Modeling and Simulation of the Load Governing System of Steam Turbine

2021 ◽  
pp. 327-338
Author(s):  
Jagannath Hirkude ◽  
Sharven Kerkar ◽  
Mrinal Borkar
Keyword(s):  
Modeling And Simulation ◽  
Steam Turbine ◽  
Governing System

Application Study of the Intelligent Integration Fuzzy Control in Steam Turbine Governing System

2005 ◽  
Author(s):  
Guili Yuan ◽  
Tianhong Wang ◽  
Jizhen Liu ◽  
Zijie Wang
Keyword(s):  
Control System ◽  
Steady State ◽  
Nonlinear System ◽  
Fuzzy Control ◽  
Steam Turbine ◽  
High Speed ◽  
Process Time ◽  
Full Field ◽  
Governing System ◽  
State Error

Steam turbine governing system is a nonlinear system, both the oil motor and the electric-liquid converter contain the nonlinear loop, however, the control strategy of the steam turbine governing system still stay at the control with PID, but the tuner with PID based on the accurate model belongs to the linear control intrinsically, and it doesn’t adapt to the nonlinear object. Fuzzy control doesn’t need the accurate mathematical model of the object, which fit to the nonlinear system and possess a better robust performance, and its control mechanism conform to the human’s intuitivism description and thinking logic about the function of the control system. Furthermore, the control query table is available by off-line calculation, and the real-time performance is improved. Intelligent integration fuzzy control is adopted here, the fuzzy control adopted the fuzzy control algorithm of full-field with self-tuning factor, where the control regulation is illustrated by analyzing, and the expression is brevity, the algorithm is simple, prone to master and realize with computer, and has self-optimization. The integration adopt the intelligent integration control to eliminate the steady-state error and improve the accuracy of control system. The advantage of the fuzzy control and integration control is developed adequately. The simulation result enunciate that the performance of steam turbine governing system with intelligent integration fuzzy control designed here is better than witch with conventional PID control, carrying advantages such as small super-adjusting, high-speed response, short transition process time and no steady-state error and so on.

Experimental and Numerical Study on Pressure Losses and Flow Fluctuations in a High-Pressure Valve Assembly of Steam Turbine Governing System

2021 ◽  
Author(s):  
Vaclav Slama ◽  
Lukas Mrozek ◽  
Bartolomej Rudas ◽  
Martin Luxa ◽  
David Simurda ◽  
...  
Keyword(s):  
High Pressure ◽  
Steam Turbine ◽  
Numerical Study ◽  
Pressure Losses ◽  
Flow Fluctuations ◽  
Governing System ◽  
Valve Assembly
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