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The motorcyclist's behaviour: trajectory, performance, errors, effective riding time, actions (starting, falling, turning…) and verbalizations.
Propulsion, weight, aerodynamics (geometry) and trajectory (performance) disciplines are used in an appropriate combination.
Robustness and good trajectory performance of the system on FPGA are demonstrated.
The simplified trajectory performance analysis is employed, and the vehicle is assumed to reentry with a given initial condition.
Finally, studies of physical experiments illustrate the validity of the control strategy with high-precision trajectory performance.
In particular, this data related to: The motorcyclist's behaviour: trajectory, performance, errors, effective riding time, actions (starting, falling, turning…) and verbalizations.
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The paper is illustrated by anaylsis of the trajectories and translational flight performance of blowflies (Calliphora vicina Robineau-Desvoidy) roaming within our apparatus.
Fig. 9 Experimental results: trajectory tracking performance of translational motion Fig. 10 Experimental results: trajectory tracking performance in the orientation direction Fig. 11 Experimental results: translational and rotational tracking errors Fig. 12 Experimental results: control input ({mathbf {u}}), i.e., supplied voltages of three DC motors.
Fig. 3 Simulation results: trajectory tracking performance of translational motion Fig. 4 Simulation results: trajectory tracking performance in the orientation direction Fig. 5 Simulation results: translational and rotational tracking errors Fig. 6 Simulation results: robot velocity Fig. 7 Simulation results: control input ({mathbf {u}}), i.e., supplied voltages of three DC motors.
A quantitative energy efficiency index is provided to better illustrate the MTPA trajectory tracking performance.
Trajectory tracking performance of the control system is evaluated using a generic helicopter model simulation program.
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