IEEE Transactions on Industrial Electronics 

Volume 44,  Number 6, Dec 1997           Access to the journal on IEEE XPLORE     IE Transactions Home Page



44.6.1    N.K. Sinha, "Guest Editorial," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 745-745, Dec 1997.   Abstract Link    Full Text

Abstract: Not Available

44.6.2    Shuzhi S. Ge, C.C. Hang, L.C. Woon, "Adaptive neural network control of robot manipulators in task space ," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 746-752, Dec 1997.   Abstract Link    Full Text

Abstract: In this paper, the adaptive neural network control of robot manipulators in the task space is considered. The controller is developed based on a neural network modeling technique which neither requires the evaluation of inverse dynamical model nor the time-consuming training process. It is shown that, if Gaussian radial basis function networks are used, uniformly stable adaptation is assured and asymptotically tracking is achieved. The controller thus obtained does not require the inverse of the Jacobian matrix. In addition, robust control can be easily incorporated to suppress the neural network modeling errors and the bounded disturbances. Numerical simulations are provided to show the effectiveness of the approach

44.6.3    K. Kiguchi, T. Fukuda, "Intelligent position/force controller for industrial robot manipulators-application of fuzzy neural networks," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 753-761, Dec 1997.   Abstract Link    Full Text

Abstract: An intelligent controller, which consists of an intelligent planner and an adaptive fuzzy neural position/force controller, is proposed for a robot manipulator. The proposed controller deals with the human expert knowledge and skills for planning and control. In this paper, it is applied to the task of deburring with an unknown object. The effectiveness of the proposed controller is evaluated by computer simulations

44.6.4    Meng Joo Er, Kang Chew Liew, "Control of Adept One SCARA robot using neural networks," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 762-768, Dec 1997.   Abstract Link    Full Text

Abstract: This paper presents an enhanced feedback error learning control (EFELC) strategy for an n-degree-of-freedom robotic manipulator. It covers the design and simulation study of the neural network-based controller for the manipulator with a view of tracking a predetermined trajectory of motion in the joint space. An industrial robotic manipulator, the Adept One Robot, was used to evaluate the effectiveness of the proposed scheme. The Adept One Robot was simulated as a three-axis manipulator with the dynamics of the tool (fourth link) neglected and the mass of the load incorporated into the mass of the third link. For simplicity, only the first two joints of the manipulator were considered in the simulation study. The overall performance of the control system under different conditions, namely, trajectory tracking, variations in trajectory and different initial weight values were studied and comparison made with the existing feedback error learning control strategy. The enhanced version was shown to outperform the existing method

44.6.5    J.H.R. Enslin, M.S. Wolf, D.B. Snyman, W. Swiegers, "Integrated photovoltaic maximum power point tracking converter," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 769-773, Dec 1997.   Abstract Link    Full Text

Abstract: A low-power low-cost highly efficient maximum power point tracker (MPPT) to be integrated into a photovoltaic (PV) panel is proposed. This can result in a 25% energy enhancement compared to a standard photovoltaic panel, while performing functions like battery voltage regulation and matching of the PV array with the load. Instead of using an externally connected MPPT, it is proposed to use an integrated MPPT converter as part of the PV panel. It is proposed that this integrated MPPT uses a simple controller in order to be cost effective. Furthermore, the power converter has to be very efficient, in order to transfer more energy to the load than a directly-coupled system. This is achieved by using a simple soft-switched topology. A much higher conversion efficiency at lower cost will then result, making the MPPT an affordable solution for small PV energy systems

44.6.6    J.M. Barnard, J.A. Ferreira, J.D. van Wyk, "Sliding transformers for linear contactless power delivery," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 774-779, Dec 1997.   Abstract Link    Full Text

Abstract: Contactless power delivery systems for mobile loads use transformers comprised of a core with a secondary winding sliding along an extended primary winding. The sliding transformer is identified as the most limiting component in the system and is analyzed by representing it as a special, multiturn power transmission line. Two performance parameters, namely the transmission line efficiency and system penalty factor, are introduced. It is shown that fundamental restrictions may limit the attainable performance of the system. The inductance of the primary winding is identified as a parameter which can be optimized to improve the system performance. Experimental results for a short- and a long-stroke transformer are presented

