Closed-loop Step Response Data Research Articles

Data-driven I-PD Gain Tuning using Closed-loop Step Response Data

Data-driven I-PD Gain Tuning using Closed-loop Step Response Data

Reference Model Design for Data-driven Controller Parameter Tuning Based on Closed-loop Step Response Data with Manipulated Variable Evaluation

Reference Model Design for Data-driven Controller Parameter Tuning Based on Closed-loop Step Response Data with Manipulated Variable Evaluation

A Design Method for an Optimal Pre-filter in FRIT Using Closed-loop Step Response Data

This paper gives a design method for an optimal pre-filter in FRIT using closed-loop step response data by extending the method for VRFT. The paper shows that both the data-driven cost function and the original one have the same second order Taylor expansion with extended parameter descriptions. Finally, a numerical example shows the effectiveness of the proposed method.

Simultaneous automatic tuning of cascade control systems from closed-loop step response data

This study presents a novel automatic tuning method for cascade control systems in which both primary and secondary controllers are tuned simultaneously using a single closed-loop step test. The proposed technique identifies the required process information with the help of B-spline series representation for the step responses. The two proportional–integral–derivative (PID) controllers are then tuned using an internal model control (IMC) approach. Considering the rationale of cascade control, the secondary controller is designed for faster disturbance attenuation. Without requiring an additional experiment, the primary controller is designed based on an identified process model that accurately accounts for inner loop dynamics. Finally, this study includes robustness considerations in the controller tuning process, and develops explicit guidelines for the selection of the IMC tuning parameters, completing the automatic tuning procedure for cascade control systems. The proposed method is robust to measurement noise because of the filtering property of the B-splines, and can provide superior control performance for both set-point tracking and disturbance rejection. Simulation examples demonstrate the effectiveness of the proposed automatic tuning method.

Frequency Response Estimation for Mechanical Systems Using Closed-Loop Step Response Data

In this paper, a simple scheme to estimate frequency transfer functions of linear time-invariant single-input single-output systems based on closed-loop step response data is investigated. The method uses only a single set of step response data of plants under closed-loop operating conditions. The input and output of a plant are filtered by a simple bandpass filter, and the frequency transfer function of the plant is obtained with the Discrete Fourier Transforms of the filtered input and output signals. The method is applied to a resonant mechanical system and its validity is illustrated through simulations and experiments.

System identification based on closed-loop step response data

This paper presents a new identification algorithm for processes operating in closed-loop. The algorithm involves fitting two Laguerre models directly to the control signal and the process output signal generated by a step change in the setpoint. The algorithm does not require any prior assumptions about the structure of the process model. The method generates an estimate of the process model in the frequency domain, and then transforms this frequency domain estimate into a continuous-time Laguerre model. Simulation results are used to illustrate the accuracy of the algorithm.