Research On Control Of Organic Rankine Cycle Waste Heat Power Generation Processes

Energy is an important material basis for the survival and development of human society. Due to non-renewable characteristics and exploitation way of fossil energy, many problems have become increasingly prominent serious, such as resource constraints tight, environmental pollution, ecosystem degradation. Faced with this situation, it is imperative to energy conservation and improving energy efficiency. Organic Rankine Cycle which is used to recover boiler waste heat can reduce industrial energy consumption and greenhouse gas emissions.The random fluctuations of boiler waste gas mass flow rate and temperature will result in operating point random variation of Organic Rankine Cycle waste heat power generation process. System model of each operating point can use a linear time-invariant systems to describe. And operating point can be divided according to mass flow rate and temperature of bolier waste gas.The change between operating point use Markov chain to describe. So, the Markov jump linear system model of Organic Rankine Cycle waste heat power generation process is built.On the basis of Markov jump linear system model of Organic Rankine Cycle waste heat power generation process, considering the transition probabilities known, some known and completely unknown three cases,the paper aims at designing H∞ state feedback controller for Markov jump linear system model of Organic Rankine Cycle waste heat power generation process. Simulation results show the effectiveness of designed controller.