Abstract: The paper proposed a design scheme of intelligent temperature control system of combustion chamber of limekiln. The system takes temperature of lower combustion chamber as control objective and gas flow as adjusting object, uses fuzzy neural network to dynamically adjust setting value of gas flow, uses particle swarm optimization algorithm to achieve optimization of parameters of the fuzzy neural network, and uses inverse control system of the least squares support vector machine to track and control gas flow, and it achieves precise control of temperature of the combustion chamber of limekiln. The simulation result showed that the system has fast response, good stability, strong anti-interference ability and robustness.