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This paper presents a new load forecasting system based on the complex system theory. The power network is a complex nonlinear system. The complex system analysis theory is applied to divide a power network into some sub-system according to its different area position and load type, and then uses the BP neural network incorporated with weather influence factors forecast the load value respectively...
Based on the line balancing, the assembly process of the automobile gearbox was analyzed. By using the Method Study in the line balancing - Program Analysis, the entire assembly process was studied to readjust the bottleneck process. The operation time is reduced and the assembling progress is optimized as the result of the readjustment, and the result can provide reference for the line balancing...
In view of improving control capability, a current controller of the permanent magnet spherical stepper motor was designed in this paper. Adaptive and switching control algorithms assured the rotor to drive mechanical loads following the continuous path motion and alleviating the tracking errors. Current-tracking PWM technology was applied in the controller. Simulation and experiment results show...
With the analysis of the present condition and process reengineering of the transmission case assembly line, we can draw operation process chart, measure and record the necessary data from the various processes by the methods of the industrial engineering, such as the Principles of ECRS, Program Analysis Method and Production Line Balancing, etc. We can make a series of work to improve and optimize...
The capability of conventional detection method such as power spectral density is limited while detecting periodic signals buried in the noise and deciding accurate frequency, the chaotic oscillator can increase the detection ability of weak periodic signals and improve frequency precision. In this paper, a new method based on duffing oscillator is proposed to detect weak signals. The chaos characteristic...
On the basis of analysing the error of robot that results from walking in plane, a new PID controller with BP neural networks is proposed in the paper. The BP Neural Network algorithm is used in PID control because it could adjust parameters itself in real time. By using the BP Neural Network PID controller, the robot can go straight accurately. Simulation results demonstrate that the new PID controller...
Power flow calculation is the most important and basic calculation in power system. This calculation is not only a very important calculation to seize power system planning and operation of the system state, but also a very important calculation for the analytical systems such as the stability index. The algorithm is usually Newton-Larfson , the P-Q algorithm, etc. However, the traditional methods...
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