Research on Dynamic Simulation of Gas Turbine Based on Ant Colony Algorithm

With the development of science and technology, especially the rapid development of computer technology, modeling and simulation are becoming increasingly important in various industrial fields. Using simulation technology to replace part of the real gas turbine engine test can greatly reduce the development cost and improve the development efficiency. In the energy field, in order to make the power plant with gas turbine technology as the core operate safely, train qualified operators, and improve the management level of gas turbine system operation, it needs to establish a real-time dynamic simulation system of gas turbine with fine mathematical model based on the performance of gas turbine. This paper uses ACO (Ant colony algorithm) to study. The algorithm uses a certain number of ants to solve the problem together, and the mobile path is used to represent the feasible solution set of the problem. The optimal solution is found through positive feedback, distributed cooperation and implicit parallelism. It has the characteristics of distributed computing, decentralized control and indirect communication between distributed individuals, and is easy to be combined with other optimization algorithms. Ant colony algorithm shows the ability to solve complex problems through the cooperation between simple individuals, and has been widely used to solve optimization problems. After research, the algorithm in this paper is effective and suitable for wide use.