Proceedings ArticleDOI
Model-free fuzzy control of twin rotor aerodynamic systems
Raul-Cristian Roman,Radu-Emil Precup,Mircea-Bogdan Radac +2 more
- pp 559-564
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TLDR
This paper suggests data-driven Model-Free Control algorithms based on the combination of Takagi-Sugeno fuzzy (TSF) and intelligent proportional-integral (iPI) controllers, which are designed to control Single Input-Single Output (SISO) control structures for azimuth and pitch position control of a nonlinear twin rotor aerodynamic system (TRAS).Abstract:
This paper suggests data-driven Model-Free Control (MFC) algorithms based on the combination of Takagi-Sugeno fuzzy (TSF) and intelligent proportional-integral (iPI) controllers. The new MFC algorithms are referred to as mixed TSF-iPI controllers, which are designed to control Single Input-Single Output (SISO) control structures for azimuth and pitch position control of a nonlinear twin rotor aerodynamic system (TRAS). The mixed TSF-iPI controllers are designed by fuzzifying the proportional-derivative term in the iPI controller structure. The performance of the SISO control structures with mixed TSF-iPI controllers and iPI controllers is compared by means of real-time experiments conducted on a TRAS laboratory equipment using controllers tuned in terms of a metaheuristic Gravitational Search Algorithm optimizer.read more
Citations
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Hybrid data-driven fuzzy active disturbance rejection control for tower crane systems
TL;DR: The least-squares algorithm specific to Virtual Reference Feedback Tuning is replaced with a metaheuristic optimization algorithm, i.e. Grey Wolf Optimizer, to exploit the advantages of data-driven control and fuzzy control.
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Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems
TL;DR: A second-order data-driven Active Disturbance Rejection Control (ADRC) is merged with a proportional-derivative Takagi-Sugeno Fuzzy (PDTSF) logic controller, resulting in two new control structures referred to as ADRC–PDTSFC.
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Adaptive Model-Free Control Based on an Ultra-Local Model With Model-Free Parameter Estimations for a Generic SISO System
TL;DR: Two simulation studies are presented to show that the proposed adaptive MFC (AMFC) policy outperforms the two well-known controllers.
Proceedings ArticleDOI
Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations
TL;DR: This topic is addressed here via a new model-free control setting, where the need of any mathematical description disappears, and several convincing computer simulations are presented.
References
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Journal ArticleDOI
Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot
TL;DR: The application of Ant Colony Optimization and Particle Swarm Optimization on the optimization of the membership functions' parameters of a fuzzy logic controller in order to find the optimal intelligent controller for an autonomous wheeled mobile robot is described.
Journal ArticleDOI
Fuzzy controllers: synthesis and equivalences
Sylvie Galichet,Laurent Foulloy +1 more
TL;DR: The aim of this paper is to show how to automatically build this fuzzy controller, and the proposed design methodology is detailed for the synthesis of a Sugeno or Mamdani type fuzzy controller precisely equivalent to a given PI controller.
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An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
TL;DR: The generic theory is discussed along with illustrative industrial process applications that include a real liquid level control application, wind turbines and a nonlinear servo system and nature-inspired optimal control.
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Time Windows Based Dynamic Routing in Multi-AGV Systems
TL;DR: The proposed dynamic routing method for supervisory control of multiple automated guided vehicles that are traveling within a layout of a given warehouse has been successfully implemented in the industrial environment in a form of a multiple AGV control system.
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Decision support and control for large-scale complex systems
TL;DR: Several advanced solutions such as mixed knowledge systems, that combine numerical methods with AI-based tools, and the prospects of using Ambient Intelligence concepts in DSS construction are described.