|
Abstract: An approach of self-learning fuzzy sliding-mode control ,
which uses the fuzzy logic systems to approximate sliding-mode
equivalent control, is presented for the tracking control of a class of
systems with the nonlinear and parameter uncertainties. The fuzzy
control rules are updated through on-line learning, which make the
output of fuzzy control approach sliding-mode equivalent along the
direction of making sliding-mode asymptotic stable. The asymptotic
stability of self-learning fuzzy sliding-mode control systems is proved
based on Lyapunov theory. The proposed method is applied to an
electrohydraulic servo systems, the results of simulation and experiment
of real-time control show that the proposed method is distinctly
excelled than that of conventional sliding-mode control and satisfied
control precision and stability can be obtained.
Key words: Self-learning fuzzy sliding-mode control
Electrohydraulic servo systems Simulation and experiment
CLC No: TP271
山西省自然科学基金资助项目(20001054).
Received 20030129, received in revised form 20030730
|