Abstract: The original bed temperature control system of the 450t/h CFBB (Circulating Fluidized Bed Boiler) at Baoding Thermal Power Plant adopted conventional PID control. Addressing the issues of slow response, frequent actuator actions, and significant wear in the original system, this paper proposes a fuzzy self-tuning PID technique. This method combines the operating parameters affecting bed temperature with the PID controller parameters to establish a fuzzy coarse-tuning mechanism, and then fine-tunes the PID controller parameters based on the actual system error and its rate of change. Simulation and actual operation results show that this method can effectively improve the dynamic quality of the system, enhance its anti-interference capability, solve existing problems, and provide a reference for the economical and stable operation of CFBB. Keywords: CFBB; bed temperature; conventional PID control; fuzzy self-tuning PID Abstract: The bed temperature primary control system of 450t/h CFBB in Baoding Cogeneration Power Plant is regulatory PID control. In order to solve the problem of slow response, frequent operation of actuator, biggish abrasion, this paper proposes the fuzzy self-tuning PID technique. This method can rectify online factors. Simulation and operation results show that the method is effective. This experience makes great reference for ensuring the economical and stable running of CFBB. Keywords: CFBB; bed temperature; regulatory PID control; fuzzy self-tuning PID Boilers No. 8 and No. 9 of Datang Baoding Thermal Power Plant are domestically produced DG450/9.81–1 type single steam drum, natural circulation, semi-open CFBB [1] manufactured by Sichuan Dongfang Boiler (Group) Co., Ltd. with the introduction of technology from Foster Wheeler Company of the United States. They adopt the XDPS–400 distributed control system of Shanghai Xinhua Control Engineering Co., Ltd., with conventional PID control as the main method. Since its commissioning in November 2002 and April 2003, the equipment has been operating normally overall, but there are problems such as slow response, frequent actuator action, and large wear. Conventional PID controllers are based on the accurate mathematical model of the controlled object, while fuzzy control does not require an accurate model of the controlled object and has strong adaptability [2]. For large CFBBs, it is a multivariable, correlated, nonlinear, time-varying and distributed parameter control object [3], and its accurate mathematical model is not easy to obtain. Therefore, in view of the above problems, this paper proposes to adopt fuzzy self-tuning PID technology, which still retains the PID controller in the control loop and uses fuzzy inference method as the self-tuning structure of conventional PID controller. Simulation and actual operation results show that this method can achieve better control effect. For details, please click: Application of Fuzzy Self-Tunneling PID in CFBB Bed Temperature Control