Nonlinear Control Logic for an Actuator to Morph a Wing: Design and Experimental Validation

Michel Joël Tchatchueng Kammegne, Hamdi Belhadj, Duc Hien Nguyen, and Ruxandra Mihaela Botez


Fuzzy Logic, Morphing Wing , Actuator, Modeling, Simulation , Control


This paper describes the design of a double control loop fuzzy logic position and torque controller for wing morphing using brushed DC motors as actuators. The DC motor is used in this application as an actuator to change the shape of a wing upper surface. To morph the wing with these actuators, a mechanical system coupled to the actuators is integrated in the wing. The fuzzy logic technique is used to design two controllers: one for the position and the other for the torque, to control the position and the torque of the each actuator. The controllers are validated numerically with Matlab/Simulink software, followed by a physical implementation of the control and experimental validation setup in the PRICE-PAÏDOUSSIS wind tunnel. The physical implementation is realized using a programmable power supply, the CPX400. The actuators are connected to the output of the power supply and the output of the torque controller, which is the command signal (voltage), is sent to the input of the programmable power supply. In addition to the design of the fuzzy controllers (position and current controller), their performance is compared to that of a Proportional Integral Derivative controller designed and experimentally tested in a previous approach.

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