142 research outputs found
Immersion and Invariance-based Disturbance Observer and Its Application to Safe Control
When the disturbance input matrix is nonlinear, existing disturbance observer
design methods rely on the solvability of a partial differential equation or
the existence of an output function with a uniformly well-defined disturbance
relative degree, which can pose significant limitations. This note introduces a
systematic approach for designing an Immersion and Invariance-based Disturbance
Observer (IIDOB) that circumvents these strong assumptions. The proposed IIDOB
ensures the disturbance estimation error is globally uniformly ultimately
bounded by approximately solving a partial differential equation while
compensating for the approximation error. Furthermore, by integrating IIDOB
into the framework of control barrier functions, a filter-based safe control
design method for control-affine systems with disturbances is established where
the filter is used to generate an alternative disturbance estimation signal
with a known derivative. Sufficient conditions are established to guarantee the
safety of the disturbed systems. Simulation results demonstrate the
effectiveness of the proposed method
Sliding modes in constrained systems control
AbstractโIn this paper, a sliding-mode-based design framework
for fully actuated mechanical multibody system is discussed.
The framework is based on the possibility to represent complex
motion as a collection of tasks and to find effective mapping of
the system coordinates that allows decoupling task and constraint
control so one is able to enforce concurrently, or in certain time
succession, the task and the constraints. The approach seems naturally
encompassing the control of motion systems in interaction,
and it allows application to bilateral control, multilateral control,
etc. Such an approach leads to a more natural interpretation of
the system tasks, simpler controller design, and easier establishment
of the systems hierarchy. It allows a unified mathematical
treatment of task control in the presence of constraints required
to be satisfied by the system coordinates. In order to show the
applicability of the proposed techniques, simulation and experimental
results for high-precision systems in microsystem assembly
tasks and bilateral control systems are presented
High order disturbance observer design for linear and nonlinear systems
ยฉ 2015 IEEE. In this paper, a disturbance observer is proposed for nonlinear systems with high order disturbance, where not only disturbance but also its high order derivatives are estimated. The relationship of the proposed observer with the existing results is discussed. Then, the result is further extended to the case of minimal-order output-based disturbance observer design for linear systems subject to high order disturbances. Two practical examples about actuator fault diagnosis for a nonlinear missile system and disturbance estimation for a double-effect pilot plant evaporator system with unobservable states are provided to illustrate the effectiveness of the proposed approaches
Reduced-order disturbance observer design for discrete-time linear stochastic systems
The conventional disturbance observers for discrete-time linear stochastic systems assume that the system states are fully estimable and the disturbance estimate is dependent on the estimated system states, hereafter termed Full-Order Disturbance Observers (FODOs). This paper investigates the design of Reduced-Order Disturbance Observers (RODOs) when the system state variables are not fully estimable. An existence condition of RODO is established, which is shown to be more easily satisfied than that of the conventional FODOs and consequently it has substantially extended the scope of applications of disturbance observer theory. Then a set of recursive formulae for the RODO is developed for on-line applications. Finally, it is furth
er shown that the conventional FODOs are a
special case of the proposed RODO in the sense that the former reduces to the RODO when the states become fully estimable in the presence of disturbances. Examples are given to demonstrate the effectiveness and advantages of the proposed approach
Safety Guaranteed Control for Spacecraft Inspection Mission
This paper investigates the safety guaranteed problem in spacecraft
inspection missions, considering multiple position obstacles and logical
attitude forbidden zones. In order to address this issue, we propose a control
strategy based on control barrier functions, summarized as "safety check on
kinematics" and "velocity tracking on dynamics" approach. The proposed approach
employs control barrier functions to describe the obstacles and to generate
safe velocities via the solution of a quadratic programming problem.
