Optimize Fuzzy PID Control Of Chilled Water Cycle System In The CCHP System Based On Improved PSO Algorithm

On this day in the 21 st century, energy as most basic power to push forward the world and promote global economic rapid growth, also is the foundation of our human beings to survive on this earth. The scientists estimate that about 2050, global oil resources will be exhausted, so if it failed to establish a new energy system, which will cause a series of problems, and even will cause a new round of world energy war. So as a major development direction of distributed energy, CCHP system emerge as the times require carrying such a mission.CCHP system is a combined system of energy cascade utilization, is composed of four subsystems, which are power system, heating system, cooling system and the control system. The CCHP system as an integrated system, because of its complex structure, so this paper is aiming at studying the chilled water control system of the cooling part accounted for the largest energy consumption in CCHP system in detail.In general, the control system was designed by using the control device to make the object according to the operation of a scheduled rule. Chilled water circulation system of the air conditioning system in CCHP, the commonly used control methods are PID control, fuzzy control, artificial neural network intelligent control and some joint control method. Therefore, in view of the large lag and large inertia characteristics of the air conditioning chilled water variable flow control system, through the analysis and research on the existing methods of the control system, because PSO algorithm has the advantages of simple structure, fast operation speed and strong search capability, so this paper proposes an improved PSO algorithm to optimize chilled water cycle system’s fuzzy PID control system in the CCHP system, the control system greatly improve the precision of the chilled water control system and all kinds of performance.When we design the air conditioning chilled water control system of the CCHP system in detail, we first of all, the most simple and the conventional PID control method and the new fuzzy control is gradually thorough, after determining the mathematical model of chilled water system, fuzzy PID control system of chilled water system overall design, the first is the selection of control variable and quantitative, followed by the design of the control system of the corresponding fuzzy rule base, and then according to the corresponding fuzzy reasoning method to determine the final output of control system. In addition, in order to further improve the performance of the chilled water control system, we use the improved PSO algorithm to further optimize fuzzy PID control system of chilled water cycle system in the CCHP system, eventually improve the robustness of the control system, the lag and sensitivity.Finally, under the SIIMULINK environment of the simulation software MATLAB R2014 a, we establish three simulation model for chilled water control system, namely the conventional PID control, fuzzy PID control and fuzzy PID control method based on improved PSO algorithm. The simulation results show that, using PSO algorithm optimize the fuzzy PID control system of the chilled water circulation system in overshoot, rise time, settling time was ahead of the other two kinds of control mode.