Affiliations:
Department of Computer and Control Engineering, Qiqihar University, Heilongjiang, Qiqihar, China
Correspondence:
[*]
Corresponding author. Xu Fengxia, Department of Computer and Control Engineering, Qiqihar University, Heilongjiang, Qiqihar 161006, China. E-mail: rkm.iter@gmail.com.
Abstract: In this paper, based on a pole placement PID controller designed, a composite control of RBF and PD is proposed for the tracking control of nonlinear dynamic systems. The proposed scheme combines the stability of PD and the ability of the RBF to approximate any function with any precision, with the control-oriented nature of the U-model to achieve exact tracking of nonlinear plants. The proposed structure has a more general appeal than many other models, such as polynomial NARMAX (Nonlinear Autoregressive Moving Average with Exogenous inputs) model and the Hammerstein model, etc. In addition, the control law is shown to be more simplistic in nature. The effectiveness of the proposed scheme is demonstrated with the help of simulations for the pole placement PID controller and the controller without the Newton-Raphson algorithm.
Keywords: Nonlinear U model system, RBF neural networks, newton iteration, PD
