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Research on Main Steam Temperature Control of Utility Boiler Based on Internal Model Control

Author: ShaoMengMeng
Tutor: SunLingFang
School: Tohoku Electric Power University
Course: Control Theory and Control Engineering
Keywords: Main steam temperature Cascade control of the internal model Quantum Neural Network Modeling Quantum particle swarm algorithm optimization
CLC: TM621.2
Type: Master's thesis
Year: 2010
Downloads: 174
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Abstract


The main steam temperature control system is extremely important to run the security and economy of the boiler unit , so its very strict requirements . However, due to the system controlled object with nonlinear , time-varying , large inertia and delay characteristics , especially in recent years , generating sets more and more to the direction of the high - parameter , high-capacity development , the plant becomes more complex quality control requirements are becoming more traditional cascade PID control system has been unable to fully meet the performance requirements of the superheated steam temperature control . The internal model control advantages of its simple design , easy and intuitive design , tracking good regulating performance , robustness , and can eliminate the unmeasured interference , control theory and engineering attention . The same time it can be like the Smith Predictor suitable for large - delay system . Therefore, large delay , large inertia main steam temperature control system using the internal model control strategy has a very important practical significance . In -depth analysis of the internal model cascade control strategy , and its improvement and innovation applied to the main steam temperature control . The paper designs a new internal model of the main steam temperature cascade control system ( IMC -P ) , Heilongjiang Hegang power plant to provide on-site data and quantum neural network of the main steam temperature controlled object model , network training tests after that , the design of the network weights obtained a way to convert the form of the transfer function , then get the mathematical model of the controlled object , and then the filter parameters using quantum particle swarm algorithm internal model controller optimization In this paper, the design of the internal model control algorithm Finally , the main steam temperature control system composed of IMC-P cascade . Simulation results show that , In this paper, the design of quantum neural network mode cascade control system , has strong anti-jamming capability , robustness and good quality regulation , power plant main steam temperature control is better than PID-P control system.

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Boilers and combustion systems
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