The solar-tracking optimal trajectory planning research based on minimum energy consumption in SSPS

Following the initial trajectory planning research on Integrated Symmetrical Concentrated architecture (ISC) which is a kind of a space solar power station (SSPS), a new trajectory optimization scheme adopting dynamic programming is presented, which combines the joint energy consumption with particle swarm optimization (PSO) algorithm. The advantage of the optimizing scheme can mitigate the difficulty in regulation and control due to the inertia shock of huge spatial structure during the course of solar-tracking, also it can balance the relationship between energy consuming and concentration efficiency. Firstly, the theory of energy-time integral in velocity space is given for this nonholonomic system; secondly, the angular positions of the joint are expressed as a set of spline interpolating functions expressed by piecewise 4-3-3-4 polynomial interpolation; then the dynamic programming is proposed which is realized by PSO searching algorithm; finally, a geometric method is proposed to analyze the relationship between the optimized position deviation and concentration efficiency, simulation results illustrate that the proposed optimization scheme can great mitigate the velocity sudden change and satisfy the required concentration efficiency. The proposed trajectory optimization strategy has practical engineering value for huge spatial structure especial in mechanism joint accelerant motion.