Sensorless Sliding-Mode MTPA Control of an IPM Synchronous Motor Drive Using a Sliding-Mode Observer and HF Signal Injection
By Gilbert Hock Beng Foo, Muhammed Fazlur Rahman. IEEE transactions on industrial electronics (1982. Print), 2010
375 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/58fb0e90be90dc200dedf6feac3d82b840b233b2
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In Control and Systems Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Robust Sliding Mode Control for Discrete Stochastic Systems With Mixed Time Delays, Randomly Occurring Uncertainties, and Randomly Occurring Nonlinearities (2012, background): “IN THE PAST two decades, sliding mode control (SMC) has become one of the most active branches of control theory that has found successful applications in a variety of engineering systems, such as robot manipulators, aircraft, electrical motors, and automotive engines [4], [6], [14], [16].”
- A High-Speed Sliding-Mode Observer for the Sensorless Speed Control of a PMSM (2011, background): “However, the observer error cannot be guaranteed to converge to zero within the boundary layer [18], [21], [22], [24].”
- FPGA-Based Sensorless PMSM Speed Control Using Reduced-Order Extended Kalman Filters (2014, neutral): “2320215 have been investigated [2]–[6].”
- DSP-Based Control of Sensorless IPMSM Drives for Wide-Speed-Range Operation (2013, background): “In [21] and [22], the performance of speed sensorless variable structure direct-torque-controlled IPMSM drive at very low speeds, including zero speed, was investigated.”
- Mathematical Model for MTPA Control of Permanent-Magnet Synchronous Motor in Stator Flux Linkage Synchronous Frame (2015, background): “An LUT requires many calculated or measured values.”
- Suboptimal Control Scheme Design for Interior Permanent-Magnet Synchronous Motors: An SDRE-Based Approach (2014, methodology): “In this technique, the desired d-axis current can be set by the following approximate equation [1], [6], [29], [30]: idsd = Ld − Lq λm i(2)qs .”