-The dynamic performance quality of SCDCS (Safety Critical Distributed control System) is pertinent to its dependability. To achieve the prescribed dynamic performance, a performance index describing converged speed o...
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-The dynamic performance quality of SCDCS (Safety Critical Distributed control System) is pertinent to its dependability. To achieve the prescribed dynamic performance, a performance index describing converged speed of system states is established based on the model-building of SCDCS that is networked on its state feedback loop. Meanwhile, a sufficient condition, which can guarantee SCDCS to be asymptotically stable under prescribed performance constraints, is derived by employment of the Lyapunov theory and the matrix measurement. Based on the condition, an algorithm for obtaining maximum allowable transfer interval is presented. Results of simulation indicate that the design method is less conservative and can not only guarantees system asymptotically stable, but also make it have desired dynamic performance.
An 3D measurement scheme by combining Gray code with Trapezoidal phase-shift is presented. The scheme computes the relative intensity ratios in a Trapezoidal phase-shift period using Trapezoidal phase-shift pattern. C...
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An 3D measurement scheme by combining Gray code with Trapezoidal phase-shift is presented. The scheme computes the relative intensity ratios in a Trapezoidal phase-shift period using Trapezoidal phase-shift pattern. Combining the Trapezoidal phase-shift with Gray code corresponding to sampling point, and the absolute intensity ratio of sampling point is determined. Then, 3D measurement is realized using projection geometry matrix model. Encoding and decoding principles by combining Gray code with Trapezoidal phase-shift are presented;period dislocation between Gray code and Trapezoidal phase-shift in course of decoding is analyzed, which could be corrected by judging the consistency between Gray code value increasing and phase mutation of adjacent pixels. Finally, simulation and real system were experimented. The experimental results indicate that relative measurement error of simulation system is about 0.0325% and that of real system is less than 4.0329%.
An assembly line balancing method based on Genetic algorithm (GA) and visual simulation is proposed for the assembly line dynamic balancing in order to take into account more factors in addition to the implicit factor...
An assembly line balancing method based on Genetic algorithm (GA) and visual simulation is proposed for the assembly line dynamic balancing in order to take into account more factors in addition to the implicit factors. Firstly, the assembly line virtual digital model is created based on systematic layout planning (SLP). Secondly, the GA for solving assembly line dynamic balancing is presented on the conditions that minimize the number of stations and the tasks assigned to a set of workstations with the same cycle time. In the view of assembly line visual modelling and simulation, the visual simulation based on eM-plant is adopted. This system framework and simulation process is discussed. The assembly line balancing system is developed based on the object-oriented language VC++6.0 with the access database. The gear-box assembly line case is studied by using this system. The results showed the method is valid and effective. It can be used to provide the technology support for improving the production efficiency and redesigning the assembly line for the manufacturing plant.
This paper uses an estimated noise transfer function to filter the input-output data and presents a filtering based recursive least squares algorithm for ARMAX models. Through the data filtering, we obtain two identif...
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This paper uses an estimated noise transfer function to filter the input-output data and presents a filtering based recursive least squares algorithm for ARMAX models. Through the data filtering, we obtain two identification models, one including the parameters of the system model, and the other including the parameters of the noise model. Thus, the recursive least squares method can estimate the parameters of these two identification models, respectively, by replacing unmeasurable noise terms in the information vectors with their estimates. The proposed F-RLS algorithm has high computational efficiency because the dimensions of its covariance matrices become small and can generate more accurate parameter estimation compared with other existing algorithms.
Present application status of CCD mosaics is introduced the error type which the technology of CCD mosaic produced is analyzed. A model which can analyze influence for overlap error of CCD mosaics to image quality is ...
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Present application status of CCD mosaics is introduced the error type which the technology of CCD mosaic produced is analyzed. A model which can analyze influence for overlap error of CCD mosaics to image quality is built. Modulation transfer function (MTF) is used as evaluating indicator which analyzes the influences of overlap error linear error and coplane error. The emulation produced that the three kinds of error influenced the image quality linear error influence is more at one direction with the same deflection angle coplane error influence decrease with the increasing of F number. Overlap error influenced image quality of adjacent of CCD edge and reduction pixel size can decrease the influence.
