In this paper, an effective adaptive tracking control approach is constructed for the sixth-order induction
motor model which is in discrete-time form. The fuzzy logic systems (FLSs) are applied to estimate a
control law and used to a block strict feedback form (BSFF) which is in existence of bounded
disturbances. Then, a desired optimal control can be achieved. Depend on the Lyapunov analysis
approach, for the considered system, the stability is guaranteed, the tracking error can be ensured to a
small neighborhood around zero, and the weight estimates can be insured to semi-global uniformly
ultimately bounded (SGUUB). An advantage for the controlled system is that the proposed algorithm
needs only less parameters which is different from the existing results, therefore, it can reduce the
calculation amount. The practicality of the scheme is verified via a simulation.
In this paper, an effective adaptive tracking control approach is constructed for the sixth-order inductionmotor model which is in discrete-time form. The fuzzy logic systems (FLSs) are applied to estimate acontrol law and used to a block strict feedback form (BSFF) which is in existence of boundeddisturbances. Then, a desired optimal control can be achieved. Depend on the Lyapunov analysisapproach, for the considered system, the stability is guaranteed, the tracking error can be ensured to asmall neighborhood around zero, and the weight estimates can be insured to semi-global uniformlyultimately bounded (SGUUB). An advantage for the controlled system is that the proposed algorithmneeds only less parameters which is different from the existing results, therefore, it can reduce thecalculation amount. The practicality of the scheme is verified via a simulation.
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