Research On New Technique Of Simulated Evolution For Thermodynamic System

Aiming at the energy situation in China, this paper analyzed the problem in thermodynamic control systems, to improve the safety, reliability and economical efficiency of thermodynamic systems, and to reduce pollution, this paper Bring the simulated evolution theory into the research on thermal dynamic to solve the optimization problem in thermodynamic control systems. Firstly, this paper deeply studied the simulated evolution theory, demonstrated the feasibility of resolving the optimization problems in the thermodynamic control systems with simulated evolution theory, and through the analysis of the calculability of this theory, created the general frame of the simulated evolution algorithm and created the theoretical base for building the evolution optimizing architecture of thermodynamic control systems. Genetic Programming was adopted to carry out the self-adaptive modeling of practical thermodynamic controlled objects. On this base, an evolution optimizing architecture of thermodynamic control systems was firstly proposed, the on-line optimizing problems of thermodynamic control systems were settled and the composing, working process, characteristics and concrete realizing procedure of the architecture were analyzed. Aiming at the common control strategies and control methods of the thermodynamic control systems, this paper carried out the optimization emulation research with the simulated evolution theory; this paper also made the emulation research and the experimental study of the evolution optimizing architecture of the thermodynamic control systems with the practical thermodynamic systems as research objects, and finally verified the feasibility and applicability of the architecture. Based on the furnace chamber flame monitoring system, this paper designed and analyzed a combustion control system with the main steam pressure as the primary adjusting parameter and the total radiant energy of the furnace chamber as the subsidiary parameter, and compared the advantages of the system with emulation research and the experimental test. Then a combustion evolution optimizing system based on the radiant energy measuring was built, economical boiler combustion adjustment was carried out, under the combined action of a controller based on fuzzy self -optimizing of fumeoxygen content and the total furnace chamber radiant energy and a controller based on the evolution optimizing of the air/coal rate, then the combustion optimizing control was accomplished. As a burgeoning optimizing theory, the simulated evolution optimizing theory is just now being studied. The work of this paper greatly enriched the categories of the thermodynamic system optimizing theory and the thermal dynamic theory. Bring the simulated evolution theory into thermodynamic systems has very important meanings for increasing the operation efficiencies of thermodynamic systems and the utilization ratio of equipment and decreasing pollution.