Special Section on SRM and Drives
1. 1. D.A. Torrey, "Switched reluctance generators and their control," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 3-14, Feb. 2002. Full Text Link
Abstract : This paper discusses how the switched reluctance generator (SRG) converts energy as directed by a controller. Beginning with a review of the electromechanics of generation, the paper identifies the implications of the energy conversion process on how the SRG is controlled. The structure of the SRG controller for speed-control and power-control applications is discussed. Practical implementation details for commutation of the SRG are reviewed. Concepts are illustrated with a 6-kW SRG designed to serve as a starter/alternator in automotive applications
1. 2. T.J.E. Miller, "Optimal design of switched reluctance motors," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 15-27, Feb. 2002. Full Text Link
Abstract : The fundamental theory of the switched reluctance motor is presented with a number of new equations. It is used to show how the practical development of a design calculation should proceed, and this leads to a discussion of physical characteristics required to achieve satisfactory performance and to reduce acoustic noise. The paper makes a few generic observations on the characteristics of successful products that use switched reluctance motors. It is written at a basic engineering level and makes no attempt to apply sophisticated optimization theory
1. 3. I. Husain, "Minimization of torque ripple in SRM> drives," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 28-39, Feb. 2002. Full Text Link
Abstract : The torque pulsations in switched reluctance motors (SRMs) are relatively higher compared to sinusoidal machines due to the doubly salient structure of the motor. The magnetization pattern of the individual phases together with the T-i-&thetas; characteristics of the motor dictate the amount of torque ripple during operation. Both machine design and electronic control approaches have been used to minimize the torque ripple in SRMs. This paper presents an extensive review of the origin of torque ripple and the approaches adopted over the past decade to minimize the torque ripple. A hybrid torque-ripple-minimizing controller that incorporates the attractive features of some of the techniques developed in the past decade is presented along with simulation and experimental results
1. 4. M. Ehsani, B. Fahimi, "Elimination of position sensors in switched reluctance motor drives: state of the art and future trends," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 40-47, Feb. 2002. Full Text Link
Abstract : This paper covers the range of topics related to sensorless control of switched reluctance motor (SRM) drives from their fundamentals to their limitations and state of the art and future trends. This should help the reader to develop a systematic understanding of the sensorless techniques that have been developed over the past two decades. The inherent vulnerability to mechanical failures, extra cost, and size associated with external position sensors such as optical encoders, resolvers, and custom-designed Hall-effect sensors has motivated many researchers to develop sensorless control techniques for SRM drives. Ideally, it is desirable to have a sensorless scheme, which uses only terminal measurements and does not require additional hardware or memory while maintaining a reliable operation over the entire speed and torque range with high resolution and accuracy. Advances in the development of low-cost digital-signal-processor-based microcontrollers have paved the way for the fulfillment of this objective. It is, furthermore, our view that the existing trends in the development of more powerful processors will ultimately replace the concept of sensorless controls with the concept of eliminating the need for position sensing, a concept that will further revolutionize the motor drive technology
1. 5. R.B. Inderka, M. Menne, R.W.A.A. De Doncker, "Control of switched reluctance drives for electric vehicle applications," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 48-53, Feb. 2002. Full Text Link
Abstract : Dynamic controllers of switched reluctance drives adjust at least three variables, i.e., current amplitude, turn-on, and turn-off angles. In electric vehicle (EV) applications high efficiency of the drive over a wide speed range, wide torque bandwidth, and low torque ripple under varying DC-bus voltage conditions are important design goals. Hence, controllers of switched reluctance drives for EVs usually have a complex structure. In this paper, the demands on control accuracy of switched reluctance machine traction drives and the traction controller sampling frequency, which are necessary to take advantage of the switched reluctance machine dynamic capabilities, are discussed. To integrate the traction drive, the control commands need to be actualized with a sampling frequency of at least 100 Hz to meet the high-dynamic requirements of modern vehicle control systems, e.g., active cruise control, antislip control, and active damping of mechanical drivetrain oscillations. It is found that the switching angles have to be adjusted within one-tenth of a mechanical degree. This study shows that switched reluctance drives can fulfill all requirements needed for electric propulsion using standard microcontrollers or digital signal processors
1. 6. J. Reinert, S. Schroder, "Power-factor correction for switched reluctance drives," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 54-57, Feb. 2002. Full Text Link
Abstract : This paper evaluates the need for power-factor correction (PFC) in switched reluctance drive systems supplied from single-phase mains. The aim is to achieve interference values lower than the prescribed norms at minimal system costs and volume. It is shown that for certain applications, a PFC circuit has to be implemented, but simpler technical solutions are often possible. Finally, a suggestion is presented as to how a low-cost power-factor-corrected system should be built for high-volume production
