2012
DOI: 10.1017/s0001924000006977
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A hybrid fuzzy logic proportional-integral-derivative and conventional on-off controller for morphing wing actuation using shape memory alloy Part 1: Morphing system mechanisms and controller architecture design

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Cited by 57 publications
(33 citation statements)
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“…Trial and error process and other types of methods for tuning PID gains using meta-heuristic algorithms are available, as the genetic algorithm GA [16], the swarm particle optimization PSO [17,18], the Fruit Fly optimization algorithm [19]. Nonlinear methods such as fuzzy logic and neural network methods have also been applied to identification and control ( [20], [21]), hybrid fuzzy logic ( [22], [23]) real time optimization used on a morphing wing by [24]. Other parameter estimation and control methodologies were used and validated during flight tests ( [25]- [42]).…”
Section: Tracking Control With Lqr-pi Optimizationmentioning
confidence: 99%
“…Trial and error process and other types of methods for tuning PID gains using meta-heuristic algorithms are available, as the genetic algorithm GA [16], the swarm particle optimization PSO [17,18], the Fruit Fly optimization algorithm [19]. Nonlinear methods such as fuzzy logic and neural network methods have also been applied to identification and control ( [20], [21]), hybrid fuzzy logic ( [22], [23]) real time optimization used on a morphing wing by [24]. Other parameter estimation and control methodologies were used and validated during flight tests ( [25]- [42]).…”
Section: Tracking Control With Lqr-pi Optimizationmentioning
confidence: 99%
“…In the closed-loop configuration, the displacements were automatically determined as a function of the pressure readings from the wing upper surface [27,28]. In addition, two new controllers were developed; the first one was based on an optimal combination of the bi-positional and Proportional-Integral (PI) laws [29,30], while the second one was a hybrid fuzzy logic-PID controller [31,32]. The wind tunnel tests were performed in the 2 m × 3 ma t m o s p h e r i c closed circuit subsonic wind tunnel at NRC.…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear methods such as fuzzy logic and neural network methods have been applied for aircraft identification and control. 2,3 The nonlinear hybrid fuzzy logic control on a morphing wing was explored in Grigorie et al 4 and Popov et al 5 ). Due to its complexity in the aerospace industry, the determination of the robust FCS is usually carried out using linear methods applied on linear models, and it is further validated using nonlinear models.…”
Section: Introductionmentioning
confidence: 99%