2021
DOI: 10.51662/jiae.v1i2.18
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ARX, ARMAX, Box-Jenkins, Output-Error, and Hammerstein Models for Modeling Intelligent Pneumatic Actuator (IPA) System

Abstract: A pneumatic actuator is highly nonlinear, which makes the precise position control of this actuator difficult to achieve. In order to achieve precise control, selecting a suitable model structure is a prerequisite before control estimation. This selection of the model structure is based upon an understanding of the physical systems. In this paper, the black-box model is chosen as a system identification model for modeling position control of an Intelligent Pneumatic Actuator (IPA) system and a variety of param… Show more

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Cited by 6 publications
(5 citation statements)
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“…If the injector nozzle pressure is higher than standard, replace the injector shim with a lower thickness value and vice versa [17]. There are several performance parameters of the Diesel Engine (Compression Ignition Engine), including Brake Power (BP), torque (T), Specific Fuel Consumption (SFC), Brake Thermal Efficiency (ὴB) and others [24,25,26].…”
Section: Methodsmentioning
confidence: 99%
“…If the injector nozzle pressure is higher than standard, replace the injector shim with a lower thickness value and vice versa [17]. There are several performance parameters of the Diesel Engine (Compression Ignition Engine), including Brake Power (BP), torque (T), Specific Fuel Consumption (SFC), Brake Thermal Efficiency (ὴB) and others [24,25,26].…”
Section: Methodsmentioning
confidence: 99%
“…However, pneumatic systems have a significant downside, namely, their non-linear behavior due to the compressibility of air, friction between the piston and cylinder, and discontinuous flow through control valves [6,7]. Additionally, modeling these systems dynamically is challenging because their air dynamics are often based on empirical assumptions [8]. Achieving precise positioning of pneumatic actuators is also challenging.…”
Section: Introductionmentioning
confidence: 99%
“…System identification (SI) differs from the theoretical approach by relying on observational analysis, rather than fundamental laws of nature, to determine its concepts. SI is a method that can be used to model systems and estimate unknown parameters, as well as to linearize systems to mitigate the limitations of mathematical models [8]. Moreover, this approach proves particularly suitable for complex systems or processes, especially within real-world, practical settings.…”
Section: Introductionmentioning
confidence: 99%
“…In the iterative approach, several strategies have been proposed, such as Artificial Neural Network [11] [12], iterative algorithm [13], genetics algorithm, ANFIS, Fuzzy Logic, evolution algorithm (EA) [14] [15], and iterative algorithm [16] [17]. The geometric approach offers a simpler calculation such as repetitive basic inverse kinematics of a two-link [18], the angular deflection of the upper platform concerning the lower platform [19], a non-iterative geometric approach for inverse kinematics [20], and a modified modal method [21] [22].…”
Section: Introductionmentioning
confidence: 99%