1,721,016 research outputs found

    MRAC load torque observer for position control of a brushless DC motor

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    A new control method for the robust position control of a brushless DC (BLDC) motor using the adaptive load torque observer is presented. For a BLDC motor system, approximately linearized using the held-orientation method, it is shown that the augmented state variable feedback can be applicable to this system. To overcome the problem of the unknown parameter, or of parameter variation such as a flux linkage, a model following adaptive control mechanism is employed for the load torque observer. Stability analysis is carried out using the Lyapunov stability theorem. As a result, the robustness can be obtained without affecting the overall system response. The load disturbance detected by the adaptive O-observer is compensated for by feedforwarding the equivalent current having the fast response

    Robust digital position control algorithm of PMSM using simple neural network compensator

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    A very simple control approach using a neural network for the robust position control of a permanent magnet synchronous motor (PMSM) is presented. The linear quadratic controller plus feedforward neural network compensator is employed to obtain the robust PMSM system approximately linearized using a field-orientation method for an AC servo. The neural network is trained in on-line phases and a feedforward recall and error back-propagation training compose this neural network. Since the total number of nodes is only eight, this system is realized easily by the general microprocessor. During normal operation, the input-output response is sampled and the weighting value is trained multi-times by an error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. The state space analysis is also performed to obtain the state feedback gains systematically. In addition, the robustness is also obtained without affecting overall system response. A floating-point digital signal processor DS1102 board (TMS320C31) realizes this method. The basic DSP software is used to write C-program, which is compiled by using ANSI-C style function prototypes

    ROBUST DIGITAL POSITION CONTROL OF BRUSHLESS DC MOTOR WITH ADAPTIVE LOAD TORQUE OBSERVER

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    A new control method for the robust position control of a brushless DC (BLDC) motor using the adaptive load torque observer is presented. It is shown that the augmented state variable feedback can be applied to the BLDC motor system approximately linearised using the field-orientation method. To overcome the problem of an unknown parameter or a parameter variation such as a flux linkage, an adaptive mechanism is employed. As a result, the robustness can be obtained without affecting the overall system response. The load disturbance is detected by the adaptive 0-observer of an unknown and inaccessible input, and is compensated by feedforwarding the equivalent current having the fast response

    Simple modeling of coplanar waveguide on thick dielectric over lossy substrate

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    We present a simple semi-empirical high-frequency equivalent circuit model to characterize the coplanar waveguide structure, which consists of relatively thick metal line on very thick polyimide over lossy substrate such as Si BICMOS wafer, Considering the geometric dependence of the conductive loss and the skin effect of the substrate loss, we derive modified models for the equivalent circuit elements, We verify the validity of our model by comparing it with the experimental measurement, Our model is simple enough not only to be suitable for efficient circuit simulation but also to be useful for process characterization and design.The authors would like to thank the Media Technology Team of Samsung Electronics Company Ltd., Korea, for help in the CPW fabrication process. They also appreciate the reviewers for their valuable comments

    A ROBUST DIGITAL POSITION CONTROL OF BRUSHLESS DC MOTOR WITH DEAD BEAT LOAD TORQUE OBSERVER

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    A new control method for the robust position control of brushless DC (BLDC) motor is presented. The linear quadratic controller pius load torque observer is employed to obtain the robust BLDC motor system approximately linearized using the field-orientation method for an ac servo. And the gains are obtained systematically from the discrete state space analysis. In addition, the robustness is also obtained without affecting the overall system response. The load disturbance is detected by a 0-observer of the unknown and inaccessible input, and is compensated by the feedforward without requiring the noisy current information. All these designs are done simply in the state space. Finally, the overall system is controlled by using the microprocessor and the performance of each control algorithm is compared with both the simulation and the experimental results for the two types of the machines, i.e., a BLDC motor and a brushless direct drive (BLDD) motor
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