Drive Control
1. 7. M. El-Habrouk, M.K. Darwish, "A new control technique for active power filters using a combined genetic algorithm/conventional analysis," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 58-66, Feb. 2002. Full Text Link
Abstract : In this paper, the computational problems associated with the optimization techniques used to evaluate the switching patterns for controlling variable-characteristics active power filters are presented and critically analyzed. Genetic algorithms (GAs) are introduced in this paper to generate a fast and accurate initial starting point in the highly nonlinear optimization space of mathematical optimization techniques. GAs tend to speed up the initialization process by a factor of 13. A combined GA/conventional technique is also proposed and implemented to reduce the associated computational burden associated with the control and, consequently, increasing the speed of response of this class of active filters. Comparisons of these techniques are discussed and presented in conjunction with simulation and practical results for the filter operation
1. 8. Tsang-Li Tai, Jian-Shiang Chen, "UPS> inverter design using discrete-time sliding-mode control scheme ," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 67-75, Feb. 2002. Full Text Link
Abstract : This paper presents a novel discrete-time sliding-mode control algorithm for an uninterruptible power supply (UPS) inverter design. The approach offers a dual-loop design, in which a current predictor utilizes the tracking error of output voltage to estimate the desired inductor current, while a current controller is adopted to regulate the inductor current and, thus, produces a control command to the pulsewidth modulation inverter. An explicit condition for stable controller design is derived. The efficacy of this scheme is validated via a successful implementation on a digital-signal-processor-based UPS inverter. The proposed scheme has shown its robustness on low output voltage distortion, excellent voltage regulation, and it is insensitive to load variation, even under nonlinear loads. Experimental studies were performed to further validate the effectiveness of this scheme
1. 9. T. Suntio, I. Gadoura, K. Zenger, "Input filter interactions in peak-current-mode-controlled buck converter operating in CICM," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 76-86, Feb. 2002. Full Text Link
Abstract : Peak-current-mode (PCM) control is a widely used method to control switched-mode converters. Most often an input filter is necessary to meet electromagnetic interference requirements. The input filter can cause instability and degradation of input and output dynamics if not properly designed. The input filter design from the output dynamics viewpoint has been addressed in numerous papers, resulting in well-agreed results in the case of direct duty-ratio control. The same methods and criteria have also been applied to PCM control, but the results have turned out to be conflicting. This paper shows that the adverse effect of the input filter on the output performance of a peak-current-controlled buck converter in continuous inductor-current mode is insignificant. The input performance is, however, significantly affected, necessitating the use of proper damping. It is also shown that the instability is caused solely by the instability of the input filter under negative incremental resistance. The methods used are unified in nature, but the results obtained in this study cannot be generalized to be valid for types of converters other than a buck converter
1. 10. M. Rodic, K. Jezernik, "Speed-sensorless sliding-mode torque control of an induction motor ," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 87-95, Feb. 2002. Full Text Link
Abstract : Novel induction motor control optimizing both torque response and efficiency is proposed in the paper. The main contribution of the paper is a new structure of rotor flux observer aimed at the speed-sensorless operation of an induction machine servo drive at both low and high speed, where rapid speed changes can occur. The control differs from the conventional field-oriented control. Stator and rotor flux in stator fixed coordinates are controlled instead of the stator current components in rotor field coordinates isd and isq. In principle, the proposed method is based on driving the stator flux toward the reference stator flux vector defined by the input command, which are the reference torque and the reference rotor flux. The magnitude and orientation angle of the rotor flux of the induction motor are determined by the output of the closed-loop rotor flux observer based on sliding-mode control and Lyapunov theory. Simulations and experimental tests are provided to evaluate the consistency and performance of the proposed control technique
1. 11. Hong-Zhou Tan, N. Sepehri, "Parametric fault diagnosis for electrohydraulic cylinder drive units," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 96-106, Feb. 2002. Full Text Link
Abstract : A novel model-based methodology for fault diagnosis (FD) of nonlinear hydraulic drive systems is presented in this paper. Due to its linear dependence upon parameters, a second-truncated Volterra nonlinear model is first used to characterize such systems. The versatile order-recursive estimation scheme is employed to determine the values of parameters in the Volterra model. The scheme also avoids separate determination of the model order; thus, the complexity of the search process is reduced. Next, it is shown that the estimated parameters, representing different states of the system, normal as well as faulty conditions, can be used to detect and isolate system faults in a geometric domain. Very promising results are exhibited via simulations as well as laboratory experiments. It is concluded that the developed parametric FD technique has potential to provide efficient condition monitoring and/or preventive maintenance in hydraulic actuator circuits
