The Matrix Converter (MC) evolved from the forced commutated cycloconverters and has been extensively investigated for more than thirty years. In this publication, the milestones in research on MCs in academia and industry are reviewed and presented chronologically and thematically ordered. The major contributions in the fundamental topic areas such as the development of the topology, topological extensions, commutation, modulation, loss calculation, control, or filtering and EMC are compiled and then expanded with examples of the latest activities in the corresponding field of research. In addition, an overview of the publicly reported research on MCs in industry is provided and the development of the commercialized MCs is briefly summarized. This review concludes with a brief comparison of the MC with the voltage source converter and a discussion of the current status of the MC technology and its future potential.
This paper presents the history of techniques used for sensorless control of the Interior Permanent Magnet Synchronous Machine (IPMSM) over the last 20 years. The techniques used in the first stage were based on the equivalent circuit of the IPMSM. They extracted rotor position information from the back EMF estimated through simple arithmetic. In the last 10 years, model reference adaptive control or observer-based control techniques have evolved and they have been used for the sensorless control of the IPMSM; however, the rotor position continues to be obtained from the back EMF. Simultaneously, sensorless control based on the magnetic saliency of the IPMSM has been achieved and commercialized. In this paper, an evaluation of the major techniques used for the sensorless control of the IPMSM has been presented, and their limitations have been clarified. Finally, the direction of future development of sensorless control is indicated.
This paper presents the concurrent designs of surface permanent magnet (SPM) machines for saliency-tracking self-sensing position estimation and power-conversion. Three SPM machine design approaches are discussed from the perspectives of position estimation and power-conversion. Finite element analysis (FEA) is mainly used in this study to obtain an insight into the magnetic behaviors in SPM machines. With the appropriate design modification, SPM machines can effectively increase the saliency for the closed-loop control while preserving their power-conversion capabilities.
This paper describes the performance and loss analysis of a three-port AC/DC/AC three-phase power converter based on the Japanese 10-15 mode vehicle driving pattern. The structure of the proposed circuit consists primarily of an indirect matrix converter (IMC) and a boost converter connected to the neutral point of the induction motor. The first part of this paper discusses a method for the optimization of the boost converter during single pulse modulation. The authors propose the implementation of feedforward compensation in the boost converter to suppress the battery ripple. Results show that the battery ripple is reduced by approximately 72% during single pulse modulation. The second part of this paper illustrates the behavior of the proposed converter when simulated under the Japanese 10-15 mode driving pattern. Converter losses under different conditions and circumstances are studied, and on the basis of the results, the optimal point of the power control for the converter is discussed.
This paper introduces the current status of Taiwan's smart grid technologies. The government policy and visions of the smart grid and the advanced metering infrastructure are first presented. An overview of the research effort in government laboratories and universities is also provided.
This paper proposes a new circuit configuration and a new control method for a single-phase-to-three-phase power converter with power decoupling function. The proposed converter does not require a large inductor and large smoothing capacitors in the DC link part. Such converters conventionally require large smoothing capacitors to absorb the power ripple with twice the power supply frequency. The proposed topology is constructed based on an indirect matrix converter with an active buffer to decouple the power ripple. The buffering energy is provided by the capacitor voltage variation rather than its capacitance. In addition, the transfer ratio between the input and output voltages is obtained to be 0.707 due to the connected charge circuit. The fundamental operations of the proposed converter are investigated by simulation and experiment. The experimental results reveal that the input and output current THD are 3.54 and 4.91%, respectively. An input power factor of over 99% is achieved. In addition, a maximum efficiency of 94.6% is obtained for a prototype circuit of 1kW.
In motion control, the number of controllers based on field programmable gate arrays (FPGAs) has increased in recent years owing to the inherent short sampling time. At present, the most commonly implemented velocity estimation methods are the M and T methods. The proposed velocity estimation method reduces the calculation time by eliminating the division operation and prevents reduction in resolution owing to a short sampling time. In addition, the proposed method shows a high performance across a wide range of velocities. Program implementation in FPGAs has a low computational cost and a high calculation speed. The conventional methods present some difficulties in programming using FPGAs owing to the divider implementation. The validity of the proposed method was tested using a velocity controller based on a disturbance observer.
This paper presents a practical auto-tuning technique based on a genetic algorithm (GA) for servo controllers of multi-axis industrial robots. Compared to conventional manual tuning techniques, the auto-tuning technique can help save an engineers' time and the cost of controller tuning, reduce performance deviation among products, and achieve higher control performance. The technique consists of two main processes. One is an autonomous system identification process involving the use of actual motion profiles of a typical robot. The other is an autonomous control gain tuning process in the frequency and time domains involving the use of a genetic algorithm, which satisfies the required tuning specifications, e. g., control performance, execution time, stability, and practical applicability in industries. The proposed technique has been validated through experiments performed with a six-axis industrial robot.