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A platform for research: civil engineering, architecture and urbanism
Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes
https://orcid.org/0000-0001-7153-7997
Abstract Overhead cranes are widely utilized. The use of overhead cranes suffers from the natural sway of payloads. The sway deteriorates not only safety but also throughput. Under certain operating conditions, the sway exhibits double-pendulum motions. The motions complicate crane control. A fuzzy inference model is entitled ‘single-input-rule modules’ (SIRMs). The SIRMs based model is preferable because it can decrease the number of fuzzy rules. This paper develops a SIRMs based fuzzy controller for transport control of double-pendulum-type systems. The controller includes six SIRMs that are dynamically weighted. Genetic algorithm (GA) is adopted to tune some parameters of the controller. Compared with other three controllers, i.e., passivity-based controller, sliding-mode controller and input-shaping controller, simulation results are presented to show the performance and effectiveness of the SIRMs based fuzzy controller for transport control of double-pendulum-type systems.
Highlights The transport-control problem of double-pendulum-type systems is investigated. Design of six single-input-rule modules (SIRMs) for the problem is presented. Design of dynamic weights is presented to determine the priorities of the SIRMs. Comparisons are presented to show the control performance.
Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes
https://orcid.org/0000-0001-7153-7997
Abstract Overhead cranes are widely utilized. The use of overhead cranes suffers from the natural sway of payloads. The sway deteriorates not only safety but also throughput. Under certain operating conditions, the sway exhibits double-pendulum motions. The motions complicate crane control. A fuzzy inference model is entitled ‘single-input-rule modules’ (SIRMs). The SIRMs based model is preferable because it can decrease the number of fuzzy rules. This paper develops a SIRMs based fuzzy controller for transport control of double-pendulum-type systems. The controller includes six SIRMs that are dynamically weighted. Genetic algorithm (GA) is adopted to tune some parameters of the controller. Compared with other three controllers, i.e., passivity-based controller, sliding-mode controller and input-shaping controller, simulation results are presented to show the performance and effectiveness of the SIRMs based fuzzy controller for transport control of double-pendulum-type systems.
Highlights The transport-control problem of double-pendulum-type systems is investigated. Design of six single-input-rule modules (SIRMs) for the problem is presented. Design of dynamic weights is presented to determine the priorities of the SIRMs. Comparisons are presented to show the control performance.
Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes
https://orcid.org/0000-0001-7153-7997
Abstract Overhead cranes are widely utilized. The use of overhead cranes suffers from the natural sway of payloads. The sway deteriorates not only safety but also throughput. Under certain operating conditions, the sway exhibits double-pendulum motions. The motions complicate crane control. A fuzzy inference model is entitled ‘single-input-rule modules’ (SIRMs). The SIRMs based model is preferable because it can decrease the number of fuzzy rules. This paper develops a SIRMs based fuzzy controller for transport control of double-pendulum-type systems. The controller includes six SIRMs that are dynamically weighted. Genetic algorithm (GA) is adopted to tune some parameters of the controller. Compared with other three controllers, i.e., passivity-based controller, sliding-mode controller and input-shaping controller, simulation results are presented to show the performance and effectiveness of the SIRMs based fuzzy controller for transport control of double-pendulum-type systems.
Highlights The transport-control problem of double-pendulum-type systems is investigated. Design of six single-input-rule modules (SIRMs) for the problem is presented. Design of dynamic weights is presented to determine the priorities of the SIRMs. Comparisons are presented to show the control performance.
Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes
Qian, Dianwei (author) / Tong, Shiwen (author) / Lee, SukGyu (author)
Automation in Construction ; 65 ; 133-143
2015-12-27
11 pages
Article (Journal)
Electronic Resource
English
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