Dynamic Modeling of Steam Condenser and Design of PI Controller Based on Grey Wolf Optimizer

By Shu-Xia Li, Jie-sheng Wang. 2015

54 citations recorded by the source corpus.

Shell-and-tube condenser is a heat exchanger for cooling steam with high temperature and pressure, which is one of the main kinds of heat exchange equipment in thermal, nuclear, and marine power plant. Based on the lumped parameter modeling method, the dynamic mathematical model of the simplified steam condenser is established. Then, the pressure PI control system of steam condenser based on the Matlab/Simulink simulation platform is designed. In order to obtain better performance, a new metaheuristic intelligent algorithm, grey wolf optimizer (GWO), is used to realize the fine-tuning of PI controller parameters. On the other hand, the Z-N engineering tuning method, genetic algorithm, and particle swarm algorithm are adopted for tuning PI controller parameters and compared with GWO algorithm. Simulation results show that GWO algorithm has better control performance than other four algorithms.

Subfields: Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/6d1af511db5a9c141b661471a8df302d7e55e9ef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Mohammed Azmi Al-Betar
2. Seyedali Mirjalili
3. Hossam Faris
4. Ibrahim Aljarah

In Mechanical Engineering

1. Mohammed Azmi Al-Betar
2. Seyedali Mirjalili
3. Hossam Faris
4. Ibrahim Aljarah

Citations in the corpus

• Grey wolf optimizer: a review of recent variants and applications (2017, methodology): “Li and Wang [66] used GWO for optimizing the parameters of a PI controller of a closed-loop condenser pressure control system.”