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In order to improve the reliability and viability, advanced aircraft is equipped with abundant multiple control surfaces. Control allocation is utilized to assign the virtual control torque to these redundant control surfaces. Due to physical and aerodynamic factors, there are some constraints impacting on each control surface, which makes the control allocation problem become more complex. In this...
In order to improve productivity and solve the Potential shortage of skilled workers in polishing manufacturing, a new type multi-station rotary polishing robot was proposed. The robot structure was discussed in some detail, the kinematics and inverse kinematics of this robot was analyzed By D-H parameter method. The maximum and minimum value in X, Y and Z direction of this robot work space was calculated...
Byproduct gas is an important secondary energy in steel plant, and the reasonable use of byproduct gas has a great significance. For the byproduct gas real-time scheduling problem in a steel plant in China, a hybrid genetic algorithm based scheduling method is proposed in this study. First, this method takes into account the differences of the scheduling units of gas consumption and the nonlinear...
In this paper, a novel unsupervised change detection approach based on cross-correlation coefficient is proposed. The cross-correlation coefficient is a measure of the similarity between two variables. The change detection problem can be understood as the process to partition two input images into two distinct regions, namely “changed” and “unchanged”, according to the binary change detection mask...
The detection of change is one of the most important tasks in remote sensing analysis. In this paper, a novel unsupervised change detection approach by minimizing the mean square error (MSE) is proposed. The difference image computed by the absolute-valued log ratio of the intensity values of two input images is partitioned into two distinct regions according to the change mask. For each region, the...
The Support Vector Machine method has a good learning and generalization ability. Unfortunately, there are no comprehensive theories to guide the parameter selection of the SVM, which largely limits its application. In order to get the optimal parameters automatically, researchers have tried a variety of methods. Using genetic algorithms to optimize parameters of an SVM Classifier has become one of...
A diagnosis method basing on neural network classifier, genetic algorithm (GA) and wavelet transform is proposed for a pulse width modulation voltage source inverter. It is used to detect and identify the transistor open-circuit fault. BP neural network (BPNN) is capable of recognition. However, it has shortcomings obviously. These are just advantages of GA, which has ability of global search. Thus...
Aimed at trajectory optimization problem for manned lunar landing mission, an overall mission optimization model was established, through which translunar trajectory, lunar parking orbit and transearth trajectory were designed optimally based on patched-conic technique. A hybrid approach combined genetic algorithm (GA) and sequential quadratic programming (SQP) was proposed to solve the optimization...
For the optimization of multi-project in condition of limited resources, it is very hard to obtain the satisfying computation result by using traditional methods. However, genetic algorithm is better than the traditional optimization methods for the best solution. Basing on the theorem of genetic algorithm and the characteristic of multi-project resource optimization, a mathematic model to optimize...
The capacity of multi-channel multi-hop network can be substantially increased by equipping each node with multi-radio which allow for simultaneous transmission, but there are still much interference between those transmission links without appropriate channel assignment due to limited non-overlapping channels, so further optimization is need to carefully assign channel for radios. This paper considers...
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