Subsequently, we design a proportional-like controller based on the generated
velocity, which, despite its simplicity, can ensure safety even in the presence
of velocity tracking errors. The stability and safety of the system are
rigorously analyzed in this paper. Furthermore, to account for model
uncertainties and external disturbances, we incorporate an immersion and
invariance-based disturbance observer in our design. Finally, numerical
simulations are performed to demonstrate the effectiveness of the proposed
control strategy.Comment: 22 pages, 9 figures, submitted to JGC
Multi-Objective Gust Load Alleviation Control Designs for an Aeroelastic Wind Tunnel Demonstration Wing
This paper presents several control and gust disturbance estimation techniques applied to a mathematical model of a physical flexible wing wind tunnel model used in ongoing tests at the University of Washington Aeronautical Laboratory's Kirsten Wind Tunnel. Three methods of gust disturbance estimation are presented, followed by three control methods: LQG, Basic Multi-Objective (BMO), and a novel Multi-Objective Prediction Correction (MOPC) controller. The latter of which augments a multi-objective controller, and attempts to correct for errors in the disturbance estimate. A simplified linear simulation of the three controllers is performed and a simple MIMO stability and robustness assessment is performed. Then, the same controllers are simulated in a higher fidelity Simulink environment that captures sampling, saturation and noise effects. This preliminary analysis indicates that the BMO controller provides the best performance and largest stability margins
ํด๋ฐํด ๊ตฌ์กฐ์ ์ธ๋ ๊ด์ธก๊ธฐ ๊ธฐ๋ฒ์ ์ด์ฉํ ๋ผ๊ทธ๋์ฃผ ์ ๊ถค๋ ์ฃผ๋ณ์์์ ๊ฒฝ๊ณ ์๋ ์ด๋ ๋ฐ ๊ถค๋์ ์ง
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ) -- ์์ธ๋ํ๊ต ๋ํ์ : ๊ณต๊ณผ๋ํ ๊ธฐ๊ณํญ๊ณต๊ณตํ๋ถ, 2020. 8. ๊น์ ๋จ.In this dissertation, a novel strategy for station-keeping and formation flight of spacecraft in the vicinity of unstable libration point orbits is presented, and its performance and stability are analyzed. The presented control strategy leverages the Hamiltonian nature of the equations of motion, rather than simply applying the control theory from the perspective of ``signal processing". A filtered extended high-gain observer, a kind of disturbance observer, is designed to mitigate the performance degradation of the control strategy due to model uncertainties and external disturbances.
Canonical coordinates are adopted to design a controller that exploits the mathematical structure of Hamiltonian system inherent in orbital mechanics, and then the equations of motion of spacecraft are represented in the form of Hamilton's equation with generalized coordinates and momenta. The baseline controller, utilizing the canonical form of the Hamiltonian system, is divided into two parts: i) a Hamiltonian structure-preserving control, and ii) an energy dissipation control. Hamiltonian structure-preserving control can be designed in accordance with the Lagrange-Dirichlet criterion, i.e., a sufficient condition for the nonlinear stability of Hamiltonian system. Because the Hamiltonian structure-preserving control makes the system marginally stable instead of asymptotically stable, the resultant motion of the Hamiltonian structure-preserving control yields a bounded trajectory. Through the frequency analysis of bounded relative motion, a circular motion can be achieved for particular initial conditions. By appropriately switching the gain of the Hamiltonian structure-preserving control, the radius of bounded motion can be adjusted systematically, which is envisioned that this approach can be applied to spacecraft formation flight. Furthermore, the energy dissipation control can be activated to make the spacecraft's bounded relative motion converge to the nominal orbit.
On the other hand, a filtered extended high-gain observer is designed for the robust station-keeping and formation flight even under highly uncertain deep-space environment. The filtered extended high-gain observer estimates the velocity state of the spacecraft and disturbance acting on the spacecraft by measuring only the position of the spacecraft. The filtered extended high-gain observer includes an integral state feedback to attenuate navigation error amplification due to the high gain of the observer. The global convergence of the observer is shown, and it is also shown that the tracking error is ultimately bounded to the nominal libration point orbit by applying the Hamiltonian structure-based controller.
