Aiming at the problem of low control precision and sensitivity caused by the large number of nodes in fuzzy rule layer,a fractional order controller based on improved fuzzy control algorithm was designed.Adopting the interval type-2 fuzzy logic system，the reduced order process of the system was used to demystify the set and calculate the suitable switching point,so the iterations number was reduced.On this basis,by using the improved RBF fuzzy neural network algorithm structure,the original three-layer antecedent network was added to four-layer,and the parameters of the three-layer antecedent network and the consequent network were modified layer by layer,so the weight function was enhanced and the optimal control control was realized.The results show that by using the controller,the step response curve is smooth,the control temperature is stable, the difference with the target temperature is only 0.01 ℃;the overshoot is only 1.3%,the overshoot and the adjustment time are small,and the control ability is strong;its robustness,sensitivity,complementary sensitivity,parameter tracking ability are high, and the time-domain response ability is good, by which the effective control of the controlled target can be realized.