Direct Search Method Based On An Improved Random Number On The Superheated Steam Temperature Control

The power industry of most countries in the world, has been dominated by fire power plant, and has a leading position in domestic electric power industry. At present, the control of Superheated steam temperature has many different measures, especially, since the advanced control theory produced, a lot of intelligent control methods appeared. The PID control, because of the control structure and algorithm are simple and easy to implement, widely applicable, also, have good control effect and robustness, remains the most extensive control strategy in the industrial control applications.In this study, the thermal control system of thermal power boilers, and thermal analysis of superheated steam temperature system control tasks, and introduces the two main steam temperature control system. Superheated steam temperature control with the importance and its dynamic performance, in the existing method of superheated steam temperature control there is inadequate, the introduction of a control theory based on satisfactory multi-objective optimization ideas, and the integration of this idea to Direct search algorithm of random numbers, random number of the traditional direct search algorithm to improve the objective function, the traditional random direct search PID parameter tuning, the use of the time integrals of the product with absolute error ITAE as the target evaluation function, although it In the PID parameter tuning algorithm is often used, but does not mean it is perfect, this paper multi-objective optimization theory is satisfied, based on the proposed evaluation function. PID parameter tuning in the direct search algorithm of random numbers, with the comprehensive objective evaluation function as the evaluation function to replace the traditional methods of objective evaluation function, the objective function after replacement of the improved algorithm is called Direct search method of random numbers.Thesis, improved the number of direct search method of random thermal power plant thermal system of the superheated steam temperature control, get better control effect. First in the MATLAB simulation environment to verify the improved algorithm tuning PID parameter optimization feasibility and advantages of the theory; then use simulations instead of actual thermal plate system, developed in the laboratory with advanced control of boiler actual simulation platform The experimental results show the use of the improved random search method for thermal power plants direct superheated steam temperature control of superheated steam temperature can get a good stability, solved due to the instability of superheated steam temperature control to bring to the thermal power plant Security risks, but also the economic benefits of reduced loss of thermal power plants. Therefore, the improved random search algorithm for direct thermal thermal superheated steam temperature control system of great reference value and a good practical value.