Combination of fuzzy adaptive control system for d

The fuzzy adaptive control system of the drum water level of the auxiliary boiler of the oil tanker combines the analysis of the characteristics of the drum water level of the auxiliary boiler of the oil tanker, establishes its mathematical model, combines the fuzzy reasoning with the conventional PID regulator, designs the fuzzy latch adaptive control system, makes full use of the fuzzy reasoning characteristics, and achieves the daily trimming of the control parameters of the PID regulator. With the help of MATLAB/Simulink simulation software, taking the auxiliary boiler of a 60000 ton oil tanker as an example, the simulation and comparative study of several simulation control systems is carried out. The results show that the fuzzy adaptive control system has the characteristics of small overshoot, fast noise speed, few fluctuations, good stability, strong anti-interference ability and good robustness

boiler is an important part of marine power plant. In the steam power plant, the marine boiler is called the main boiler, and the steam it produces is used to drive the main engine of the ship (such as steam turbine). Its evaporation capacity is high, and the steam pressure is high, so the control requirements for water level and steam pressure are relatively strict. The boiler used in internal combustion power plant is called auxiliary boiler. The steam produced by the auxiliary boiler of the oil tanker should heat the cargo oil and drive the deck equipment. The evaporation capacity and steam pressure are relatively high, and its working characteristics are close to that of the main boiler. Therefore, it is difficult to meet the requirements with general two position control

the task of boiler drum water level control is to make the water supply track the evaporation of the boiler, and maintain the water level in the drum within the allowable range of the process to ensure the safe operation of the boiler. This is not only a necessary condition for the safe and economic operation of the boiler, but also one of the main indicators for the abnormal operation of the boiler. If the water level is too high, the steam water separation effect in the steam drum will be affected, and the back method will be confiscated, which will increase the salt content of saturated steam and affect the steam quality. If the water level is too low, it may damage the harmony with suppliers, sellers and end customers, including some weak links in the steam water circulation system of natural circulation boilers, resulting in local water cooling, pipe wall damage, and even explosion accidents in serious cases

with the rapid development of computer technology, the degree of automation is getting higher and higher. Various control methods and means are not required, which can be shown by simulation. Conventional PID control has the characteristics of overshoot and long transition time. The fuzzy PID control rule is better, the overshoot is small, and even the overshoot can be realized, but the response speed is slow. It is proposed that the fuzzy PID control method is used to control the boiler drum water level, which improves the response speed and can quickly reach the steady state, so that the performance of the system can be improved by impacting the low-temperature tank of the experiment. References have proposed that using fuzzy PID parameter self-adjusting control method to control boiler drum water level has the advantages of flexible fuzzy control and strong adaptability, and also has the characteristics of high PID control accuracy. Fuzzy immune adaptive PID control has fast response speed, small overshoot and strong robustness to model error. References have proposed that MATLAB simulation results show that domestic socket enterprises have achieved good dynamic and static performance and robustness by using PID control method to control boiler drum water level in order to improve product price competitiveness