44.6.7    M.P.N. van Wesenbeeck, J.B. Klaasens, U. von Stockhausen, A. Munoz de Morales Anciola, S.S. Valtchev, "A multiple-switch high-voltage DC-DC converter," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 780-787, Dec 1997.   Abstract Link    Full Text

Abstract: Series connection of power devices has evolved into a mature technique and is widely applied in HV DC power systems. Static and dynamic voltage balance is ensured by shunting individual devices with dissipative snubbers. The snubber losses become pronounced for increased operating frequencies and adversely affect power density. Capacitive snubbers do not exhibit these disadvantages, but they require a zero-voltage switching mode. Super-resonant power converters facilitate the principle of zero-voltage switching. A high-voltage DC-DC power converter with multiple series-connected devices is proposed. It allows the application of nondissipating snubbers to assist the voltage sharing between the multiple series-connected devices and lowers turnoff losses. Simulation results obtained with a circuit simulator are validated in an experimental power converter operating with two series-connected devices. The behavior of the series connection is examined for MOSFETs and IGBTs by both experimental work with a 2 kW prototype and computer simulation. Applications can be found in traction and heavy industry, where the soft-switching power converter is directly powered from a high-voltage source

44.6.8    Wai Keung Mo, D.K.W. Cheng, Y.S. Lee, "Simple approximations of the DC flux influence on the core loss power electronic ferrites and their use in design of magnetic components ," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 788-799, Dec 1997.   Abstract Link    Full Text

Abstract: The effect of DC flux on the core loss is examined for the practical range of power and frequency. Relevant core loss equations are derived and applied to an optimization algorithm to determine the minimum core loss at a given ratio of s (DC flux density to AC peak flux density). It has been found that the curves of hysteresis loss density versus the ratio of s exhibit a peak at a critical ratio. Below or above this critical ratio, the loss density decreases drastically. On the other hand, the curves of eddy-current loss density versus the ratio of s exhibits a minimum point at a critical ratio. Below or above this critical ratio, the loss density increases gradually

44.6.9    Tzu-Shien Chuang, C. Pollock, "Robust speed control of a switched reluctance vector drive using variable structure approach," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 800-808, Dec 1997.   Abstract Link    Full Text

Abstract: The robust speed control of a switched reluctance vector drive is presented in this paper. An approximate sliding-mode input power controller and another feedforward sliding-mode speed controller are combined with space voltage vector modulation. The resultant drive has rapid and robust speed response. In addition, a switched reluctance motor (SRM) drive incorporating the proposed controller requires only one current sensor and can be implemented in a low-cost 8-bit microcomputer and a few discrete integrated circuits. Furthermore, the controller does not require any offline characterization of the motor or load characteristics and could easily be applied to SRMs with any number of phase windings. A 4 kW four-phase SRM drive is constructed to test the performance of the controller. The results show that a step response from 200 to 1980 RPM needs only 2-3 s, even when driving a high-inertia load, and that the speed error can be controlled below 1%, even under unknown and dynamic loads. It is concluded that modified sliding-made controllers are effective in dealing with the highly-nonlinear characteristics of the SRM drive system

44.6.10    Jae Ho Chang, Byung Kook Kim, "Minimum-time minimum-loss speed control of induction motors under field-oriented control," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 809-815, Dec 1997.   Abstract Link    Full Text

Abstract: A new minimum-time minimum-loss speed control algorithm for induction motors is suggested to obtain high performance, as well as high efficiency, under field-oriented control with practical constraints on voltage and current. This algorithm utilizes a two-stage control. In the transient stage, a maximum torque control algorithm is utilized to get the minimum-time response. In the steady state, a minimum-loss control algorithm is applied to improve the efficiency. Simulation studies show the performance of the proposed minimum-time minimum-loss control algorithm under field-oriented control

44.6.11    R.A. Boie, W. Turin, "Noise-limited reading of bar codes," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 816-824, Dec 1997.   Abstract Link    Full Text

