Adaptive Nonsingular Terminal Sliding Model Control for Permanent Magnet Synchronous Motor Based on Disturbance Observer
Open Access
- 1 January 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 6, 48913-48920
- https://doi.org/10.1109/ACCESS.2018.2867463
Abstract
In order to shorten the response time and improve robustness for a permanent magnet synchronous motor (PMSM) control system, an adaptive nonsingular terminal sliding model control (NTSMC) equipped with a disturbance observer is presented for PMSM. First, an improved exponential reaching law is adopted to adaptively adjust exponential and constant approach speed in the adaptive NTSMC. Second, the disturbance observer is devised to observe the load torque and external disturbance and feeds back them to the adaptive NTSMC to compensate. Simulation and experimental results applied to PMSM show that the proposed approach can quickly track load torque and external disturbance and the system has advantages of small overshoot, static error, rapidity, and higher robustness.Keywords
Funding Information
- National Natural Science Foundation of China (61703186)
- Natural Science Foundation of Jiangsu Province (BK20150530)
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- Jiangsu University (14JDG077)
This publication has 22 references indexed in Scilit:
- State Estimation of Permanent Magnet Synchronous Motor Using Improved Square Root UKFEnergies, 2016
- Design of an adaptive nonsingular terminal sliding model control method for a bearingless permanent magnet synchronous motorTransactions of the Institute of Measurement and Control, 2016
- Disturbance observer-based disturbance attenuation control for a class of stochastic systemsAutomatica, 2016
- Fractional order robust control for cogging effect compensation in PMSM position servo systems: Stability analysis and experimentsControl Engineering Practice, 2010
- Hybrid ${\rm H}^{\infty}$-Based Wavelet-Neural-Network Tracking Control for Permanent-Magnet Synchronous Motor Servo DrivesIEEE Transactions on Industrial Electronics, 2009
- Composite disturbance‐observer‐based control and H∞ control for complex continuous modelsInternational Journal of Robust and Nonlinear Control, 2009
- Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent-Magnet Synchronous Motor DrivesIEEE Transactions on Industry Applications, 2004
- Non-singular terminal sliding mode control of rigid manipulatorsAutomatica, 2002
- Neural-network-based self-tuning PI controller for precise motion control of PMAC motorsIEEE Transactions on Industrial Electronics, 2001
- Terminal attractors in neural networksNeural Networks, 1989