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The objective of this research is to determine a near optimal fuel efficient control strategy for an electric propulsion space vehicle to attain a predefined velocity at the target. The control strategy is represented as a chromosome and micro genetic algorithms are used to find the best solution. The control strategy uses the space vehicle's reverse thrust and the sling effect caused by the Sun.
The objective of this research is to find a near optimal control strategy of an electric propulsion space vehicle to consume minimal fuel while traversing between two points in space. Micro genetic algorithms (GA) with the concept of Elitism is used to determine this optimal control
This paper demonstrates the utility of genetic algorithms (GAs) to determine a near optimal control strategy for electric propulsion systems. The various strategies implemented are simple GA, simple GA with elitism and micro GA. The accuracy and performance of the control strategy obtained using these methods are discussed along with their detailed description. This work inherently validates the use...
The objective of this paper is to briefly discuss the goal seeking with obstacle avoidance behavior (GSOA) for mobile robots. Hardware and software implementation using the Pioneer DX robot is also discussed. The detailed implementation of the MATLAB code with Visual C++ is also provided which is the underlying methodology for the software developed
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