Shao-Kai Tseng

Fault-tolerance control for a dual-PMSM drive system

In this paper, a simple fault-tolerance control method for a dual-PMSM speed drive system is investigated. The proposed method does not require any additional hardware. By suitably changing the switching states, a fault-tolerant control dual-PMSM drive system can be achieved. The fault-tolerant system can be applied for high-reliability applications such as, electric vehicles and other electric propulsion systems. The proposed system is implemented by using TMS320F2808 digital signal processors. Several experimental results show the validity and feasibility of the proposed method.

An improved maximum efficiency control for dual-motor drive systems

A maximum efficiency control for a dual-motor drive system is presented in this paper. The torque sharing between two motors is optimized by using the perturbation and observation method. A fuzzy-logic controller is implemented for the perturbation and observation method. As a result, the step of perturbation can be adaptively modified to improve the performance. In addition, a simple calculation is used to achieve real-time efficiency measurement. The proposed method is implemented on two identical 2 kW permanent magnet synchronous motors connected in parallel. Finally, experimental results validate the proposed control scheme performance.

Implementation of on-line maximum efficiency control for a dual-motor drive system

This paper proposes an on-line maximum efficiency control method for a dual-motor drive system. By using the on-line feedback signals and doing simple computations, the output torque of each motor can be determined. Then, a maximum efficiency operation of the whole system can be achieved. The efficiency of the whole system, which includes motor efficiency and inverter efficiency, is investigated. A digital signal processor TMS-320-F2808, made by Texas Instrument Company, is used as a control center to execute the required control algorithm. The proposed method is implemented on two identical surface-mounted PMSMs. Several experimental results can validate the correctness and feasibility of the proposed method. The proposed method can be used in industrial applications due to its simplicity.

Sensorless IPMSM position control system using a high frequency injection method

This paper proposes a sensorless IPMSM position control system based on a high frequency injection method. The proposed method uses 12-bit low resolution A/D converters to covert the stator currents of the IPMSM. In addition, a 0.67kHz injection voltage, which has a 30 V amplitude, is used. By measuring the stator currents, the injection current components related to the injection voltage can be obtained. Then an estimation method is proposed to obtain the estimated rotor position. After that, a compensation algorithm related to the saturation of the mutual inductance is implemented to reduce the rotor position estimation margin of error. Finally, a closed-loop system based on the high frequency injection method is implemented. Measured results show the proposed method can achieve satisfactory performance with a margin of error of only ±4 degree.

Design and implementation of predictive controllers for dual-PMSM drive systems

This paper investigates design and implementation of a predictive controller for dual-PMSM drive systems to improve output torque and dynamic responses. Experimental results show the dual-PMSM drive system has satisfactory performance, including good transient responses, load responses, and tracking responses. In addition, when one PMSM drive fails, the other PMSM drive still can provide output torque. The digital signal processor, TMS320-F2808, is used to execute the entire algorithm. The proposed method can be applied for electric vehicles or electric ships.

Implementation of maximum power recovery for a dual-PMSM system

This paper proposes an implementation to achieve a regenerative braking control for a dual-PMSM drive system. By using the proposed maximum efficiency searching algorithm, maximum power recovery from the braking control can be obtained. A digital signal processor, TMS 320F 2808, is used to execute all of the control algorithms, including dual-motor driving control, dual-motor regenerative braking control, and a maximum power recovery algorithm. Experimental results can validate the correctness and feasibility of the proposed method.