Parameter identification method for process control systems based on the Newton iteration

The typical second-order system is a widely used model in control system analysis. The typical second-order system responses contain abundant dynamical information and can be modeled and identified. The modeling for the typical second-order system is significant. This paper studies the identification method for the typical second-order system by means of the impulse response experiment and presents a Newton iterative parameter estimation algorithm for the second-order system with under-damping ratio. An example is provided to test the algorithm performance. Moreover, the proposed method is applied to a mechanical system. The simulation results show that the proposed identification method can work effectively.