Mount Permanent Magnet Synchronous Motor Research Articles

Speed control of an SPMSM using a tracking differentiator-PID controller scheme with a genetic algorithm

In this paper, a tracking differentiator-proportional integral and derivative (TD-PID) control scheme is proposed to control the speed of a surface mount permanent magnet synchronous motor (SPMSM). The TD is used to generate the necessary transient profile for both the reference and the output speed, which are compared with each other to produce the error signals that feed into the PID controller. In addition to the TD unit parameters, the PID controller’s parameters are tuned to achieve the optimum new multi-objective performance index, comprised of the integral of the time absolute error (ITAE), the absolute square of the control energy signal (USQR), and the absolute value of the control energy signal (UABS) and utilizing a genetic algorithm (GA). A nonlinear model of the SPMSM is considered in the design and the performance of the proposed TD-PID scheme was validated by comparing its performance with that of a traditional PI controller in a MATLAB environment. Different case studies were tested to show the effectiveness of the proposed scheme, results including peak overshoot, energy consumption, control signal chatter, and 30% improvement in the OPI, with variable reference speeds, load torque, and parameters uncertainties. Illustrate the proposed scheme's success compared with PI controller.

Performance Evaluation of CKF Based Sensorless Vector Controlled PM Synchronous Motor Drive

Sensor-less vector control of Surface Mount Permanent Magnet Synchronous Motor (SPMSM) throughout the entire speed regime is a challenging problem in PMSM drive. This paper addresses this control problem and presents the design and simulation study of sensor-less vector control of SPMSM using Cubature Kalman filter (CKF) based rotor position and speed estimator. The use of CKF for speed and position estimation of PMSM is reported in recently literature. However, the results are not substantial. Position and speed estimation errors are quite large, also the estimated speed and position contain considerably large ripple. In the present work the performance of CKF observer in terms of position and speed estimation accuracy is significantly improved. The dynamic performance of the drive throughout the entire speed zone under variable load torque is also improved.

Electromagnetic Torque-Based Model Reference Adaptive System Speed Estimator for Sensorless Surface Mount Permanent Magnet Synchronous Motor Drive

This article proposes simple and robust electromagnetic torque-based model reference adaptive system speed estimator with cascaded pseudoderivative feedback controller for sensorless surface mount permanent magnet synchronous motor (SMPMSM) drive to improve its performance at standstill and low-speed regions. The proposed estimator is formed using instantaneous and estimated electromagnetic torque. Using small signal modeling, the stability and sensitivity analysis are performed. Results show that the estimator is stable over a wide speed region (including low-speed regions) and exhibits robustness against uncertainties in machine parameters. The proposed estimator is implemented for the 1.5-kW laboratory prototype SMPMSM drive using field programmable gate array (FPGA) ALTERA Cyclone II. Experimental results demonstrate the efficacy of the proposed scheme under different test conditions viz., over a wide adjustable speed range which includes different low-speed regions and standstill, i.e., 157 to −157 rad/s at different load conditions with uncertainty in machine parameters.

Laboratory implementation of electromagnetic torque based MRAS speed estimator for sensorless SMPMSM drive

This Letter proposes a simple electromagnetic torque based model reference adaptive system (MRAS) speed estimator for sensorless surface mount permanent magnet synchronous motor (SMPMSM) drive. The proposed estimator is formed using instantaneous measured and estimated electromagnetic torque. The proposed estimator is implemented for 1.5 kW laboratory prototype SMPMSM drive using field programmable gate array ALTERA cyclone II. Experimental results demonstrate the efficacy of the proposed scheme under different test conditions viz. different low-speed regions and standstill at different load conditions with uncertainty in machine parameters. Results show that the estimator is stable in low-speed regions and exhibits robustness against uncertainties in machine parameters.

Dynamic Modeling and Controller Design for a Novel Front-End Speed Regulation (FESR) Wind Turbine

Most existing wind turbine generation systems (WTGS) are based on double-fed induction generator (DFIG) and direct-drive synchronous generator (DDSG). In this paper, we investigate the modeling and controller design of a novel front-end speed regulation (FESR) wind turbine with differential variable ratio gearbox (VRG). For this wind turbine, a surface mount permanent magnet synchronous motor (SPMSM) unit is embedded to maintain the constant (i.e., synchronous) speed of the generator shaft over wide range of wind speed, which allows the conventional synchronous generator to be used to construct a grid-friendly WTGS. Compared with DFIG and DDSG, the novel FESR does not use converters for grid-connecting but adopt SPMSM to ensure the synchronous speed. A model-independent speed control algorithm for maximum power point tracking (MPPT) is developed based on a neuro-adaptive backstepping approach. Theoretical analysis and numerical simulations show that the proposed control scheme ensures more precise motor speed tracking in the presence of parameter uncertainties and external load disturbances.

Adaptive fuzzy logic-controlled surface mount permanent magnet synchronous motor drive

Permanent magnet synchronous machines (PMSMs) are becoming popular in industries due to their fast transient response, high power density and high efficiency. This paper presents rotor field-oriented control of a surface mount permanent magnet synchronous motor drive with a fuzzy logic-based speed controller. A model reference adaptive fuzzy logic controller is utilised in the place of a conventional speed proportional plus integral (PI) controller. Simulation and experimental results are provided to show the applicability of artificial intelligence-based speed control of PMSMs. Results are presented for both conventional PI-based control and proposed adaptive fuzzy logic control and compared. The novelty of the paper lies in the experimental implementation of the adaptive fuzzy logic controller in vector-controlled PMSM drive.