Abstract: Design principle of SCR control system for modern diesel engine is based on MAP which is obtained from experiments. The data of urea injection is obtained from MAP, the many experiments with different revolutions and loads are necessary. MAP from experiments is not accurate, cannot be used for all the range exactly in case of engine running conditions. Therefore, it is very difficult to design PID controller based on MAP. Moreover, the robust performance can not be achieved. To overcome these problems, the control scheme based on artificial neural network (ANN) is proposed. This controller has good robust performance and rapid adjustment. From experiments, the system using this controller can achieve good performance.
Abstract: The convergence accuracy of distributed consensus with quantization communication depends on the quantization error and the convergence rate of the distributed consensus algorithm. In order to improve the accuracy and the convergence rate of distributed consensus under quantized communication, in the paper, based on the adaptively quantized scheme, we propose the pseudo multi-hop adaptively quantized distributed consensus algorithm. We analyze the convergence performance of the pseudo multi-hop adaptively quantized distributed consensus algorithm, and the algorithm can achieves a consensus in a mean square sense. Simultaneously, Simulations are present. Results show that the pseudo multi-hop adaptively quantized distributed consensus algorithm can reach an average consensus, and its convergence rate is higher than those of the other adaptive quantized distributed consensus algorithms.
Abstract: Quadruped robot is widely developed on the basis of bionic technology and has good structural stability and flexibility in uneven terrain. It is required of the quadruped robot to keep static balance while transportation task is executed. In this paper, first, the unstable problems during static walking on a slope have been analyzed in detail, and the stability criterion which considering affections of slope walking environment has been proposed. Based on static balance, the falling over problem and tumbling around the line connecting two support feet during gait transition problem have been solved. The gaits are planned to ensure omni-directional stable walking on a slope. Through walking experiments by computer simulation, the validity of the proposed method has been verified.
Abstract: This paper analyzes the existing problems of the present substation of substation voltage and reactive power integrated control. A design for substation’s voltage and reactive power integrated control based on fuzzy 17-area control method is proposed. We build a substation simulation model base on voltage and reactive power fuzzy integrated controller. In this way, we analyze and simulate this control system dynamic performance. The simulation results show that this kind of control idea is feasible and it can effectively improve the voltage qualification rate, reduce frequency of the adjusted taps of transformer and switch action of the capacitor. It has a good control effect.
Abstract: This paper is concerned with the problem of the stochastic admissibility for a class of nonlinear singular Markovian jump systems with time-delay by employing the free-weighting matrix method and the Lyapunov functional method. The singular matrices Er(t) in the discussed system are mode-dependent. A sufficient condition is presented to guarantee the considered system to be stochastically admissible. The proposed result is formulated in terms of linear matrix inequalities(LMIs). A numerical example is provided to verify the effectiveness of the obtained method.
Abstract: A method of analyzing the Six-axis force measuring system by hybrid modeling is introduced in this paper. The mapping function of signal voltage output, which is input vectors of the Neural Network (NN) model, and measuring force signal, which is output vectors of the NN model, is represented as two parts. The determined linear part obtains the main principle and the the information of transfer matrix. The undetermined nonlinear part are estimated by neural network. The problems about nonlinear error and coupling are solved. The accuracy and feasibility of the method are displayed by the result of experiment data simulation.
Abstract: The obstacle surmounting capability of traditional spherical mobile robot is limited, especially when the spherical mobile robot comes across vertical barrier. In this paper we design a new kind of spherical mobile robot with two-mass-one-spring mechanism based on tradition spherical mobile robot. This spherical robot could not only move agility and move with the zero turning radius like traditional spherical mobile robot but also jump in three-dimensional space. In this paper we build the mathematical model of robot jumping with friction. Numeric simulations are carried out for the model using Matlab and ADAMS, we get the similar curve. These simulation results verify the validity of the mechanics model. At last we design an experimental facility, verify the model of robot jumping by experiment. Our work will be the base of model machine designing.
Abstract: By combining with the research hot spot of intelligent control, the oxygen fuzzy-single neuron PID compound controller is designed based on control increment. It contains the advantages of fuzzy controller and the single neuron PID controller. The problem of causing the oscillation in switching two kinds of controllers is solved. The results of the dissolved oxygen fuzzy-single neurons PID controller and fuzzy controller simulation are compared. The results show that the control effect of dissolved oxygen is more ideal. Thus the algorithm is effective and feasible.
Abstract: Precise measurement of shape parameters of gear components is of ultimate importance for performance and service life of machinery. The conventional manual methods with aid of measurement tools rely largely on experiences of testing personnel. This study aims at developing an efficient and automatic methods for gear measurements, based on Fourier analysis with image processing software OPTIMAS. The shape parameters of gear are conveniently derived from the polar coordinates and the Fourier coefficients obtained from the image analysis software. The automatic methods are applied to two types of gear for illustration. The macro written for this purpose is presented and the measurement results are compared with conventional methods. It has been proven that Fourier analysis is a reliable and cost effective method for gear measurement. In addition, the results of Fourier analysis can be used to determine other parameters to characterize shape and size of the gear.
Abstract: A system is designed to monitor fault of sensors for aircraft engine real-time. SCM C8051F120 is used to control sensor signal acquisition process, and after processing and storage, the data will be transferred to the data processing unit via Ethernet for analysis and detection. ARM9 embedded computer based on WinCE is used as a data processing core for the data processing unit, three layers BP neural network is used as a sensor fault detection algorithm and troubleshooting software with C++ is developed. It can handle large amounts of data and improve processing efficiency. It has a good interface as well. Compared with current systems, it has been greatly improved in real-time and accuracy. After verification, the system is accurate and strong real-time, and can monitor aircraft engine sensor faults correctly.