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This paper presents an improved nonlinear state error feedback control algorithm using immunity single neuron, aiming at the large amount adjustable parameters and tuning hard of anti disturbance controller. Depending on the self study ability of nerve network, we use the immunity single neuron to construct adaptive parameters to implement adaptively adjustment according to the change of system errors,...
Torque ripple in the motor always caused poor operation quality of the system. Here, has proposed a new way to suppress the torque ripple of the PMSM. In this paper, use the Iterative learning Control (ILC) in time domain with passive filter to weaken the Torque Pulsating. The ILC was used to suppress the periodic torque ripple as cogging torque, nonperfect sinusoidal flux density distribution and...
Has introduced a new model free adaptive control method, focusing on that the controlled objects of thermal power unit multi variable, strongly coupling, model parameters fiercely changes as the change of load, and presenting the transmission function model, structure graph and model free adaptive training method. It also does simulation study on a 300MW DC boiler of reheat steam turbine set, the...
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