This article deals with reconstructing chaotic arractor through Freescale digital signal processor 56800 family. The system is designed to be used in the mechatronics applications for simulating dynamic‘s states of prothetic‘s knuckle. This conception fully supplants chaotic analog circuits. and Obsahuje seznam literatury
A method for identification of mechanical parameters of an asynchronous motor is presented in this paper. The identification method is based on the use of our knowledge of the system. This paper clarifies the method by using the example identifying of mechanical parameters of the three-phase squirrel-cage asynchronous motor.A model of mechanical subsystem of the motor is presented as well as results of simulation. The special neural network is used as an identification model and its adaptation is based on the gradient descent method.The parameters of mechanical subsystem are derived from the values of synaptic weights of the neural identification model after its adaptation. Deviation of identified mechanical parameters in the case of moment inertia was up to 0.03% and in the case of load torque was 1.45% of real values.
The paper deals with applicability of the program SNAP on drive systems analyses. That program should be utilized especially in education of electric and mechatronic drive experts. and Obsahuje seznam literatury