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Aiming at nonlinearity and large dead-time of object to enhance dynamic quality of closed-loop system, this paper applies single neuron PID controller based on supervised Hebb learning algorithm, combined with correction of actual weighting coefficient, utilizes adaptive and self-learning ability of single neuron, tunes weights of controller and compensate for delay time, in order to improve its dynamic...
The miniature unmanned helicopter exhibits a complex and nonlinear dynamic behavior, open- loop unstable and a high degree of inter-axis coupling. This paper describes a hybrid PID velocity control method based on single neuron for an unmanned helicopter. This method possesses both the simple structure of PID controller, and adjusting papameters on-line by intelligent technique. The application results...
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