Sage Journals: Discover world-class research

Abstract

In order to improve the control performance of the multicontroller proposed by Guo and Jutan (Canadian Journal of Chemical Engineering, 79, 817-22, 2001), a single-neuron PID multicontroller scheme based on a radial base function neural network (RBFNN) is proposed in this paper. This scheme has four controllers, specifically a set-point controller, two load controllers and a proportional controller. These controllers may be designed independently to achieve good control performance for both set-point tracking and load rejection. In particular, the set-point controller and the load controller have been chosen as single-neuron PID controllers. The model parameters and the parameters of the two single-neuron PID controller are updated in real time. For simplicity, the feedforward controller can be chosen as a unity gain proportional controller. It guarantees physical realizability and provides complete compensation for measurable disturbance. The simulation results show that the single-neuron PID adaptive multicontroller scheme based on RBFNN is very effective and the controller is of relatively strong robustness.

Keywords

load rejection multicontroller RBFNN set-point tracking single neuron

Get full access to this article

View all access options for this article.

References

Casasent, D. and Chen, X. 2003: New training strategies for RBF neural networks for X-ray agricultural product inspection. Pattern Recognition 36, 535-547.

Fernandez de Canete, J. , Garcia-Cerezo, A. and Garcia-Moral, I. 1998: Direct control with radial basis function networks: stability analysis and application. Journal of Systems Architecture 44, 583-596.

Gong, C. and Hua, Z. 2002: The neuron control of RBF network on-line recognition. Process Automation Instrumentation, 23, 17-20.

Guo, B. and Jutan, A. 2001: Multicontroller scheme for load rejection and setpoint tracking. Canadian Journal of Chemical Engineering 79, 817-822.

Guo, B. and Jutan, A. 2003: A discrete double-controller-scheme for delayered processes with both load and set point disturbances. Transactions of Institute of Measurement and Control 25, 75-92.

Tian Yuchu and Gao Furong . 1998a: Double-controller scheme for separating load rejection from set-point tracking. Transactions of the Institute of Chemical Engineers 76, Part A, 445-450.

Tian Yuchu and Gao Furong . 1998b: Double-controller scheme for control of processes with dominant delayer. IEE Proceedings - Control Theory Application 145, 479-484.

Zhu, Z. X. and Jutan, A. 1994: Model identification and optimal stochastic control of a multivariable pressure tank system. Transactions of the Institute of Chemical Engineers 72, Part A, 64-71.