2019
DOI: 10.12928/telkomnika.v17i5.12807
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A new technique to reduce overshoot in pneumatic positioning system

Abstract: This paper presents a new approach for improving the performance of the pneumatic positioning system by incorporating a nonlinear gain function with observer system. System identification technique has been employed to represent the pneumatic system, while a model predictive control (MPC) with the observer system has been employed as the main controller to control the positioning of the system. The nonlinear gain function has been incorporated with the control strategy to compensate nonlinearities and uncertai… Show more

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Cited by 6 publications
(3 citation statements)
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“…Based on the convolution principle, the functional of F[x] can be described as (15) where * denotes the convolution while g(t) is the impulse response of the linear time-invariant system. Therefore, the Frechet derivative stated in ( 14) can be expressed as ( 16)…”
Section: Nonlinear Adaptive Pi Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…Based on the convolution principle, the functional of F[x] can be described as (15) where * denotes the convolution while g(t) is the impulse response of the linear time-invariant system. Therefore, the Frechet derivative stated in ( 14) can be expressed as ( 16)…”
Section: Nonlinear Adaptive Pi Controllermentioning
confidence: 99%
“…It then continued by the implementation of the pole-placement feedback controller and PI with bang-bang controller as discussed in [13] and [14], respectively. The study to control the IPA system was extended to predictive functional control (PFC) and model predictive control (MPC), such presented in [3][4][5]15]. Even though both the PFC and MPC offer good tracking potential and overshoot, but it highly asks for a complex control strategy.…”
mentioning
confidence: 99%
“…Quang, et al, [18], the design a motor of polysolemoid linear (PLM) in many aspects of material due to its operations, in which the motion is straight that it is provided directly witout actuators of mediate mechanical. Some methods of control for PLM focused on motor of rotation have been applied with commons on model by mathematic manner, but position, constraints of current and velocity which are significant in real syatem have been neglected.…”
Section: Introductionmentioning
confidence: 99%