L

Lin Zhao

Qingdao University

ORCID: 0000-0003-2111-6611

Publishes on Adaptive Control of Nonlinear Systems, Inertial Sensor and Navigation, Distributed Control Multi-Agent Systems. 300 papers and 6.9k citations.

300Publications
6.9kTotal Citations

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Top publicationsby citations

Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation
Jinpeng Yu, Lin Zhao, Haisheng Yu et al.|IEEE Transactions on Cybernetics|2017
Cited by 259

This paper considers the fuzzy finite-time tracking control problem for a class of nonlinear systems with input saturation. A novel fuzzy finite-time command filtered backstepping approach is proposed by introducing the fuzzy finite-time command filter, designing the new virtual control signals and the modified error compensation signals. The proposed approach not only holds the advantages of the conventional command-filtered backstepping control, but also guarantees the finite-time convergence. A practical example is included to show the effectiveness of the proposed method.

Combined Speed and Current Terminal Sliding Mode Control With Nonlinear Disturbance Observer for PMSM Drive
Xudong Liu, Haisheng Yu, Jinpeng Yu et al.|IEEE Access|2018
Cited by 217Open Access

A terminal sliding mode control (SMC) method based on nonlinear disturbance observer is investigated to realize the speed and the current tracking control for the permanent magnet synchronous motor (PMSM) drive system in this paper. The proposed method adopts the speed-current single-loop control structure instead of the traditional cascade control in the vector control of the PMSM. First, considering the nonlinear and the coupling characteristic, a single-loop terminal sliding mode controller is designed for PMSM drive system through feedback linearization technology. This method can make the motor speed and current reach the reference value in finite time, which can realize the fast transient response. Although the SMC is less sensitive to parameter uncertainties and external disturbance, it may produce a large switching gain, which may cause the undesired chattering. Meanwhile, the SMC cannot keep the property of invariance in the presence of unmatched uncertainties. Then, a nonlinear disturbance observer is proposed to the estimate the lump disturbance, which is used in the feed-forward compensation control. Thus, a composite control scheme is developed for the PMSM drive system. The results show that the motor control system based on the proposed method has good speed and current tracking performance and strong robustness.