In this paper

a new adaptive fuzzy sliding mode control is used to deal with complex chemical process with multivariable nonlinear and non-minimum phase systems.This method for sliding mode control has good robustness

but existing the chattering problems of controller output.The fuzzy control is used to soften the control signal and simple the fuzzy control

with the combination of sliding mode control can make full use of the system information.By adopting a new adaptive fuzzy factor to adjust proportional variable domain

the control signal is softened and reduces the output chattering of sliding mode controller.Meanwhile

the fuzzy sliding mode control algorithms and stability analysis are given; simplified general fuzzy rule is got.To make the control system has strong robustness

better adaptive ability and high control precision by using the scaling factor to adjust input amount of domain and rules of membership functions on line.Finally

the results of simulation experiment on nonlinear SISO and MIMO chemical models show that even big changes or heavy interference is happened in its operation points; the control system still has good disturbance and strong robustness.