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Tracking control has attracted significant attention because of its close link with industrial applications. Tracking control requires that a control algorithm can ensure that an actuator follows control commands, with a fast response anti-disturbance abilities and small chattering. A tracking-differentiator-based sliding-mode control approach for tracking control is proposed in this paper. A tracking differentiator has the ability to obtain the desired signal's differential signal, even when there is noise in the desired signal. A differential signal is often required in the design of sliding-mode controllers. When tracking differentiator is applied to a sliding-mode controller, the chattering of the control commands (caused by noise disturbance) can be reduced while the fast response of the sliding-mode controller can be maintained. The simulation results show that the proposed controller is effective. ....
This article proposes an electromagnetic damper (EMD) based on a ball screw mechanical structure actuator. To prove the damping effect of the new damper proposed in this paper. In this paper, the EMD suspension is validated on a quarter vehicle suspension. A mathematical model of quarter vehicle suspension is developed and a sliding mode variable structure controller is designed. This sliding mode controller enables vibration control of the suspension and improves ride comfort. To make the EMD track the ideal current effectively, a variable resistance circuit that can change the electromagnetic damping force is proposed to achieve the graded adjustment of resistance. A semi-active vehicle vibration control strategy was designed, and experiments were conducted using a quarter-vehicle test platform to verify the vibration-damping performance of this EMD suspension. The energy transfer to the road was analyzed and the higher the variable resistance, the more energy is transferred to the v ....
This paper studies the parameter tuning problem for a class of extended disturbance observers (EDO) and the EDO-based sliding mode control (SMC). Based on a H2 optimization technique, analytical solutions for the parameter tuning of the EDO and the EDO-based SMC are obtained. The conditions under which higher-order EDOs are strictly better than lower-order EDOs are derived analytically. Furthermore, the steady-state performance of the EDO-based SMC is analyzed, where it is shown that the improvement of the tracking accuracy of the EDO can reduce the sensitivity of the state variables and the control input with respect to the controller parameters. This implies that the SMC parameter tuning requirement can be reduced if a high tracking accuracy of the EDO is guaranteed. Finally, the application to the active structural control problem of an offshore wind turbine is studied and the effectiveness of the obtained results is demonstrated based on a National Renewable Energy Laboratory (NREL ....
The fast response of linear speed for linear induction motors (LIMs) based on sliding mode control with finite-control-set model predictive flux control is proposed in this paper. In this proposed method, the linear speed is controlled using the sliding mode control (SMC) instead of the proportional-integral (PI) control. Besides, the finite-control-set (FCS) depends on the primary flux only, hence the weighting factor is eliminated. Furthermore, the calculation processes reduce as the primary flux is only required in the prediction stage. The proposed control method is applied to guarantee lower thrust ripples. All variables and states for estimation, prediction, and cost function are in the αβ-coordinates. During the modeling of the LIMs and the proposed control process, the end-effect is taken into consideration. The proposed SMC with the FCS-MPC is compared with the PI with the FCS-MPC under variable linear speed and load thrust variation. The proposed SMC with FCS-MPC can achiev ....
The platoon of connected autonomous vehicles plays an essential role in future intelligent transportation. It can improve traffic efficiency and release traffic congestion. However, there are lots of existing challenging problems of the control of connected autonomous vehicles, such as the negative impact caused by wireless communication and disturbance. To solve these challenges, a multi-objective asymmetric sliding mode control strategy is proposed in this paper. Firstly, the asymmetric degree is introduced in the topological matrix. Then, a sliding mode controller is designed targeting platoon's tracking performance. Moreover, Lyapunov analysis are used via Riccati inequality to find the controller's gains and guarantee internal stability and Input-to-output string stability. Finally, a non-dominated sorting genetic algorithm is utilized to find the Pareto optimal asymmetric degree regarding the overall performance of the platoon, including tracking index, fuel consumption ....