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In the paper an application of IMC structure for electric drive with variable mechanical parameters is presented. The mechanical parameters changing as a function of motor shaft angle. The control system was used a neural inverse model trained on line by the modified algorithm RPROP. The collected results of simulation and experiment confirm the proper operation of the control system.
In this paper a self-tuning wavelet PID controller using wavelet networks is presented. The wavelet-based multiresolution PID controller was purpose by the ability of this controller is to provide good rejection to disturbances and smooth control signal. One of its disadvantages is that the tuning gains are in trial or error mode. A wavelet network to identify the system and to tune the gains of the...
This paper presents an adaptive control using radial-basis-function neural networks (RBFNNs) for a two-wheeled self-balancing scooter. A mechatronic system structure of the scooter driven by two dc motors is briefly described, and its mathematical modeling incorporating two frictions between the wheels and the motion surface is derived. By decomposing the overall system into two subsystems (yaw motion...
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