< The control of steam's pressure is the key link of boiler power plant, its control performances influence the rotate speed of steam turbine directly. Boiler steam's pressure has the characteristics of time-varying, nonlinearity, large inertia and large hysteresis. The traditional PID control method does not have the ability of self-adaptability, and it is difficult to meet the system's
< 2010-7-14 · One may also invokes neural network and wavelet toolboxes for the development of the hybrid models of the system within this simulator. Several parts of the basic power plant such as boiler, steam turbine, condenser, feed water system, furnace, steam
2015-11-25 · KEY WORDS: simulation main steam temperature,PID,BP neural network, MATLAB II ． PID MATLAB [M]．：
< 2015-11-25 · KEY WORDS: simulation main steam temperature,PID,BP neural network, MATLAB II ． PID MATLAB [M]．：
< In turn the efficiency of the boiler Neural Network, Fuzzy logic, Genetic Algorithm and Neuro- depends on several operating parameters, and superheated Fuzzy control system has changed the whole scenario of steam temperature is one amongst them, which is very control systems as
< 2019-8-25 · Second-order sliding mode fault-tolerant control of heat recovery steam generator boiler in combined cycle power plants Neural-Network-Based Decentralized Adaptive
< Inverse Dynamic Neuro-Controller for Superheater Steam Temperature Control of a Large -BASED INVERSE An Elman neural network can be created and trained according to the back-propagation algorithm with MATLAB Neural Network Toolbox. Control simulation tests have been carried out on a full-scope simulator of the USC boiler-turbine
< In thermal power plant the three element boiler drum is used. In the boiler drum, during the conversion of feedwater into steam, the level should be maintained and controlled properly. For controlling purpose the PID controller is used and the tuning of controller parameter controller is done manually. In the proposed method PID controller is
< Control quality of an once-through boiler's water-fuel ratio (WFR) and main-steam temperature are heavily influenced by the control quality of the once-through boiler's intermediate point enthalpy (IPE), and it is also related to the economic and stable operation of the a once-through boiler.
< A simplified non-linear model which was suitable for the controller design for coordinated control system of a once-through boiler-turbine unit was developed with reasonable
< 2016-2-20 · 4 K. Jagatheesan et al.: Ant colony optimization algorithm based PID controller In recent years, several controllers have been developed for regulation of the power system operation and parameters (frequency and tie-line power ﬂow) within the speciﬁed or scheduled value [3, 7–11, 14, 15, 26]. To achieve better dynamic response in multi-/ single area power systems, controllers have been
< 2015-6-5 · Real Time Monitoring and Controlling of Boiler Drum Parameters in Thermal Power Station Implementation of soft sensor in neural network estimate process data using self organizing neural network. Here basic there will be a carryover of water particles in the dry steam flowing to the turbine and thus the turbine blade damage is expected.
< After the neural network inverse system model of high precision has been established, a neural network inverse controller can be designed to realize inverse control of the original system. 3.2 Load and MSP Inverse Model Structure As shown in Fig. 1, a SC boiler unit can be simplified as a 3input 3-output model.
< Boiler steam pressure control system is important because of affecting the turbine speed directly. In engineering, the steam pressure control system is mostly dominated by traditional PID control. But the traditional PID control strategy can't obtain satisfied control effects with the changing of the fuel and give-wind flow. The use of intelligent control strategy has been studied in recent
2016-2-20 · 4 K. Jagatheesan et al.: Ant colony optimization algorithm based PID controller In recent years, several controllers have been developed for regulation of the power system operation and parameters (frequency and tie-line power ﬂow) within the speciﬁed or scheduled value [3, 7–11, 14, 15, 26]. To achieve better dynamic response in multi-/ single area power systems, controllers have been
< Based on the fuzzy control and neural network, an intelligent adaptive control algorithm was presented in the paper. In consideration of the forces and moments from the environmental disturbance, such as winds, waves, currents, etc., Simulation experiments are carried out by using Matlab's Simulink toolbox.