Project Details
Description
The objective of this three years project is to develop a high-performance synchronous reluctance motor (SynRM) drive system with wide speed operating range. In order to improve the control performance of the SynRM drive, fuzzyneural-network type intelligent controller is also developed. A current angle controller and a d-axis current controller are developed in the constant torque region of the SynRM drive to achieve the maximum power factor control (MPFC). Moreover, a voltage controller is developed in the constant power and reduced power region of the SynRM drive to achieve high-performance flux-weakening (FW) control and maximum torque per voltage (MTPV) control. This is a project for three years.In the first year, a novel MPFC using a current angle controller with stator resistance and stator flux estimators is proposed. Since the saliency ratio requires offline pre-preparation and can’t be adjusted automatically, it is difficultto improve the performance of the MPFC in different operating regions because of the increasing of manufacturing cost and time consuming. Therefore, an intelligent-maximum power factor searching control using a recurrent Chebyshev fuzzy neural network (RCFNN) current angle controller is developed for the speed control of a SynRM. In the second year, in order to improve the dynamic response of speed, an adaptive complementary sliding mode (ACSM) speed controller is derived. An online MPF controller is proposed to generate the d-axis current command for the current control mode of the SynRM. Furthermore, the FW voltage controller is employed to produce the incremental value of stator voltage command to achieve the maximum voltage limit. In addition, a novel voltage angle controller with an MTPV limiter and a feedforward control is designed to generate the voltage angle command for the voltage control mode. The proposed SynRM drive with MPFC, RCFNN, ACSM, FW and MTPV controlalgorithms are implemented using the “C” laguage in a 32-bit floating-point digital signal processor TMS320F28075. By using the peripheral circuits of the DSP, the adopted SynRM is driven by a power integrated module based VSI. Moreover, the rotor position of SynRM is measured by an encoder to achieve precision speed control of the SynRM drive with wide speed operating range.
| Status | Finished |
|---|---|
| Effective start/end date | 1/08/23 → 31/07/24 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- High-performance synchronous reluctance motor (SynRM)
- Recurrent Chebyshev fuzzy neural network (RCFNN)
- Adaptive complementary sliding mode (ACSM)
- Intelligent control
- maximum power factor (MPF)
- Flux-weakening (FW)
- Maximum torque per voltage (MTPV)
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