IPA) system is considered highly nonlinear and subject to nonlinearities which make the precise position control of this actuator is difficult to achieve. Thus, it is appropriate to model the system using nonlinear approach because the linear model sometimes not sufficient enough to represent the nonlinearity of the system in the real process. This study presents a new modeling of an IPA system using Hammerstein model based Recursive Least Square (RLS) algorithm. The Hammerstein model is one of the blocks structured nonlinear models often used to model a nonlinear system and it consists of a static nonlinear block followed by a linear block of dynamic element. In this study, the static nonlinear block was represented by a deadzone of the pneumatic valve, while the linear block was represented by a dynamic element of IPA system. A RLS has been employed as the main algorithm in order to estimate the parameters of the Hammerstein model. The validity of the proposed model has been verified by conducting a real-time experiment. All of the criteria as outlined in the system identification's procedures were successfully complied by the proposed Hammerstein model as it managed to provide a stable system, higher best fit, lower loss function and lower final prediction error than a linear model developed before. The performance of the proposed Hammerstein model in controlling the IPA's positioning system is also considered good. Thus, this new developed Hammerstein model is sufficient enough to represents the IPA system utilized in this study.

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Section: Introductionmentioning

confidence: 99%