DGDaliang Gao
Daliang Gao
*This is an algorithmically generated author record based on publicly available information.
Daliang Gao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Chenrui Fu
Institute of Unmanned System, Beihang University, Beijing 100191, China
1 shared publication - Da Zhao
Institute of Unmanned System, Beihang University, Beijing 100191, China
1 shared publication - Hailiang Wang
Institute of Unmanned System, Beihang University, Beijing 100191, China
1 shared publication - Haixuan Han
Institute of Unmanned System, Beihang University, Beijing 100191, China
1 shared publication - Haoxuan Cheng
School of Aeronautic Science and Engineering, Beihang University, Beijing 102206, China
1 shared publication - Yunfei Wei
Institute of Unmanned System, Beihang University, Beijing 100191, China
1 shared publication
Latest Publications
- Open Access
Coupled Variable-Mass Flight Dynamics and Active Control of Unmanned Cargo Airships with Transient Hydrodynamic Effects
Large unmanned cargo airships may support heavy-lift logistics in regions without runway infrastructure, but payload release produces a rapid buoyancy surplus and changes the vehicle mass properties. This study develops a simulation framework coupling six-degree-of-freedom variable-property flight dynamics, an active seawater ballast system, and constrained ballast-flow allocation. The dynamics are referenced to a fixed body origin and retain the spatial-mass-matrix derivative and declared exchange-momentum wrench. A one-dimensional Method-of-Characteristics (MOC) solution provides a numerical reference for the reduced line-inertance runtime model. Fitting yields m and a 15.3% closure-interval normalized root-mean-square error (NRMSE), providing cross-model verification rather than experimental validation. Under the nominal 1201 s mission, the variable-property-aware case satisfies the predeclared criteria with a final-altitude error of 2.985 m and a steady-climb pitch RMS error of . A fair frozen-inertia ablation also passes and produces slightly lower nominal errors (2.806 m and ); hence, nominal superiority is not claimed. Across the five-point pitch-inertia sweep (0.70 to 1.30 times nominal), the variable-property-aware controller keeps the steady-climb pitch RMS error within –, whereas the frozen-inertia proportional–integral–derivative (PID) controller spans –; at 1.30 times nominal inertia, the variable-property-aware controller reduces pitch RMS error by 31.8% and settles 12.9 s earlier. All 21 independently rerun cases that jointly scale the nominal pump and valve time constants from 1.0 to 3.0 satisfy the declared criteria. In the , local parameter-dispersion study, all plotted trajectories remain state-bounded, while the wide altitude spread precludes a uniform tracking or reliability claim. The evidence supports numerical feasibility within the explicitly tested nominal, inertia, and actuator-time-constant cases while requiring configuration-specific trim and controller rematching before extrapolation; it does not constitute a reliability probability or global stability proof.Open AccessCoupled Variable-Mass Flight Dynamics and Active Control of Unmanned Cargo Airships with Transient Hydrodynamic Effects
Large unmanned cargo airships may support heavy-lift logistics in regions without runway infrastructure, but payload release produces a rapid buoyancy surplus and changes the vehicle mass properties. This study develops a simulation framework coupling six-degree-of-freedom variable-property flight dynamics, an active seawater ballast system, and constrained ballast-flow allocation. The dynamics are referenced to a fixed body origin and retain the spatial-mass-matrix derivative and declared exchange-momentum wrench. A one-dimensional Method-of-Characteristics (MOC) solution provides a numerical reference for the reduced line-inertance runtime model. Fitting yields m and a 15.3% closure-interval normalized root-mean-square error (NRMSE), providing cross-model verification rather than experimental validation. Under the nominal 1201 s mission, the variable-property-aware case satisfies the predeclared criteria with a final-altitude error of 2.985 m and a steady-climb pitch RMS error of . A fair frozen-inertia ablation also passes and produces slightly lower nominal errors (2.806 m and ); hence, nominal superiority is not claimed. Across the five-point pitch-inertia sweep (0.70 to 1.30 times nominal), the variable-property-aware controller keeps the steady-climb pitch RMS error within –, whereas the frozen-inertia proportional–integral–derivative (PID) controller spans –; at 1.30 times nominal inertia, the variable-property-aware controller reduces pitch RMS error by 31.8% and settles 12.9 s earlier. All 21 independently rerun cases that jointly scale the nominal pump and valve time constants from 1.0 to 3.0 satisfy the declared criteria. In the , local parameter-dispersion study, all plotted trajectories remain state-bounded, while the wide altitude spread precludes a uniform tracking or reliability claim. The evidence supports numerical feasibility within the explicitly tested nominal, inertia, and actuator-time-constant cases while requiring configuration-specific trim and controller rematching before extrapolation; it does not constitute a reliability probability or global stability proof.