Modeling and Simulation of an Industrial Two-Shaft Gas Turbine for the Purpose of Controller Design by Employing Invasive Weed Optimization Method

摘要

In power industries, the need for an appropriate model within the process of control system design along with the importance of condition monitoring and reducing maintenance costs, increase the demand for development of an accurate model capable of estimating engine dynamic behavior under different working conditions. In this study, an industrial two-shaft gas turbine is modeled and simulated in the Matlab-Simulink environment and a multi-loop controller is designed for it. For this purpose, first, a thermodynamic model of the engine capable of predicting its performance at full and part load conditions is presented. A fuel control system based on min-max control strategy is devised and its parameters are modified utilizing Invasive Weed Optimization algorithm as a powerful global optimization technique. The performance of suggested model in steady-state condition is validated against the data published by the manufacturer and the results obtained confirmed the reliability of the model and its capability in simulating the gas turbine's actual behavior. In order to study the controller's ability in maintaining desired rotational speed of the power turbine shaft, sharp load variations are exerted to the model and the controller's functionality in wide load ranges is analyzed. According to the results, the proposed controller is capable of meeting the expectations.