1. 12. F. Grasser, A. D'Arrigo, S. Colombi, A.C. Rufer, "JOE>: a mobile, inverted pendulum," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 107-114, Feb. 2002. Full Text Link
Abstract : The Industrial Electronics Laboratory at the Swiss Federal Institute of Technology, Lausanne, Switzerland, has built a prototype of a revolutionary two-wheeled vehicle. Due to its configuration with two coaxial wheels, each of which is coupled to a DC motor, the vehicle is able to do stationary U-turns. A control system, made up of two decoupled state-space controllers, pilots the motors so as to keep the system in equilibrium
1. 13. Chih-Min Lin, Chun-Fei Hsu, "Neural-network-based adaptive control for induction servomotor drive system," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 115-123, Feb. 2002. Full Text Link
Abstract : A neural-network-based adaptive control (NNAC) design method is proposed to control an induction servomotor. In this NNAC design, a neural network (NN) controller is investigated to mimic a feedback linearization control law; and a compensation controller is designed to compensate for the approximation error between the feedback linearization control law and the NN controller. The interconnection weights of the NN can be online tuned in the sense of the Lyapunov stability theorem; thus, the stability of the control system can be guaranteed. Additionally, in this NNAC system design, an error estimation mechanism is investigated to estimate the bound of approximation error so that the chattering phenomenon of the control effort can be reduced. Simulation and experimental results show that the proposed NNAC servomotor control systems can achieve favorable tracking and robust performance with regard to parameter variations and external load disturbances
1. 14. K.L. Shi, T.F. Chan, Y.K. Wong, S.L. Ho, "Speed estimation of an induction motor drive using an optimized extended Kalman filter," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 124-133, Feb. 2002. Full Text Link
Abstract : This paper presents a novel method to achieve good performance of an extended Kalman filter (EKF) for speed estimation of an induction motor drive. A real-coded genetic algorithm (GA) is used to optimize the noise covariance and weight matrices of the EKF, thereby ensuring filter stability and accuracy in speed estimation. Simulation studies on a constant V/Hz controller and a field-oriented controller (FOC) under various operating conditions demonstrate the efficacy of the proposed method. The experimental system consists of a prototype digital-signal-processor-based FOC induction motor drive with hardware facilities for acquiring the speed, voltage, and current signals to a PC. Experiments comprising offline GA training and verification phases are presented to validate the performance of the optimized EKF
1. 15. Faa-Jeng Lin, Rong-Jong Wai, Wen-Der Chou, Shu-Peng Hsu, "Adaptive backstepping control using recurrent neural network for linear induction motor drive," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 134-146, Feb. 2002. Full Text Link
Abstract : An adaptive backstepping control system using a recurrent neural network (RNN) is proposed to control the mover position of a linear induction motor (LIM) drive to compensate the uncertainties including the friction force in this paper. First, the dynamic model of an indirect field-oriented LIM drive is derived. Then, a backstepping approach is proposed to compensate the uncertainties including the friction force occurred in the motion control system. With the proposed backstepping control system, the mover position of the LIM drive possesses the advantages of good transient control performance and robustness to uncertainties for the tracking of periodic reference trajectories. Moreover, to further increase the robustness of the LIM drive, an RNN uncertainty observer is proposed to estimate the required lumped uncertainty in the backstepping control system. In addition, an online parameter training methodology, which is derived using the gradient-descent method, is proposed to increase the learning capability of the RNN. The effectiveness of the proposed control scheme is verified by both the simulated and experimental results
1. 16. R. Leidhold, G. Garcia, M.I. Valla, "Field-oriented controlled induction generator with loss minimization," IEEE Trans. on Industrial Electronics, vol. 49, no. 1, pp. 147-156, Feb. 2002. Full Text Link
Abstract : In this paper, a strategy to control an induction generator (IG) working with variable speed and load is presented and discussed. An inverter and a field-oriented controller are used in order to excite the induction machine (IM) efficiently, minimizing copper and iron losses, and to regulate the generated voltage. The proposed IG system is a stand-alone (not grid connected) system. It is used to produce electrical DC energy, to charge a battery bank, and/or to supply DC loads with maximum efficiency. A laboratory setup, based on a conventional 4 kW squirrel-cage IM, has been implemented. Experimental results are presented in order to validate the proposed strategy
Power Electronics
Robotic and Vision
Emerging Technologies
1. 29. R.R.
Mudholkar, S.R. Sawant, "Fuzzy logic transformer build estimation," IEEE Trans.
on Industrial Electronics, vol. 49, no. 1, pp. 264-267, Feb. 2002. Full Text
Link
Abstract : Mechanical fitting of transformer
windings tightly into the core ensures an efficient use of window space. Fuzzy
logic transformer build estimation is intended to implement approximate
solutions suggested in imprecise terms for the better mechanical fit of
windings into the core. For imperfect fit, it readjusts the buildup parameters
in iterations to optimize mechanical fit. The results have demonstrated the
potentiality of usage of fuzzy logic in the mechanical-fit process of a
transformer