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Application of internal model control in main steam temperature system

The main steam temperature object is a system with large inertia, large time delay and time varying. The PID control cannot obtain satisfactory control performance. This paper proposes a method, which uses internal model cascade control system to control the main steam temperature system. Quantum genetic algorithm is applied to optimize the parameters of the filter. Simulation results show that the method has advantages.