Zongji Chen's research while affiliated with Beihang University (BUAA) and other places
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Publications (14)
This paper presents a novel control method by integrating the sliding mode disturbance observer-based control and the backstepping control technique, and successfully applies it to a flight control system for heavy cargo airdrop operations. The super-twisting second order sliding mode disturbance observer (SOSMDO) is employed to estimate bounded bu...
Purpose
The purpose of this paper is to build nonlinear model of a small rotorcraft‐based unmanned aerial vehicles (RUAV), using nonlinear system identification method to estimate the parameters of the model. The nonlinear model will be used in robust control system design and aerodynamic analysis.
Design/methodology/approach
The nonlinear model i...
This paper presents a sliding mode disturbance observer-based constraint backstepping control approach (CBS/SMDO) to control a cargo aircraft during heavy cargo airdrop operation. The CBS/SMDO controller is capable of dealing with parametric uncertainties, external disturbances, and unmodeled dynamics in the presence of state/control constraints. T...
To improve the consistency of estimation result, a least-trace extended set-membership filter (LTESMF) is presented for a
class of nonlinear stochastic systems, which has linear output and unknown-but-bounded noise. Feedback technique is used instead
of the intersection of ellipsoid-sets in the measurement update. The feedback parameter is optimize...
Cooperative formation flight of Unmanned Air Vehicles (UAVs) becomes an attractive research field in recent years. The Simulation Platform of Multiple UAVs is a distributed interactive simulation environment based on High Level Architecture (HLA), which provides a universal simulation platform for the research of multiple UAVs, such as cooperative...
Current Unmanned Aerial Vehicles (UAVs) are designed to perform specific, limited mission profiles. The autonomous control technique is the foundation and key to implement these tasks in complex situation. The basic architecture and information flow of UAV autonomous control system (ACS) are detailedly discussed in this paper, including three level...
Future Aero Space Vehicle flies through both the atmospheric and extra atmospheric fields, which implies the autonomy and adaptability to the uncertainties from the system faults and changing environments. Algorithms based on fuzzy logic and linear programming are presented, which can implement the autonomous control reconfigurations under uncertai...
Concept and architecture of Autonomous Adaptive Control System (AACS) to deal with various uncertainties are proposed for Unmanned Aerial Vehicle (UAV). The top level of AACS is mainly focused on, which is developed to perform the autonomous decision-making and planning based on the extended situation assessment (SA). Wherein a Bayesian Belief Netw...
Intelligent tactical flight path planning system is proposed by integrating situation assessment with path planning. The algorithms of assessment for threat level and relative importance are established based on Bayesian networks and fuzzy logic. The flight path planning is implemented using the model predictive control depending on its receding ho...
For the problem of mission planning for multi uninhabited combat aerial vehicles (UCAV), a mathematic model is built and a hierarchical architecture of UCAV mission planning system is presented. As the key part of mission planning, the resource scheduling problem is discussed in detail and a resource scheduling algorithm based on genetic algorithm...
Unmanned Air Vehicles (UAVs) are becoming an integral part of future military forces. This paper presents a three-layer autonomous control architecture for UAV and discusses how each layer functions to enable autonomous operation of UAV. Mission planning is the kernel of UAV autonomous control system. In this paper, PGG (Plan-Goal Graph)-based miss...
The on-line estimation methods for the time-varying control effectiveness of linear control systems are investigated in this paper. Sufficient conditions for the control effectiveness matrix to be estimable are given. The on-line estimation algorithms based on the observer, equation-resolving and LS (Least-Square) methods are proposed, which are pr...
Citations
... Unfortunately, it is difficult to find more research that focuses on small-scale helicopters above 15 m/s forward speed. Apart from modeling by first physical principles, nonlinear models can also be obtained by nonlinear identification [16][17][18]. In the modeling, about 10~30 unknown parameters were selected for identification. ...
... is the time-varying control effectiveness, which can be estimated through the above algorithms in Section 3. The proposed algorithms [10] ensure production of the maximum control moment when control power is deficient, and the minimum fuel consumption when control power is sufficient compared to the desired one. The algorithms are divided into two branches [3,1112 , which will be discussed below. ...
... The flexibility and ability to describe complex relationships between various variables in a system offered by Bayesian networks mean that they have become a popular tool for analysing uncertain relationships involved in a random systems. A Bayesian network was used in [12] to construct an assessment model for the threats posed by aerial and ground targets; integrating the multiple features of the threat the network enabled the threat level posed by a specific target to be obtained. ...
... Tao adopted contract net method and devised a new scheduling approach of global optimal (Tao, 2006(Tao, , 2007. Yu studied a dynamic resource scheduling algorithm based on genetic algorithm (Yu, 2004). Stutzle studied the multiple UAVs scheduling algorithm based on particle swarm optimization (PSO) (Stutzle, 1997), etc. ...
... Disturbance observers (DOs) are effective tools for dealing with disturbances [25,26], as evidenced by types of DOs such as extended DOs [27], high-gain DOs [21], sliding mode DOs [28,29] and traditional disturbance observers (TDOs) [30][31][32]. What's more, estimation values from these DOs can be employed in controllers including sliding mode controllers [33][34][35] and backstepping controllers [24,36] to achieve better performance. However, if a system in severe environments has n actuators (n ≥ 2), coupled disturbances will be broadcast throughout a mechanical network of n actuators, which will amplify the effect of coupled disturbances. ...
... The method of set-valued estimation assumes that the noise disturbance of the measurement is norm-bounded. Based on this assumption, ellipsoids are constructed around the state estimate [22,23]. Here again, this method is encountered with the requirement of inspecting for certain existence conditions, which may limit the application of this method to recursive filtering. ...
