Nonlinear Characteristic Model Identification of Actuator Based on Hammerstein Model
To address the problem that the nonlinear characteristics of the actuator cannot be obtained directly due to the difficulty in measuring the flow rate of the medium flowing through the actuator in thermal power units,we proposed an indirect measurement method by constructing a Hammerstein model instead of directly measuring the medium flow rate.Then we used Particle Swarm Optimization(PSO)and Salp Swarm Algorithm(SSA)to identify the parameters of the Hammerstein model.In addition,aiming at the problems of low accuracy and slow convergence of PSO and SSA in identifying parameters of Hammerstein model,an improved hybrid algorithm of particle swarm-bottle swarm(IPS)was proposed.Finally,the model was simulated based on the command data of flue baffle and reheater outlet temperature data.Simulation results show that the proposed IPS algorithm can promote the premature convergence of PSO and im-prove the identification speed of SSA.Therefore,the Hammerstein model can solve the problem of nonlinear parameter identification of actuator whose media flow is difficult to measure,and the proposed IPS can accurately and quickly i-dentify the parameters of Hammerstein model.
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维普