Abstract: The ubiquitous supermarket checkout scanner is a well-engineered and effective device. Existing scanners rely on simple and low-cost signal processing to interpret bar-code signals, which imposes restrictions on the system noise power that they can tolerate. In this paper, the authors describe the relationships between engineering parameters of the system that limit reader performance. If the combined noise is Gaussian, they show that the reader error probability depends on a single parameter, which they call a timing signal-to-noise ratio

44.6.12    V.D. Kapsalis, S.A. Koubias, G.D. Papadopoulps, "Implementation of a MAC-layer protocol (GIT-CSMA/CD) for industrial LAN's and its experimental performance," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 825-839, Dec 1997.   Abstract Link    Full Text

Abstract: This paper describes the pilot implementation of a local area network by using a hybrid medium access control (MAC) layer protocol, called group implicit token-carrier sense multiple access with collision detection (GIT-CSMA/CD) developed for hard real-time industrial local area networks (LANs). This protocol outperforms standard CSMA/CD and token-passing protocols, as well as other hybrid protocols, in terms of mean and maximum packet delays versus throughput. Also, GIT-CSMA/CD offers bounded packet delay and a great degree of adaptation to the varying requirements imposed by the user applications. A seven-node pilot network was set up and its experimental performance evaluated. The implementation of the network node is based on the existing microcontroller technology (INTEL 80C3152 Communication Controller) and field programmable gate array (FPGA) logic (XILINX XC3190). The measurements carried out in real time on a 1-Mb/s LAN yielded reproducible results. The comparison between the experimental and the simulation results showed excellent agreement

44.6.13    Zheng Luo, Chwan-Hwa Wu, "A unit decomposition technique using fuzzy logic for real-time handwritten Chinese character recognition," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 840-847, Dec 1997.   Abstract Link    Full Text

Abstract: The purpose of this paper is to provide a real-time compact device for inputting handwritten characters to mobile personal digital assistants (PDAs). A novel method for the recognition of online handwritten Chinese characters is presented, giving emphasis to the representation of the patterns using fuzzy logic. The information contained in a character, including shapes of individual strokes and their relative spatial relations, is examined by inference of fuzzy rule base, and the fuzzified representation is organized in a matrix structure. It is well known that Chinese characters are comprised of a set of basic units, representing fundamental meanings. Hence, a unit extraction module is designed to search the possible units within characters. The input character object is recognized by a combination of units with the largest fuzzy confidence degree. The training capability, which provides the unit model set, is performed using the qualitative fuzzy c-means clustering algorithm. An experimental system is implemented that achieves a real-time recognition rate of about 95% with a test set of 550 characters and two cases for each character written by six users. The experimental system has an average real-time recognition speed of 0.5 s/character. The presented approach shows the following two significant advantages over other methods: (1) less training time; and (2) less storage required to store character models. These are two crucial factors in designing PDA devices for mobile communication

44.6.14    A. de la Escalera, L.E. Moreno, M.A. Salichs, J.M. Armingol, "Road traffic sign detection and classification," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 848-859, Dec 1997.   Abstract Link    Full Text

Abstract: A vision-based vehicle guidance system for road vehicles can have three main roles: (1) road detection; (2) obstacle detection; and (3) sign recognition. The first two have been studied for many years and with many good results, but traffic sign recognition is a less-studied field. Traffic signs provide drivers with very valuable information about the road, in order to make driving safer and easier. The authors think that traffic signs most play the same role for autonomous vehicles. They are designed to be easily recognized by human drivers mainly because their color and shapes are very different from natural environments. The algorithm described in this paper takes advantage of these features. It has two main parts. The first one, for the detection, uses color thresholding to segment the image and shape analysis to detect the signs. The second one, for the classification, uses a neural network. Some results from natural scenes are shown

44.6.15    K. Vasudevan, P.S. Rao, K.S. Rao, "Correction To Authors'-Reply To "discussion On "simulation Of Power Electronic Circuits Using Sparse Matrix Techniques"," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 860-860, Dec 1997.   Abstract Link    Full Text

Abstract: Not Available

44.6.16    "1997 Index IEEE Transactions On Industrial Electronics Vol. 44," IEEE Trans. on Industrial Electronics, vol. 44, no. 6, pp. 1-15, Dec 1997.   Abstract Link    Full Text

Abstract: Not Available