To address the problems of large data fluctuation and the difficulty of the accurate control of large climatic environment test chamber temperature with strong disturbances， the temperature structural composition， temperature control characteristics， and heat load disturbance source of test chamber temperature are analyzed. A dynamic fuzzy-proportional-integral-derivative-coordinated control algorithm for the cool-hot end temperature is proposed for the precise temperature control of large test chambers. The control principle and its specific algorithm are studied. The temperature data processing method used is Kalman filtering， and the control effect evaluation method is based on the Allan analysis of variance. Experimental results show that the deviation caused by thermal load disturbances in measuring temperature data can be effectively removed by Kalman filtering， reflecting the actual temperature change realistically. The control algorithm studied is compared with the traditional proportional-integral-derivative control algorithm， which has less temperature fluctuation and shorter steady-state system response time， and can be applied to the precise temperature control of large climate environmental test chambers.