In this paper we develop linear, fixed-order (i.e., fulland reduced-order) pressure rise feedback dynamic compensators for axial flow compressors. Unlike the nonlinear static controllers proposed in the literature possessing gain at all frequencies, the proposed dynamic compensators explicitly account for compressor performance versus sensor accuracy, compressor performance versus processor thr...

In this paper, we develop linear fixed-order (i.e., fulland reduced order) pressure rise feedback dynamic compensators for axial flow compressors with throttle valve actuation. Unlike the nonlinear static controllers proposed in the literature possessing gain at all frequencies, the proposed dynamic compensators explicitly account for compressor performance versus sensor accuracy, compressor pe...

The paper presents the neuro-fuzzy controller algorithm for air conditioning system. Neuro-fuzzy control combines the learning capabilities of neural networks and control capabilities of fuzzy logic control. The neurofuzzy controller for air conditioning system takes two inputs from temperature and humidity sensors and controls the compressor speed. The experimental results of the developed sys...

the present sought to draw a comparison between model predictive control performance and two other controllers named simple pi and selective pi in controlling large-scale natural gas transport networks. a nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in simulink® environment of matlab®. control schemes were designed to provide a s...

This study adopts the centrifugal compressor system which produces the nitric acid equipment in China Petrochemical Development Corporation’s Plant. The system is non-linear and its manufacturing process is changeable, which the traditional PID (Proportional-Integral-Differential) control method is difficult to apply. This study is intended to apply the artificial neural network method to test ...

The air compressor provides not only the required pressure air for the cooling equipment and refrigeration plant, but also the raw material required for the air separation plant. Utilizing the air compressor is extremely extensive in many significant departments such as the metallurgy, oil and chemical industry. The air compressor production process is a time-varying, delay and nonlinear comple...

Active controllers that allow the compressor to operate safely at its peak pressure rise point by preventing surge and controlling entry into rotating stall need to be globally stabilizing. Bifurcation methods have emerged as a useful tool for the analysis of global stability and control of nonlinear dynamical systems such as the axial compressor. In this paper we show how bifurcation analysis ...

This paper analyses a multi-compressor system for its performance failures and subsequent improvements. The logbook data of this system has been obtained. Data has been classified using various state-of-art data classification techniques. This paper presents a comparative analysis of Fuzzy clustering algorithm, Hard-c-means clustering and Gustafson-Kessel clustering algorithm. Data clustering e...

In this paper, an optimal control for gas turbine and compressor system using fuzzy logic, genetic algorithms have been suggested. Gas turbine compressor system is most widely used in chemical industries. The primary objective of this kind of setup is to control the flow rate of high pressure steam. Different controller architecture has been taken up to control the flow of gas. Firstly, a conve...

A new dual fuzzy controller for the nonlinear model of the compression system is proposed in this paper. The surge phenomenon in the centrifugal compressor, the non-linearities and uncertainties of the compression system make it impossible to use a conventional controller over a wide range of operation. This fuzzy controller is designed to consist of a active surge control and phase control wit...