Reference design and comparative analysis of model reference adaptive control for steam turbine speed control

This paper presents the mathematical modeling of the steam turbine unit with the fuzzy controller in an isolated operating condition, especially in nuclear power plants. The water level in the steam generator is one of the main causes for the shutdown of the reactor. This problem has been of immense concern during the past years as the steam generator and governor speed control is a highly nonlinear system showing inverse response dynamics. In the present research a simulink model of turbine with fuzzy controller is designed. The results are compared and analyzed with MRAC design technique to determine better methodological solution for the steam turbine speed control and achieved, time to the adaption effectiveness of 0.3 to 2.5% with and without GDB. Improved set point tracking and control with respect to turbine speed are demonstrated for the cases when governor dead-band is present and absent.

[1]  Mohamed Ibrahim,et al.  The PID controller design using genetic algorithm , 2005 .

[2]  Sushil S. Karvekar,et al.  Design and implementation of sensorless vector control of induction motor drive using fuzzy-adaptive controller , 2017, 2017 International Conference on Computing Methodologies and Communication (ICCMC).

[3]  A. Rubaai,et al.  DSP-Based Implementation of Fuzzy-PID Controller Using Genetic Optimization for High Performance Motor Drives , 2007, 2007 IEEE Industry Applications Annual Meeting.

[4]  M. M. Ismail,et al.  Adaptation of PID controller using AI technique for speed control of isolated steam turbine , 2012, 2012 Japan-Egypt Conference on Electronics, Communications and Computers.

[5]  A. Rubaai,et al.  DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives , 2008, IEEE Transactions on Industry Applications.

[6]  Dan Sun,et al.  A Single Neuron PID Controller Based PMSM DTC Drive System Fed by Fault Tolerant 4-Switch 3-Phase Inverter , 2006, 2006 1ST IEEE Conference on Industrial Electronics and Applications.

[7]  Torbjörn Wigren,et al.  A disturbance rejection and data rate trade-off in networked data flow control , 2019, Eur. J. Control.

[8]  Valentina Colla,et al.  A Fuzzy Logic-based Tuning Approach of PID Control for Steam Turbines for Solar Applications , 2017 .

[9]  Wang Ying Model and Nonlinear Analysis of 300MW Steam Turbine Speed Control System , 2007 .

[10]  Li Zhong-hua Model and nonlinear analysis of 300MW steam turbine speed control system , 2006 .

[11]  T. John Koo,et al.  Stable model reference adaptive fuzzy control of a class of nonlinear systems , 2001, IEEE Trans. Fuzzy Syst..

[12]  Suttipan Limanond,et al.  Model reference adaptive and nonadaptive control of linear time-varying plants , 2000, IEEE Trans. Autom. Control..

[13]  Michele Amoretti,et al.  Simulation Modelling Practice and Theory , 2015 .

[14]  Ali Ghaffari,et al.  Steam turbine model , 2008, Simul. Model. Pract. Theory.

[15]  Saeed Gazor,et al.  Hybrid adaptive fuzzy identification and control of nonlinear systems , 2002, IEEE Trans. Fuzzy Syst..

[16]  Lukas Hubka,et al.  Steam turbine and steam reheating simulation model , 2013, 2013 International Conference on Process Control (PC).

[17]  Min Tan,et al.  Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach , 2008, IEEE Transactions on Fuzzy Systems.

[18]  Martin Mönnigmann,et al.  Model predictive control of the steam cycle in a solar power plant , 2015 .

[19]  C. Bharatiraja,et al.  Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances , 2019 .

[20]  Luca Zaccarian,et al.  A switched and scheduled design for model recovery anti-windup of linear plants , 2019, Eur. J. Control.

[21]  Sireesh Kumar Pandey,et al.  A Self Tuning Fuzzy Controller , 1997, Fuzzy Days.

[22]  C. Bharatiraja,et al.  Single Machine Connected Infinite Bus system tuning coordination control using biogeography-based optimization algorithm , 2019 .

[23]  C. Bharatiraja,et al.  Self-tuning regulator based cascade control for temperature of exothermic stirred tank reactor , 2019, FME Transactions.

[24]  Anastasios Xepapadeas,et al.  Robust control of parabolic stochastic partial differential equations under model uncertainty , 2019, Eur. J. Control.

[25]  Vaishali,et al.  DESIGN OF MODEL REFERENCE ADAPTIVE CONTROLLER FOR CYLINDER TANK SYSTEM , 2018 .

[26]  Dharmendar Boolchandani,et al.  Multi-objective PID Optimization for Speed Control of an Isolated Steam Turbine using Gentic Algorithm , 2014 .

[27]  Domenico Guida,et al.  Development and implementation of a control system for a retrofitted CNC machine by using Arduino , 2017 .

[28]  Yih-Guang Leu,et al.  Nonlinear parameter fuzzy control for uncertain systemswith only system output measurement , 2009, 2009 IEEE International Conference on Fuzzy Systems.