Improvement of gas turbine speed control using design of multi-variable control based on Loci frequency characteristic, Kalman filter and inverse Nyquist array

Finite increasing utilization of gas turbines in various industries, especially in the oil and gas industries is important for moving large pumps, supplying the required energy and off-grid areas. Gas turbine is regarded as a rotary machine, which operates based on the energy of combustion gases. The automatic gas turbine system has: a highly nonlinear dynamics with high interactions between the input and output channels so that cannot be controlled without a controller. Therefore, its control requires multivariate controller design techniques. Considering the availability of the transformation matrix model and the nonlinear model, the linear model is available around the system equilibrium point. In this system, the most important issue is the investigation of external disturbances and sensor noise emissions and the elimination or reduction of their destructive effects. In fact, disturbances can be assumed to be uncertain in the system and design a robust multi -variable control. Therefore, the main objective of this paper is the design of three multivariate nonlinear controllers with Loci frequency characteristic method, Kalman filter recursive retrieval, and the inverse Nyquist array method to eliminate the interaction effects and precise control of closed loop system. The results of simulation suggest that the proposed control systems have been well-designed to control the gas turbine system and reduce the effect of the interaction and external disturbances

Keywords:

Automatic Gas Turbine System , Multivariate Nonlinear Controller , Robust Control , Inverse Nyquist Array Method , Loci Frequency Method , Kalman Filter