title: A neural network regulator for turbogenerators.
abstract: A neural network (NN) based regulator for nonlinear, multivariable turbogenerator control is presented. A hierarchical architecture of an NN is proposed for regulator design, consisting of two subnetworks which are used for input-output (I-O) mapping and control, respectively, based on the back-propagation (BP) algorithm. The regulator has the flexibility for accepting more sensory information to cater to multi-input, multioutput systems. Its operation does not require a reference model or inverse system model and it can produce more acceptable control signals than are obtained by using sign of plant errors during training I-O mapping of turbogenerator systems using NNs has been investigated and the regulator has been implemented on a complex turbogenerator system model. Simulation results show satisfactory control performance and illustrate the potential of the NN regulator in comparison with an existing adaptive controller.
authors.affiliation: Dept. of Electr. Eng., Queen's Univ. of Belfast.
authors.forename: Q H
authors.initials: QH
authors.lastname: Wu
authors.forename: B W
authors.initials: BW
authors.lastname: Hogg
authors.forename: G W
authors.initials: GW
authors.lastname: Irwin