“…To validate the extremality of the feasible solution, we use (41) and (22) to descale the adjoint covectors and the evolution of the Hamiltonian respectively. The results are shown in Fig.…”
It is well-known that proper scaling can increase the efficiency of computational problems. In this paper we define and show that a balancing technique can substantially improve the computational efficiency of optimal control algorithms. We also show that non-canonical scaling and balancing procedures may be used quite effectively to reduce the computational difficulty of some hard problems. These results have been used successfully for several flight and field operations at NASA and DoD. A surprising aspect of our analysis shows that it may be inadvisable to use auto-scaling procedures employed in some software packages. The new results are agnostic to the specifics of the computational method; hence, they can be used to enhance the utility of any existing algorithm or software.
“…To validate the extremality of the feasible solution, we use (41) and (22) to descale the adjoint covectors and the evolution of the Hamiltonian respectively. The results are shown in Fig.…”
It is well-known that proper scaling can increase the efficiency of computational problems. In this paper we define and show that a balancing technique can substantially improve the computational efficiency of optimal control algorithms. We also show that non-canonical scaling and balancing procedures may be used quite effectively to reduce the computational difficulty of some hard problems. These results have been used successfully for several flight and field operations at NASA and DoD. A surprising aspect of our analysis shows that it may be inadvisable to use auto-scaling procedures employed in some software packages. The new results are agnostic to the specifics of the computational method; hence, they can be used to enhance the utility of any existing algorithm or software.
“…The solution to the optimal control problem are the reaction wheel torque trajectories, τ j ðtÞ, that minimize the cost function subject to the dynamic constraints and boundary conditions of problem Bðx o ; x f Þ in (12). Solutions to the optimal control problem in (12) are called shortest time maneuvers (STMs) [9] and can be obtained using a Legendre pseudospectral method [11].…”
Section: Time-optimal Maneuveringmentioning
confidence: 99%
“…For each nominal axis, various maneuver lengths: 11 to 121 in three degree increments followed by 151 to 901 in five degree increments, were solved using (12). The variability in slew times for each maneuver size, θ are denoted by the error bars in Fig.…”
Section: Time-optimal Maneuveringmentioning
confidence: 99%
“…The optimal control equivalent sphere, therefore, is simply used to represent the volume of a sphere that is equal to the volume of the agility envelope. While the optimal control equivalent sphere can be used to predict the benefits of optimal control without solving an optimal control problem, it is necessary to solve problem (12) in order to design maneuvers for flight implementation.…”
Section: Estimating Optimal Control Performancementioning
confidence: 99%
“…The first time-optimal attitude maneuvers performed on orbit were implemented as part of a series of attitude control experiments conducted on the NASA Transition Region and Coronal Explorer (TRACE) in August 2010 [9,10]. Successful ground tests of the concept for agile spacecraft actuated by control moment gyroscopes have also been performed at Honeywell [11,12]. The sum of these results showed that reductions in slew times greater than 50 percent are possible as compared with conventional maneuvers.…”
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