This article presents an evaluation of simplified model considering only q-axis current effects on parameters for rapid identification and control development of interior permanent magnet (IPM) traction machines. It i...
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This article presents an evaluation of simplified model considering only q-axis current effects on parameters for rapid identification and control development of interior permanent magnet (IPM) traction machines. It is shown that the identification of the simplified model is simple and easy to be implemented. It is demonstrated that in the low-speed region with maximum torque per ampere (MTPA) control, due to the flat segment around the MTPA point of the relevant constant torque over current magnitude curve, MTPA operation could still be achieved using the simplified model. It is shown that in the field-weakening (FW) region where the effects of parameter mismatch resulting in a higher-than-expected voltage magnitude could he mitigated via a voltage feedback (FR) loop, torque-speed performance still could be obtained with a reduction in the torque-speed boundary together with up to 1.5% machine efficiency difference. Thus, the simplified model could be considered at the earlier stage of identification and control development as a rapid solution to quickly test and validate IPM machine design/manufacture when the validation of the complex model considering the effects of both dq-axis currents is highly time-consuming. The simplified model is validated via measurement on a high-speed high-power (15000 r/min, 120 kW) IPM traction machine.
The paper presents a simplified analysis and control development method for IPM traction machines with skewed rotor using unskewed machine model. It is shown that the skewed machine characteristics under a given set o...
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ISBN:
(纸本)9781665435543
The paper presents a simplified analysis and control development method for IPM traction machines with skewed rotor using unskewed machine model. It is shown that the skewed machine characteristics under a given set of dq-axis currents could be obtained from the unskewed machine model using relevant modified dq-axis currents associated with the skewed information. Therefore, under the proposed method, the tested IPM machine model with skewed rotor could be rapidly derived from the unskewed machine model without FEA implementation for each skewed slice. It is demonstrated that in comparison with the FEA-based model, the proposed method could maintain up to 0.2% difference for both stator flux linkage and torque maps over dq-axis currents applied as well as 0.1% efficiency difference map over main torque speed operation. The proposed method is validated by FEA and measurement from a high-speed high-power (8000rpm, 80kW) IPM traction machine with skewed rotor.
The paper presents a comparative evaluation of simplified and complex interior permanent magnet (IPM) machine models for control development in traction applications. It is shown that although control implementation u...
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ISBN:
(纸本)9781728148786
The paper presents a comparative evaluation of simplified and complex interior permanent magnet (IPM) machine models for control development in traction applications. It is shown that although control implementation using the complex model could result in better IPM machine performances, in practice, validation of complex model is significantly complicated and deviations from assumed parameters may compromise the performance of the control scheme. It is demonstrated that the simplified model of which validation is simpler may provide similar performance compared with the complex model. Thus, the simplified model-based control method can be considered for traction applications at the earlier stage of control development or when validation of the complex machine model is difficult.
To reduce the energy consumption of building energy systems, efficient and well-tuned control strategies are needed. However, developing and benchmarking control strategies is a challenging task. Here, simulation-base...
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To reduce the energy consumption of building energy systems, efficient and well-tuned control strategies are needed. However, developing and benchmarking control strategies is a challenging task. Here, simulation-based controller tuning and testing is beneficial and more cost-efficient compared to experiments. However, generating a model for this purpose is time-consuming and profound expert knowledge is needed. An approach to reduce the modeling effort is to divide the overall system into frequently used subsystems and develop one model for each type of subsystem. In this paper, we present modular models for frequently used hydronic subsystems in air-handling units (AHU). The models are implemented in the modeling language Modelica with a high level of detail and provide a standardized connection interface to different controller models for testing and tuning. The developed subsystem models are validated using measured data of a real-world air-handling unit. The results show that the models have nearly the same static and dynamic behavior as the real system. The mean absolute percentage error (MAPE) between the simulation and measured data is in the range of 0.14% to 11.3% for all compared sensor values. In two case studies, the usage of the models for controller testing and tuning is demonstrated: the first case study deals with the tuning of a PI controller, and in the second case study we compare two control strategies regarding the control quality and energy consumption.
This work aims to present a modeling procedure, manufacturing process, electronic design, programming and communication system of a cyclist robot. The robot rider has the ability to ride a bicycle independently by mak...
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ISBN:
(纸本)9789897583803
This work aims to present a modeling procedure, manufacturing process, electronic design, programming and communication system of a cyclist robot. The robot rider has the ability to ride a bicycle independently by making decisions on shifts in balance that may occur during its motion by correcting its direction, balance adjust, and stop. Robot decision-making processes were embedded in a shared control system of interactions with the external environment by commands sent through wired serial link or radio frequency(RF), allowing arm and leg- movements. This was achieved using a dual board synchronization powered by Atmel micro-controllers (Arduino) and fed by information from an electronic gyroscope sensor, an accelerometer, and remote radio frequency (RF) receptor. The final prototype was able to pedal from inertia accelerating gradually to its full speed, stop the movement, and move its arms to recover balance.
Several vendors have recently been actively pursuing the development of integral pressurized water reactors (iPWRs) that range in power levels from small to large reactors. Integral reactors have the features of minim...
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Several vendors have recently been actively pursuing the development of integral pressurized water reactors (iPWRs) that range in power levels from small to large reactors. Integral reactors have the features of minimum vessel penetrations, passive heat removal after reactor shutdown, and modular construction that allow fast plant integration and a secure fuel cycle. The features of an integral reactor limit the options for placing control and safety system instruments. The development of instrumentation and control (I&C) strategies for a large 1,000 MWe iPWR is described. Reactor system modeling-which includes reactor core dynamics, primary heat exchanger, and the steam flashing drum-is an important part of I&C development and validation, and thereby consolidates the overall implementation for a large iPWR. The results of simulation models, control development, and instrumentation features illustrate the systematic approach that is applicable to integral light water reactors. Copyright (C) 2015, Published by Elsevier Korea LLC on behalf of Korean Nuclear Society.
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