Type-2 Fuzzy Sliding Mode Anti-Swing Controller Design and Optimization for Overhead Crane

Sun, Zhe; Bi, Yunrui; Ying, Chun; Tan, Shuhua

doi:10.1109/access.2018.2869217

Cited by 34 publications

(16 citation statements)

References 34 publications

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“…The membership function of Type-2 fuzzy sets is a fuzzy number being bounded in the interval [0-1]. The applications of Type-2 fuzzy sets were studied in many research pieces, such as [11][12][13]. Recently, in the field of decision-making, many studies can be mentioned like considering decision maker's psychological behavior [14], conveying insufficient and underdetermined information [15], developing Pythagorean fuzzy sets to increase the flexibility of fuzzy related problems [16], and supplier selection using interval type-2 fuzzy sets [17].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Assessment of Resilience Engineering in Process Industries Using Data Envelopment Analysis Based on Type-2 Fuzzy Sets

Namvar

Bamdad

2021

IEEE Access

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Process industries have the talent of emerging high levels of turbulent behaviors and uncertainties, such as the leakage of toxic substances and explosive materials. Resilience engineering, as a novel approach, can run the effects of such actions. Resilience engineering factors involve culture, change management, knowledge acquisition, risk assessment, readiness, plasticity, reportage, the obligation of a top manager, consciousness, safety procedures, incident survey, employee participation, and competence. The present study aims to investigate resilience engineering in process industries and analyze its efficiency using the data envelopment analysis (DEA) technique. Since there are high levels of uncertainty in the factors, Type-2 fuzzy sets that have a high capability of considering uncertainty is used to analyze the efficiency. The results of this work, which is the first case in evaluating the efficiency of resilience engineering in process industries by DEA and Type-2 fuzzy sets, indicate a robust approach for analyzing the efficiency and identifying the opportunities in process industries.INDEX TERMS Process industries, resilience engineering, data envelopment analysis, Type-2 fuzzy sets.

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Section: Introductionmentioning

confidence: 99%

Efficiency Assessment of Resilience Engineering in Process Industries Using Data Envelopment Analysis Based on Type-2 Fuzzy Sets

Namvar

Bamdad

2021

IEEE Access

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“…A crane consist of a hoisting mechanism and a support mechanism [4]. As one of the important transportation equipments, cranes are successfully applied in diverse elds for the heavy cargoes transportation [5]. In fact, each crane model is controlled with a dedicated control algorithm that cannot be modified, accessed, or replaced at runtime [6].…”

Section: Introductionmentioning

confidence: 99%

A Crane Robot of Three Axes Dimensional Using Trajectory Planning Method

Pangaribowo

Hajar

Andika

et al. 2020

International Journal of Advanced Technology in Mechanical, Mec

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This study aims to design a crane robot that has good performance with good stability, good accuracy in the gripper clamping the object at the point of balance and reach the target location well. The crane controller is installed with US-100 ping sensor and proximity infrared sensor to detect position of object. The robot crane moves on the x , y and z axes or in three dimensions using motors as actuator and it can be adjusted with motor drive. The crane moves on the x and y axes using DC motor and z axis using servo motor. The crane automatically moves when it detects an object. The crane's movement uses the trajectory determination method by maintaining speed. Finally, the average accuracy of the gripper clamping exactly at the midpoint of the object is 93%. The length of the object when it is clamped has an accuracy of 95%. The performance of the crane robot is evaluated to transfer an object to the destination location takes 11 seconds with a track length of 86.055 cm

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“…Compared with the trajectory planning methods, closed-loop feedback control methods exhibit better performance in terms of external disturbances and parameter uncertainties. 11−30 In Sun et al, 12 the output feedback control method is designed assuming that the speed signals are not obtained. Ramli et al 13 assumes viscous damping and proposes a composite control scheme for bridge cranes with lifting/lowering payloads.…”

Section: Introductionmentioning

confidence: 99%

“…In Zhang et al, 15−23 adaptive and sliding mode control methods are proposed to tackle external disturbances or system uncertainties. What is more, several other efficient control methods have also been adopted, including model predictive control, 24 optimal control, 25−28 intelligent control, 29,30 and so on.…”

Section: Introductionmentioning

confidence: 99%

An anti-sway positioning control method via load generalized position tracking with disturbance observer

Niu

Zhu

Chen

et al. 2020

Measurement and Control

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The bridge crane system is widely used in the industrial production for transporting large loads. Its anti-sway positioning control is quite crucial for enhancing handling efficiency and safety, but it is also difficult due to underactuated dynamics and various disturbances. In this paper, an anti-sway positioning control algorithm for unmanned crane is proposed based on the load generalized position tracking control algorithm (GPTC), which combines with a disturbance observer to effectively reject the lumped disturbances. The test results show that the proposed method can effectively achieve anti-sway and positioning with prominent disturbance suppression improvements.

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Type-2 Fuzzy Sliding Mode Anti-Swing Controller Design and Optimization for Overhead Crane

Cited by 34 publications

References 34 publications

Efficiency Assessment of Resilience Engineering in Process Industries Using Data Envelopment Analysis Based on Type-2 Fuzzy Sets

Efficiency Assessment of Resilience Engineering in Process Industries Using Data Envelopment Analysis Based on Type-2 Fuzzy Sets

A Crane Robot of Three Axes Dimensional Using Trajectory Planning Method

An anti-sway positioning control method via load generalized position tracking with disturbance observer

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