Generally, the inevitable problems in the fuzzy logic-PID (FLPID) control design are the trial and error of the setting of scale factors, membership functions and control rules. To solve these problems, this paper pro...
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ISBN:
(纸本)9781424452293
Generally, the inevitable problems in the fuzzy logic-PID (FLPID) control design are the trial and error of the setting of scale factors, membership functions and control rules. To solve these problems, this paper proposes the optimal FLPID controller design using bee colony optimization (BCO) for the load frequency control in the microgrid system. The considered microgrid is the hybrid wind-diesel isolated system. The BCO is applied to automatically optimize the FLPID controllers of governor in the diesel side and blade pitch control in the wind side. Simulation studies show the superior robustness of the optimal FLPID against system parameters variation in comparison with the optimal PID controller and the non-optimal FLPID controller.
Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is...
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Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is maximized. Labeled data, however, often consume much time and are expensive to obtain, as they require the efforts of human annotators. In order to cope with the problem of effectively combining unlabeled data with labeled data to find the embedding transformation, we propose a novel method, called subspace semi-supervised Fisher discriminant analysis (SSFDA), for semi-supervised dimensionality reduction. SSFDA aims to find an embedding transformation that respects the discriminant structure inferred from the labeled data and the intrinsic geometrical structure inferred from both the labeled and unlabeled data. We also show that SSFDA can be extended to nonlinear dimensionality reduction scenarios by applying the kernel trick. The experimental results on face recognition demonstrate the effectiveness of our proposed algorithm.
This paper presents a novel load variation compensation algorithm in a sensor-less BLDC motor drive for a reciprocating compressor. Periodic load variation of a reciprocating compressor leads to commutation position e...
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ISBN:
(纸本)9781424424900
This paper presents a novel load variation compensation algorithm in a sensor-less BLDC motor drive for a reciprocating compressor. Periodic load variation of a reciprocating compressor leads to commutation position error and instantaneous speed variation and causes large peak currents. The major concept of this study includes tracking the pattern of load torque and controlling the motor input voltage by the commutation point and PWM depending on the tracked load torque. The suggested method can reduce the cost because this method does not require additional current sensing or voltage comparison circuit. The utility of the suggested algorithm was confirmed by simulation and experimental results of a sensor-less BLDC motor drive.
The coiling temperature control of a typical steel strip mill was investigated. Due to the high speed of a strip and complex circumstance, it is very hard to set up a cooling model with high accuracy. A simplified dyn...
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The coiling temperature control of a typical steel strip mill was investigated. Due to the high speed of a strip and complex circumstance, it is very hard to set up a cooling model with high accuracy. A simplified dynamic model was proposed, based on which a cooling control scheme with combined feedforward, feedback and adaptive algorithms was developed. Meanwhile, the genetic algorithms were used for the optimization of model parameters. Simulations with a model validated using actual plant data were conducted, and the results have confirmed the effectiveness of the proposed control methods. At last, a simulation system for coiling temperature control was developed. It can be used for new product trials and newcomer training.
One kind of combustible gas alarms based on industrial Ethernet was designed to prevent the gas leakage in industrial production sites, The alarm adopted the high performance microprocessor LPC2214 as the main chip. T...
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One kind of combustible gas alarms based on industrial Ethernet was designed to prevent the gas leakage in industrial production sites, The alarm adopted the high performance microprocessor LPC2214 as the main chip. The embedded operating system μC/OS-Ⅱand TCP/IP protocol stack uIP running on LPC2214 constitute a development platform of application of the combustible gas alarm, The test shows that it can automatically and continuously detect combustible gas in industrial production sites in several positions;it can give out sound-light alarm and take protective measures immediately against the gas leakage; and it can send the detected data to PC through the Ethernet interface to realize the remote detection. The designed project provides a reference to design industrial devices based on industrial Ethernet
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