This chapter contains sections titled: Introduction Voltage-Source Inverter Drives Equivalence of VSI Schemes to Idealized Source Average-Value Analysis of VSI Drives Steady-State Performance of VSI Drives Transient and Dynamic Performance of VSI Drives Consideration of Steady-State Harmonics Case Study: Voltage-Source Inverter-Based Speed Control Current-Regulated Inverter Drives Voltage Limitations of Current-Source Inverter Drives Current Command Synthesis Average-Value Modeling of Current-Regulated Inverter Drives Case Study: Current-Regulated Inverter-Based Speed Controller References Problems
This chapter contains sections titled: Introduction Machine Equations to Be Linearized Linearization of Machine Equations Small-Displacement Stability: Eigenvalues Eigenvalues of Typical Induction Machines Eigenvalues of Typical Synchronous Machines Transfer Function Formulation References Problems
This chapter contains sections titled: Introduction Magnetically Coupled Circuits Electromechanical Energy Conversion Machine Windings and Air-Gap MMF Winding Inductances and Voltage Equations References Problems
This chapter contains sections titled: * Introduction * Solid-State Converters for dc Drive Systems * Steady-State and Dynamic Characteristics of ac/dc Converter Drives * One-Quadrant dc/dc Converter Drive * Two-Quadrant dc/dc Converter Drive * Four-Quadrant dc/dc Converter Drive * Machine Control with Voltage-Controlled dc/dc Converter * Machine Control with Current-Controlled dc/dc Converter * References * Problems
In this paper, a new control strategy is proposed which is simple in structure and has the straightforward goal of minimizing the stator current amplitude for a given load torque. It is shown that the resulting induction motor efficiency is reasonably close to optimal and that the approach is insensitive to variations in rotor resistance. Although the torque response is not as fast as in field-oriented control strategies, the response is reasonably fast. In fact, if the mechanical time constant is large relative to the rotor time constant, which is frequently the case, the sacrifice in dynamic performance is insignificant relative to FO strategies. I. INTRODUCTION Field-oriented (FO) induction motor drive systems provide an ability to rapidly and accurately control the electromagnetic torque (l-21. A disadvantage is that in order to maintain a fast speed-of-response, it is necessary to operate at rated flux even at low values of torque. Thus, the efficiency and power factor can be quite poor at low torques, regardless of rotor speed. Addition- ally, accurate knowledge of the rotor resistance is necessary requiring on-line sensing and adaption approaches (2). An extensive amount of research has also been conducted in the areas of optimum efficiency control of induction motor drive systems (3-83. It has long been recognized that for a given torque and speed, it is possible to adjust the slip frequency so as to min- imize resistive and core losses thus maximizing the efficiency of the induction motor. Due to the complexity of the loss models, optimization was either performed numerically with the calcu- lated optimum slip stored in a look-up table E3-51 or using on- line search techniques (6-81. A disadvantage of the table-look-up approach is the necessity of accurate machine parameters which vary from one machine to another. Disadvantages of on-line search approaches include their complexity and their potential to exhibit hunting. In this paper, a new control strategy is proposed which is simple in structure and has the straightforward goal of minimiz- ing the stator current amplitude for a given load torque. It is shown that the resulting induction motor efficiency is reasonably
In this paper, a new technique useful for the numerical simulation of large-scale systems is presented. This approach enables the overall system simulation to be formed by the dynamic interconnection of the various interdependent simulations, each representing a specific component or subsystem such as control, electrical, mechanical, hydraulic, or thermal. Each simulation may be developed separately using possibly different commercial-off-the-shelf simulation programs thereby allowing the most suitable language or tool to be used based on the design/analysis needs. These subsystems communicate the required interface variables at specific time intervals. A discussion concerning the selection of appropriate communication intervals is presented herein. For the purpose of demonstration, this technique is applied to a detailed simulation of a representative aircraft power system, such as that found on the Joint Strike Fighter (JSF).This system is comprised of ten component models each developed using MATLAB/Simulink(TM), EASY5(TM), or ACSL(TM). When the ten component simulations were distributed across just four personal computers (PCs), a greater than 15-fold improvement in simulation speed (compared to the single-computer implementation) was achieved.
A candidate 20-kHz spacecraft power system which includes a series-parallel combination of four Mapham inverters connected to several types of loads is described. A computer simulation of the power system is used to illustrate its steady-state and dynamic performance on an end-to-end basis. Comparisons with measured data are made. It is shown that significant distortion of the 20-kHz bus voltage can occur due to the switching of the load converters. This distortion can be reduced by including a shunt-connected parallel resonant filter on the 20-kHz side of the load converter. It is also shown that the distortion can be reduced by using a pulse-density-modulated switching strategy
In this paper, a new control strategy is proposed which is simple in structure and has the straightforward goal of minimizing the stator current amplitude for a given load torque. It is shown that the resulting induction motor efficiency is reasonably close to optimal and that the approach is insensitive to variations in rotor resistance. Although the torque response is not as fast as in field-oriented (FO) control strategies, the response is reasonably fast. In fact, if the mechanical time constant is large relative to the rotor time constant, which is frequently the case, the sacrifice in dynamic performance is insignificant relative to FO strategies.
A previous paper described a detailed system model of a More Electric Aircraft power system employing a switched reluctance generator (Skvarenina et al., 1996). That model was written in the Advanced Control System Language (ACSL(R)). The work has been extended to allow two separate phase groups in the switched reluctance machine with independent loads. In addition, the models have been converted to utilize the Graphics Modelle(R) front-end for the ACSL system, which offers flexibility in running different system configurations. The Graphics Modeller and the underlying models for the machine and loads are described, and examples of system studies are shown using various loads, including passive loads, constant power loads, a brushless DC motor, and an electro-hydrostatic actuator. Results from the simulations are presented together with corroborating experimental test results
A detailed system model for a More Electric Aircraft power system equipped with a switched reluctance generator is described. Example computer studies for several types of generator loads, including passive, constant power, a brushless DC motor, and an electrohydrostatic actuator, are presented with corroborating experimental test results
A detailed system model for a More-Electric Aircraft power system equipped with a wound-rotor synchronous generator is presented. The simulation employs a new approach that automatically generates a state-space model of power components and the complete system. In this approach, the composite system state equations are established algorithmically given the standard node incidence matrix and elementary branch data (e.g. resistances, inductances, back emf's). The resulting state equations can be solved using a variety of numerical techniques or commercially available computer simulation programs. Example computer studies are presented and verified with experimental tests
A 6-phase synchronous machine connected to a rectifier is being used as the power source in many DC systems. In order to investigate power system behavior, it is necessary to simulate the generator/rectifier system accurately and in detail. A method of simulating this system and a comparison with laboratory tests are given in this paper including operation with and without a generator neutral connection