Improving the Rapidity of Nonlinear Tracking Differentiator via Feedforward
Dapeng Tian, Honghai Shen, Ming Dai
Abstract
Dapeng Tian, Honghai Shen, Ming Dai
Abstract
Differential of a signal is required for high-performance motion control and many other fields. Nonlinear tracking differentiator (NTD) is a feasible solution; however, it is limited in achieving better practical effect because of the problem of phase lags. This paper proposes a new idea of design with feedforward. By the feedforward of an input signal in solving the equations of the differentiator, differential estimate is more accurate. The proposal is simple; however, it provides an additional freedom in the design of a differentiator. This idea extends the theoretical structure of NTD. Moreover, it improves the practical effect of the differentiator. The application experiments are implemented in a servo system. Compared to the traditional NTD, the L2 norm of the servo error is reduced by 88% in a fast motion when the proposal is used. The validity is confirmed.
OpenAlex reports 85 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Differential of a signal is required for high-performance motion control and many other fields. Nonlinear tracking differentiator (NTD) is a feasible solution; however, it is limited in achieving better practical effect because of the problem of phase lags. This paper proposes a new idea of design with feedforward. By the feedforward of an input signal in solving the equations of the differentiator, differential estimate is more accurate. The proposal is simple; however, it provides an additional freedom in the design of a differentiator. This idea extends the theoretical structure of NTD. Moreover, it improves the practical effect of the differentiator. The application experiments are implemented in a servo system. Compared to the traditional NTD, the L2 norm of the servo error is reduced by 88% in a fast motion when the proposal is used. The validity is confirmed.
Key concepts: Differentiator, Control theory (sociology), Feed forward, Nonlinear system, Servomechanism, Computer science, Control engineering, Motion control