2001AIAA Guidance, Navigation, and Control Conference and ExhibitRequires access

Disturbance cancellation techniques for MIMO smooth sliding mode control

Mark D.J. Brown, Yuri B. Shtessel

Open publisher page 2 citations

Abstract

Sliding mode control is a control method, traditionally characterized by infinite frequency switching, which is very robust to unmodeled noise and uncertainty. While sliding mode control provides very robust finite time convergence to the sliding surface, the implementation of this high frequency switching variable structure control is not generally realizable. This leads to the use of continuous approximations that are realizable but do not provide finite time convergence to the sliding surface and are not robust to unmodeled noise and disturbances. In this paper, we present a multi-input, multi-output smooth sliding mode control design which is a true (not approximated) sliding mode control design with finite time convergence to the sliding surface and is more robust to unmodeled disturbances and plant dynamics than continuous approximations. However, the Smooth Sliding Mode Controller (SMC) is not as robust to these disturbances as the traditional SMC. In order to improve the robustness of the Smooth SMC, we also investigate two methods, a disturbance estimator and an integral sliding surface, to enhance the robustness of the Smooth SMC. The enhanced robustness of the Smooth SMC using both of these methods is demonstrated using a numerical example.

About this research paper

What this paper is about

Sliding mode control is a control method, traditionally characterized by infinite frequency switching, which is very robust to unmodeled noise and uncertainty. While sliding mode control provides very robust finite time convergence to the sliding surface, the implementation of this high frequency switching variable structure control is not generally realizable. This leads to the use of continuous approximations that are realizable but do not provide finite time convergence to the sliding surface and are not robust to unmodeled noise and disturbances. In this paper, we present a multi-input, multi-output smooth sliding mode control design which is a true (not approximated) sliding mode control design with finite time convergence to the sliding surface and is more robust to unmodeled disturbances and plant dynamics than continuous approximations. However, the Smooth Sliding Mode Controller (SMC) is not as robust to these disturbances as the traditional SMC. In order to improve the robustness of the Smooth SMC, we also investigate two methods, a disturbance estimator and an integral sliding surface, to enhance the robustness of the Smooth SMC. The enhanced robustness of the Smooth SMC using both of these methods is demonstrated using a numerical example.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Sliding mode control is a control method, traditionally characterized by infinite frequency switching, which is very robust to unmodeled noise and uncertainty. While sliding mode control provides very robust finite time convergence to the sliding surface, the implementation of this high frequency switching variable structure control is not generally realizable. This leads to the use of continuous approximations that are realizable but do not provide finite time convergence to the sliding surface and are not robust to unmodeled noise and disturbances. In this paper, we present a multi-input, multi-output smooth sliding mode control design which is a true (not approximated) sliding mode control design with finite time convergence to the sliding surface and is more robust to unmodeled disturbances and plant dynamics than continuous approximations. However, the Smooth Sliding Mode Controller (SMC) is not as robust to these disturbances as the traditional SMC. In order to improve the robustness of the Smooth SMC, we also investigate two methods, a disturbance estimator and an integral sliding surface, to enhance the robustness of the Smooth SMC. The enhanced robustness of the Smooth SMC using both of these methods is demonstrated using a numerical example.

Key concepts: MIMO, Control theory (sociology), Sliding mode control, Computer science, Disturbance (geology), Mode (computer interface), Control (management), Nonlinear system

Related papers

Back to paper searchBrowse research topicsOriginal source
Disturbance cancellation techniques for MIMO smooth sliding mode control — Research Paper | ScholarLens