Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review
Abstract
:1. Introduction
2. Sliding Mode Controller Enhancement in PMSM Speed Control
2.1. Sliding Surface Design Modification
2.1.1. Integer Order Integral SMC
2.1.2. Fractional Order SMC
2.1.3. Terminal SMC
2.2. Higher Order SMC
2.3. Reaching Law Method
2.4. Disturbance Compensation
2.5. Artificial Intelligence
2.5.1. Fuzzy Logic
2.5.2. Neural Network
2.5.3. Fuzzy Neural Network
3. Fractional Order SMC for Speed Control of PMSM
3.1. Field Oriented Speed Control of PMSM
3.2. Design of FOSMC-PID
3.3. Simulation Results
3.3.1. Performance Comparison of Fractional Order SMC with Conventional Integer Order SMC
3.3.2. Performance Comparison of Fractional Order SMC with Different Sliding Surface Designs (PI, PD and PID)
3.3.3. Performance of the Proposed FOSMC Speed Controller for Various Conditions
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Parameter | Value |
---|---|
Stator resistance, | 1.2 Ω |
d-axis stator inductance, | 6.35 m H |
q-axis stator inductance, | 6.75 m H |
Moment of inertia, | 2.31 × 10−4 kg m2 |
Viscous friction coefficient, | 0.0002 Nm s |
Flux linkage, | 0.15 Wb |
Pole pair, | 4 |
Performance Indices | SMC | FOSMC-PI | FOSMC-PD | FOSMC-PID (Proposed) |
---|---|---|---|---|
Overshoot (%) | 9.22 | 5.52 | 0 | 0.8593 |
Settling time (s) | 0.288 | 0.0094 | 0.096 | 0.0096 |
Speed drop (%) | 1.28 | 4.3 | 1.5 | 1.16 |
Steady state error (%) | 0.02 | 0.04 | 0.06 | 0.02 |
Torque ripple (%) | 12 | 11 | 10 | 10 |
Speed ripple (%) | 0.16 | 0.12 | 0.014 | 0.014 |
Controller Description | Remarkable Properties | Disadvantages |
---|---|---|
Linear SMC | Simplicity | Unsatisfactory convergence rate and settling time (can be improved by composite SMC or reaching law modification) |
Integral SMC |
| Controller gain must be carefully tuned to ensure balance between robustness and chattering |
Fractional order SMC |
| Careful tuning of fractional operator required |
Terminal SMC | Fractional power is introduced to ensure fast and finite-time states convergence during sliding mode phase | Singularity problem that might occur if the initial conditions are not carefully selected (can be solved by NTSM, NFTSM) |
Higher order SMC |
| Usage of differentiators, where their practical behavior requires particular care in real implementation due to measurement noise. |
Boundary layer SMC | Smooth approximation to replace sign function to alleviate chattering |
|
SMC with reaching law modification |
|
|
SMC with feed-forward disturbance compensation |
| Depends on disturbance estimation accuracy |
SMC with AI | Areas of AI utilization with SMC:
| Computational load |
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Mohd Zaihidee, F.; Mekhilef, S.; Mubin, M. Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review. Energies 2019, 12, 1669. https://doi.org/10.3390/en12091669
Mohd Zaihidee F, Mekhilef S, Mubin M. Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review. Energies. 2019; 12(9):1669. https://doi.org/10.3390/en12091669
Chicago/Turabian StyleMohd Zaihidee, Fardila, Saad Mekhilef, and Marizan Mubin. 2019. "Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review" Energies 12, no. 9: 1669. https://doi.org/10.3390/en12091669