Adaptive PI and RBFNN PID Current Decoupling Controller for Permanent Magnet Synchronous Motor Drives: Hardware-Validated Results
Abstract
:1. Introduction
2. System Dynamic Error and Model Description
2.1. The Model Description from the System
2.2. The Dynamic Error System
3. Design of the Adaptive PI and PID Controller
3.1. Traditional PI and PID Compound Control with Decoupling Technology
3.2. The Proposed Adaptive PI Controller
4. RBFNN-PID Controller Design
4.1. The Proposed Adaptive RBFNN-PID Controller
4.2. NN Compensator in RBFNN-PID
4.3. Stability and Analysis
5. Experimental Validation
5.1. Drive System Settings
5.2. Research Program
5.3. Experimental Results
6. Conclusions
- A new adaptive PI + RBFNN-PID control strategy was proposed, and detailed design steps were given.
- The Lyapunov method provided mathematical proof of control system stability, zero convergence and the pertinent lemmas.
- We verified the adaptive PI + RBFNN-PID control method and showed that we tested the adaptive PI + RBFNN-PID control scheme and the SPMSM driver can accurately track the speed under the change of motor parameters and external load disturbance.
- The results were given and the traditional PI + PID controller results were compared. Currently, many researchers are developing new PI + PID gain analysis and tuning methods, and the proposed adaptive PI + RBFNN-PID control method contributes to reducing the difficulty of these tasks.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Symbol | Value |
---|---|---|
Rated power | Pe | 400 W |
Rated phase-to-phase voltage | Vr | 220 V |
Rated phase current | Ir | 2.8 A |
Rated torque | Tr | 2.7 N.M |
Number of poles | P | 8 |
Stator resistance | Rs | 2.875 Ω |
Stator inductance | Ld, Lq | 0.22 mH, 0.61 mH |
Magnet flux | ψf | 0.085 V·s/rad |
Equivalent inertia | J | 0.0018 kg·m2 |
Viscous friction coefficient | B | 0.0002 N·m·s/rad |
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Zeng, X.; Wang, W.; Wang, H. Adaptive PI and RBFNN PID Current Decoupling Controller for Permanent Magnet Synchronous Motor Drives: Hardware-Validated Results. Energies 2022, 15, 6353. https://doi.org/10.3390/en15176353
Zeng X, Wang W, Wang H. Adaptive PI and RBFNN PID Current Decoupling Controller for Permanent Magnet Synchronous Motor Drives: Hardware-Validated Results. Energies. 2022; 15(17):6353. https://doi.org/10.3390/en15176353
Chicago/Turabian StyleZeng, Xiaoli, Weiqing Wang, and Haiyun Wang. 2022. "Adaptive PI and RBFNN PID Current Decoupling Controller for Permanent Magnet Synchronous Motor Drives: Hardware-Validated Results" Energies 15, no. 17: 6353. https://doi.org/10.3390/en15176353