The pneumatic muscle actuator is highly nonlinear system and it is difficult to control it using only a linear controller with fixed gains. The hybrid fuzzy adaptive control scheme with reference model was designed to control such actuator. It uses a multiplicative signal adaptation with a linear controller in the feedforward and a fuzzy controller in the adaptive feedback loop. In the paper there are presented some simulation results of this control. The nonlinear dynamic model of one-DOF actuator based on the advanced geometric muscle model was used in simulation.
CITATION STYLE
Meghanathan, N. (2015). Intelligent Systems in Cybernetics and Automation Theory. Advances in Intelligent System and COmputing, 348, 239–246. Retrieved from http://link.springer.com/10.1007/978-3-319-18503-3
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