Analysis of a Fast Control Allocation approach for nonlinear over-actuated systems

Author(s):  
M.F. Santos ◽  
L.M. Honório ◽  
A.P.G.M. Moreira ◽  
P.A.N. Garcia ◽  
M.F. Silva ◽  
...  
2017 ◽  
Vol 57 (1) ◽  
pp. 268-282 ◽  
Author(s):  
P. A. Luppi ◽  
L. Braccia ◽  
P. G. Rullo ◽  
D. A. R. Zumoffen

2011 ◽  
Vol 383-390 ◽  
pp. 5700-5706
Author(s):  
Yong Chen ◽  
Xin Min Dong ◽  
Ya Li Chen ◽  
Long Wang ◽  
Jun Guo ◽  
...  

This paper presents the principle and application of a class of cascaded optimal control allocation approach for overactuated aircraft. The design is based on mixed optimized targets consisting of two parts: the tracking error of virtual control and the effectors’ error related to the preferred control vector. At each step, the unconstrained least square problem is solved through simple calculation to obtain the optimal solution. If any optimal commands exceed the position limit or rate limit, a scheme is designed to choose at most one effector set to its limit and the remaining virtual controls are redistributed among other unsaturated control effectors. The Simulation based on the ADMIRE model shows that the effectiveness of the proposed approach comparing with Cascaded Generalized Inverse and Fixed-Point Method.


Author(s):  
Molong Duan ◽  
Chinedum Okwudire

In over-actuated systems, an output can be realized through various control effort combinations. It is desirable to allocate the control efforts dynamically (as opposed to statically) in an optimal manner. In this paper, a proxy-based control allocation approach is proposed for multi-input, multi-output over-actuated systems. Instead of using real-time optimization for control allocation, the proposed method establishes an energy optimal subspace; it then defines a causally implementable proxy to accurately measure the deviation of the controlled system from the energy optimal subspace using matrix fraction description and spectral factorization. The control allocation problem is thus converted to a regulation problem, and is solved using a standard H∞ approach. The proposed method is validated through simulation examples, in comparison with an existing dynamic control allocation method. Significant improvements in energy efficiency without affecting the controlled output are demonstrated.


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