Optimization and Development of Marine Engineering Technology Based on Intelligent Control

Since the steam turbine unit is the main part of the whole propulsion system, its normal operation is directly related to the safety of the whole ship system. Therefore, it is necessary to introduce an optimization scheme into the design of the unit to improve the safety, reliability, operability and rational layout of the unit. This paper aims to study the optimization and development of hydraulic turbine engineering technology based on intelligent control. On the basis of analyzing the characteristics and working principle of the water turbine, an improved particle swarm optimization algorithm is proposed, and the differential evolution algorithm is introduced into the basic particle swarm optimization algorithm to obtain an improved particle swarm optimization algorithm. Subsequently, this paper establishes a mathematical model of a ship's steam turbine, and designs its high-pressure steam turbine and low-pressure steam turbine. Finally, the improved particle swarm optimization algorithm is used to optimize the design of the ship turbine under the specific structure and characteristic constraints, with the minimum weight as the objective function. The experimental results show that the weight of the turbine is significantly reduced after the optimization method is selected, which proves the effectiveness of the improved particle swarm optimization algorithm for the optimization of the turbine.