Abstract

The performance of the electromechanical actuator system is usually affected by the nonlinear friction torque disturbance, model uncertainty, and unknown disturbances. In order to solve this problem, a model-based friction compensation method combined with an observer-based adaptive sliding mode controller for the speed loop of electromechanical actuator system is presented in this article. All the disturbances and model uncertainty of electromechanical actuator system are divided into two parts. One is model-based friction torque disturbance which can be identified by experiments, and the other is the residual disturbance which cannot be identified by experiments. A modified LuGre model is adopted to describe the friction torque disturbance of electromechanical actuator system. An extended state observer is designed to estimate the residual disturbance. An adaptive sliding mode controller is designed to control the system and compensate the friction torque disturbance and the residual disturbance. The stability of the electromechanical actuator system is discussed with Lyapunov stability theory and Barbalat’s lemma. Experiments are designed to validate the proposed method. The results demonstrate that the proposed control strategy not only provides better disturbance rejecting ability but also provides better steady state and dynamic performance.

Highlights

  • Electromechanical actuator (EMA) system controls the deflection of aerodynamic surface

  • Due to the fact that the model uncertainty and unknown disturbances can extremely degrade the performance of the EMA system, they are always estimated by the observer and compensated in the control action

  • One is the model-based friction torque disturbance which can be identified by experiments, and the other is the residual disturbance which cannot be identified by experiments

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Summary

Introduction

Electromechanical actuator (EMA) system controls the deflection of aerodynamic surface. Due to the fact that the model uncertainty and unknown disturbances can extremely degrade the performance of the EMA system, they are always estimated by the observer and compensated in the control action.

Results
Conclusion
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