Adaptation of PID controller using AI technique for speed control of isolated steam turbine

Ismail, Mohamed M.

doi:10.1109/jec-ecc.2012.6186962

Cited by 15 publications

(9 citation statements)

References 12 publications

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“…The presence of a nonminimum phase zero in (18) limits the amplification of the loop gain and the general performance. This is however independent of the controller used.…”

Section: Linear Model Descriptionmentioning

confidence: 99%

Design of a H∞ Robust Controller with μ-Analysis for Steam Turbine Power Generation Applications

et al. 2017

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Concentrated Solar Power plants are complex systems subjected to quite sensitive variations of the steam production profile and external disturbances, thus advanced control techniques that ensure system stability and suitable performance criteria are required. In this work, a multi-objective H ∞ robust controller is designed and applied to the power control of a Concentered Solar Power plant composed by two turbines, a gear and a generator. In order to provide robust performance and stability in presence of disturbances, not modeled plant dynamics and plant-parameter variations, the advanced features of the µ-analysis are exploited. A high order controller is obtained from the process of synthesis that makes the implementation of the controller difficult and computational more demanding for a Programmable Logic Controller. Therefore, the controller order is reduced through the Balanced Truncation method and then discretized. The obtained robust control is compared to the current Proportional Integral Derivative-based governing system in order to evaluate its performance, considering unperturbed as well as perturbed scenarios, taking into account variations of steam conditions, sensor measurement delays and power losses. The simulations results show that the proposed controller achieves better robustness and performance compared to the existing Proportional Integral Derivative controller.

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“…The presence of a nonminimum phase zero in (18) limits the amplification of the loop gain and the general performance. This is however independent of the controller used.…”

Section: Linear Model Descriptionmentioning

confidence: 99%

Design of a H∞ Robust Controller with μ-Analysis for Steam Turbine Power Generation Applications

et al. 2017

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“…The mechanism by which the information about the actual output is communicated to the controller is called a feedback. In Figure 2, the path from the plant output to the controller input is called a feedback-loop [5,6]. The input applied to the controller is called the error signal.…”

Section: Control Techniquesmentioning

confidence: 99%

Bang-Bang Control Technique Based Lab Scaled Steam Turbine-Generator Set Test Bench

2016

8th International Conference on Latest Trends in Engineering and Technology (ICLTET-2016) May 5-6 2016 Dubai (UAE)

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Abstract-Due to the increased generation of electricity from coal, oil and other fossil fuels, energy and environmental issues have become the major concerns around the globe. Thus this paper has been initiated to develop a steam generator based multitasking test bed that have analyzed the relationship of key parameters of the steam turbine-generator set such as pressure, temperature and turbine's rpm, with the variation of load. The bang-bang based control algorithm has been applied to control the rpm of the steam turbine-generator set according to the load requirements. At the end of the thesis, performance analysis has been carried out in MATLAB/Simulink on different scenarios with respect to load..HE world is facing very serious energy threats because of the increasing consumption of electricity and global warming. One of the reasons behind the problem is the vigorous exploitation of fossil fuel reserves of the world in the last century. So as to compete with energy challenges, scientists and engineers are working day and night for the well being of our community. Now scientists prefer those sources of energy that are renewable and environmental friendly as well. So paradigm shift is being observed as far as prime mover of electricity is being concerned [1,2].Out of the many sources of renewable energy such as water, wind, and solar, steam energy is still considered popular source of electricity production globally because of less cost [3]. II. CONTROL TECHNIQUESA control system by definition consists of the system to be controlled -called the plant, as well as the system which exercise control over the plant, called the controller [4]. A controller could be either human being, or an artificial device. The controller is said to apply the signal to the plant called the input to the plant (or control input), in order to produce the desired response from the plant, called the output from the FaisalHaider 1 is with the Superior

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“…Conical tanks exhibit non-linear behaviour which is suitable for food process industries, concrete mixing industries, hydrometallurgical industries and waste water treatment industries. [1,2].…”

Section: Introductionmentioning

confidence: 99%

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

Feyo¹,

Thelkar²,

Bharatiraja³

et al. 2020

FME Transactions

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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.

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Adaptation of PID controller using AI technique for speed control of isolated steam turbine

Cited by 15 publications

References 12 publications

Design of a H∞ Robust Controller with μ-Analysis for Steam Turbine Power Generation Applications

Design of a H∞ Robust Controller with μ-Analysis for Steam Turbine Power Generation Applications

Bang-Bang Control Technique Based Lab Scaled Steam Turbine-Generator Set Test Bench

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

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