Nonlinear Adaptive PID Decoupling Controller Based on Multiple Models
For a class of nonlinear discrete-time systems with strong coupling, a multivariable adaptive PID decoupling control strategy based on multiple models is proposed without the balance point parameters of the systems as given conditions. It consists of a fully adaptive PID decoupling controller, a parameter-reassigned adaptive PID decoupling controller and a set of parameter-fixed PID decoupling controllers, and a switching mechanism. Theoretical analysis showed that among the three different kinds of decoupling controllers the first one can guarantee the bounded-input-output(BIBO) stability for the closed-loop-system and the rest used to improve the system performance via choosing the switching functions rationally.
multiple modelsneural networkadaptivePID(proportional integral differential)decoupling