Yuan Li, Ruisheng Sun and Wei Chen
In this paper, an online convex optimization method for the exoatmospheric ascent trajectory of space interceptors is proposed. The purpose of this paper is to transform the…
Abstract
Purpose
In this paper, an online convex optimization method for the exoatmospheric ascent trajectory of space interceptors is proposed. The purpose of this paper is to transform the original trajectory optimization problem into a sequence of convex optimization subproblems.
Design/methodology/approach
For convenience in calculating accuracy and efficiency, the complex nonlinear terminal orbital elements constraints are converted into several quadratic equality constraints, which can be better computed by a two-step correction method during the iteration. First, the nonconvex thrust magnitude constraint is convexified by the lossless convexification technique. Then, discretization and successive linearization are introduced to transform the original problem into a sequence of one convex optimization subproblem, considering different flight phases. Parameters of trust-region and penalty are also applied to improve the computation performance. To correct the deviation in real time, the iterative guidance method is applied before orbit injection.
Findings
Numerical experiments show that the algorithm proposed in this paper has good convergence and accuracy. The successive progress can converge in a few steps and 3–4 s of CPU time. Even under engine failure or mission change, the algorithm can yield satisfactory results.
Practical implications
The convex optimization method presented in this paper is expected to generate a reliable optimal trajectory rapidly in different situations and has great potential for onboard applications of space interceptors.
Originality/value
The originality of this paper lies in the proposed online trajectory optimization method and guidance algorithm of the space inceptors, especially for onboard applications in emergency situations.
Details
Keywords
Qingli Lu, Ruisheng Sun and Yu Lu
This paper aims to propose and verify an improved cascade active disturbance rejection control (ADRC) scheme based on output redefinition for hypersonic vehicles (HSVs) with…
Abstract
Purpose
This paper aims to propose and verify an improved cascade active disturbance rejection control (ADRC) scheme based on output redefinition for hypersonic vehicles (HSVs) with nonminimum phase characteristic and model uncertainties.
Design/methodology/approach
To handle the nonminimum phase characteristic, a tuning factor stabilizing internal dynamics is introduced to redefine the system output states; its effective range is determined by analyzing Byrnes–Isidori normalized form of the redefined system. The extended state observers (ESOs) are used to estimate the uncertainties, which include matched and mismatched items in the system. The controller compensates observations in real time and appends integral terms to improve robustness against the estimation errors of ESOs.
Findings
Theoretical and simulation results show that the stability of internal dynamics is guaranteed by the tuning factor and the tracking errors of external commands are globally asymptotically stable.
Practical implications
The control scheme in this paper is expected to generate a reliable way for dealing with nonminimum phase characteristic and model uncertainties of HSVs.
Originality/value
In the framework of ADRC, a concise form of redefined outputs is proposed, in which the tuning factor performs a decisive role in stabilizing the internal dynamics of HSVs. By introducing an integral term into the cascade ADRC scheme, the compensation accuracy of matched and mismatched disturbances is improved.
Details
Keywords
Existing studies have been conducted to explain the process of digital transformation. This work aims to identify the paradoxes encountered by companies in undertaking digital…
Abstract
Purpose
Existing studies have been conducted to explain the process of digital transformation. This work aims to identify the paradoxes encountered by companies in undertaking digital transformation and the role of digital affordances in overcoming these paradoxes.
Design/methodology/approach
This study uses rich empirical data from four traditional Chinese manufacturers that have successfully achieved digital transformation to explain how companies can overcome the digital transformation paradox with the help of digital affordances.
Findings
The authors identify the paradoxes that traditional companies encounter when carrying out data transformation based on the experience of four Chinese traditional manufacturing enterprises that have successfully achieved digital transformation – the paradox of flexibility and stability of organization structure, the paradox of cost and profit and the paradox of perception between executives and employees. Based on this, we propose three digital affordances that play an important role in overcoming the digital transformation paradoxes – digital decentralization, digital agility and digital citizenship.
Originality/value
This study identifies three forms of critical digital affordances and introduces citizenship into digital transformation contexts.