Title :
An approach of DC driving system neural control by inverting forward model
Author :
Palade, Vasile ; Puscasu, Gheorghe ; Neagu, Daniel-Ciprian
Author_Institution :
Fac. of Electr. Eng., Dunarea de Jos Univ. of Galati, Romania
Abstract :
This paper proposes a method of inverting a neural network which represents the forward model of a process. The inverting method can be used in inverse neural control and neural model-based control structures, where an inverse model of the process is required. The method is tested on a DC motor control problem. The forward neural model of the DC motor is developed, and the controller output is calculated by online inversion of the forward model.
Keywords :
DC motor drives; control system analysis; control system synthesis; machine control; machine theory; neurocontrollers; DC driving system neural control; DC motor control problem; control design; control simulation; inverse neural control structure; neural model-based control structure; neural network inversion; process forward model; Control system synthesis; Control systems; Inverse problems; Motor drives; Neural networks; Nonlinear control systems; Process control; Supervisory control; Testing; Three-term control;
Conference_Titel :
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN :
0-7803-6290-X
DOI :
10.1109/MELCON.2000.879965
