Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System

The crane-form pipeline (CFP) system is a kind of petrochemical mechanical equipment composed of multiple rotating joints and rigid pipelines. It is often used to transport chemical fluid products in the factory to tank trucks. In order to realize the automatic alignment of the CFP and the tank mout...

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Main Authors: Baigeng Wang, Shurong Li
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/12/1800
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author Baigeng Wang
Shurong Li
author_facet Baigeng Wang
Shurong Li
author_sort Baigeng Wang
collection DOAJ
description The crane-form pipeline (CFP) system is a kind of petrochemical mechanical equipment composed of multiple rotating joints and rigid pipelines. It is often used to transport chemical fluid products in the factory to tank trucks. In order to realize the automatic alignment of the CFP and the tank mouth, the trajectory tracking control problem of the CFP must be solved. Therefore, a saturated nonsingular fast terminal sliding mode (SNFTSM) algorithm is proposed in this paper. The new sliding mode manifold is constructed by the nonsingular fast terminal sliding mode (NFTSM) manifold, saturation functions and signum functions. Further, according to the sliding mode control algorithm and the dynamic model of the CFP system, the SNFTSM controller is designed. Owing to the existence of saturation functions in the controller, the stability analysis using the Lyapunov equation needs to be discussed in different cases. The results show that the system states can converge to the equilibrium point in finite time no matter where they are on the state’s phase plane. However, due to the existence of signum functions, the control signal will produce chattering. In order to eliminate the chattering problem, the form of the controller is improved by using the boundary layer function. Finally, the control effect of the algorithm is verified by simulation and compared with the NTSM, NFTSM and SNTSM algorithms. From the comparison results, it is obvious that the controller based on the SNFTSM algorithm can effectively reduce the amplitude of the control torque while guaranteeing the fast convergence of the CFP system state error. Specifically, compared with the NFTSM algorithm, the maximum input torque can even be reduced by more than half.
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spelling doaj.art-e551d316fd204a52abcf19722ce2367c2023-11-24T14:43:11ZengMDPI AGEntropy1099-43002022-12-012412180010.3390/e24121800Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline SystemBaigeng Wang0Shurong Li1School of Artificial Intelligence, Beijing University of Posts and Telecommunications, 100876 Beijing, ChinaSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, 100876 Beijing, ChinaThe crane-form pipeline (CFP) system is a kind of petrochemical mechanical equipment composed of multiple rotating joints and rigid pipelines. It is often used to transport chemical fluid products in the factory to tank trucks. In order to realize the automatic alignment of the CFP and the tank mouth, the trajectory tracking control problem of the CFP must be solved. Therefore, a saturated nonsingular fast terminal sliding mode (SNFTSM) algorithm is proposed in this paper. The new sliding mode manifold is constructed by the nonsingular fast terminal sliding mode (NFTSM) manifold, saturation functions and signum functions. Further, according to the sliding mode control algorithm and the dynamic model of the CFP system, the SNFTSM controller is designed. Owing to the existence of saturation functions in the controller, the stability analysis using the Lyapunov equation needs to be discussed in different cases. The results show that the system states can converge to the equilibrium point in finite time no matter where they are on the state’s phase plane. However, due to the existence of signum functions, the control signal will produce chattering. In order to eliminate the chattering problem, the form of the controller is improved by using the boundary layer function. Finally, the control effect of the algorithm is verified by simulation and compared with the NTSM, NFTSM and SNTSM algorithms. From the comparison results, it is obvious that the controller based on the SNFTSM algorithm can effectively reduce the amplitude of the control torque while guaranteeing the fast convergence of the CFP system state error. Specifically, compared with the NFTSM algorithm, the maximum input torque can even be reduced by more than half.https://www.mdpi.com/1099-4300/24/12/1800crane-form pipelineinput saturationnonsingular fast terminal sliding modesignum functionchattering
spellingShingle Baigeng Wang
Shurong Li
Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System
Entropy
crane-form pipeline
input saturation
nonsingular fast terminal sliding mode
signum function
chattering
title Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System
title_full Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System
title_fullStr Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System
title_full_unstemmed Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System
title_short Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System
title_sort saturated nonsingular fast sliding mode control for the crane form pipeline system
topic crane-form pipeline
input saturation
nonsingular fast terminal sliding mode
signum function
chattering
url https://www.mdpi.com/1099-4300/24/12/1800
work_keys_str_mv AT baigengwang saturatednonsingularfastslidingmodecontrolforthecraneformpipelinesystem
AT shurongli saturatednonsingularfastslidingmodecontrolforthecraneformpipelinesystem