Numerical simulations demonstrate the performance of the designed control strategy. Halo orbit around the L2 point of the Earth-Moon system is considered as an illustrative example, and various perturbations are taken into account.๋ณธ ๋
ผ๋ฌธ์์๋ ๋ถ์์ ํ ๋์ ํน์ฑ์ ๊ฐ๋ ๋ผ๊ทธ๋์ฃผ ์ ๊ถค๋ ์ฃผ๋ณ์์ ์์ฑ์ ๊ถค๋์ ์ง ๋ฐ ํธ๋๋นํ์ ์ํ ์ ์ด๊ธฐ์ ๊ด์ธก๊ธฐ๋ฅผ ์ค๊ณํ์์ผ๋ฉฐ, ์ค๊ณ๋ ์ ์ด๊ธฐ์ ๊ด์ธก๊ธฐ์ ์์ ์ฑ ๊ทธ๋ฆฌ๊ณ ์ ์ฒด ์์คํ
์ ์์ ์ฑ์ ๋ถ์ํ์๋ค. ์ค๊ณํ ๊ธฐ์ค ์ ์ด ์ ๋ต์ ์ ํธ์ฒ๋ฆฌ ๊ด์ ์ ์ ์ด์ด๋ก ์ ๊ธฐ๋ฐ์ผ๋ก ํ์ง ์๊ณ , ๋ผ๊ทธ๋์ฃผ ์ ๊ถค๋์ ์์ฐ์ ์ธ ์ํ์ ๊ตฌ์กฐ๋ฅผ ํ์ฉํ์๋ค. ๋ชจ๋ธ ๋ถํ์ค์ฑ๊ณผ ์ธ๋ถ ์ธ๋์ผ๋ก ์ธํ ๊ธฐ์ค ์ ์ด ์ ๋ต์ ์ฑ๋ฅ์ ํ๋ฅผ ์ํํ๊ธฐ ์ํด ์ธ๋๊ด์ธก๊ธฐ์ ์ผ์ข
์ธ ํ์ฅ ๊ณ ์ด๋ ๊ด์ธก๊ธฐ๋ฅผ ์ค๊ณํ์๋ค.
๋ณธ ๋
ผ๋ฌธ์์๋ ๊ถค๋์ญํ์ ๋ด์ฌ๋์ด ์๋ ํด๋ฐํด ์์คํ
์ ๊ตฌ์กฐ๋ฅผ ํ์ฉํ๋ ์ ์ด๊ธฐ๋ฅผ ์ค๊ณํ๊ธฐ ์ํด ์ ์ค์ขํ๋ฅผ ๋์
ํ์์ผ๋ฉฐ, ์ขํ๋ณํ์ ํตํด ์์ฑ์ ์ด๋๋ฐฉ์ ์์ ํด๋ฐํด ์์คํ
์ ์ ์คํ์์ผ๋ก ๋ํ๋ด์๋ค. ํด๋ฐํด ์์คํ
์ ์ ์คํ์์ผ๋ก ํํ๋ ์ด๋๋ฐฉ์ ์์ ์ด์ฉํด ์ค๊ณํ ๊ธฐ์ค ์ ์ด๊ธฐ๋ ํด๋ฐํด-๊ตฌ์กฐ ๋ณด์กด์ ์ด์ ์๋์ง ์์ฐ์ ์ด๋ก ๋ถ๋ฆฌ ์ค๊ณ๋๋ค. Lagrange-Dirichlet ๊ธฐ์ค์ ์ ์คํ์์ผ๋ก ๋ํ๋ธ ํด๋ฐํด ์์คํ
์ ๋น์ ํ ์์ ์ฑ์ ํ๋ณํ๋ ์ถฉ๋ถ์กฐ๊ฑด์ผ๋ก, ํด๋ฐํด-๊ตฌ์กฐ ๋ณด์กด์ ์ด ์ค๊ณ์ ๊ธฐ์ค์ด ๋๋ค. ๊ธฐ์ค ๋ผ๊ทธ๋์ฃผ ์ ๊ถค๋ ์ฃผ์์์ ํด๋ฐํด-๊ตฌ์กฐ ๋ณด์กด ์ ์ด๋ฅผ ์ ์ฉํ ๊ฒฐ๊ณผ, ์์ฑ์ ๊ธฐ์ค๊ถค๋๋ก ์๋ ดํ์ง ์๊ณ ๊ธฐ์ค๊ถค๋์ ์ ํํ ๊ฑฐ๋ฆฌ๋ฅผ ์ ์งํ๋ ๊ฒฝ๊ณ์ด๋์ ํ์๋ค. ๊ฒฝ๊ณ์ด๋์ ์ฃผํ์ ๋ถ์์ ํตํ์ฌ ํน์ ํ ์ด๊ธฐ์กฐ๊ฑด ํ์์๋ ์ํ ๊ฒฝ๊ณ์ด๋์ด ๊ฐ๋ฅํ์์ผ๋ฉฐ, ๋ ๋์๊ฐ ํด๋ฐํด-๊ตฌ์กฐ ๋ณด์กด์ ์ด์ ์ ์ด์ด๋ ๊ฐ์ ์ ์ ํ ์ค์ ํจ์ผ๋ก ์ํ ๊ฒฝ๊ณ์ด๋์ ํฌ๊ธฐ๋ฅผ ์ฒด๊ณ์ ์ผ๋ก ์กฐ์ ํ ์ ์๊ณ ์ด๋ฅผ ์์ฑ ํธ๋๋นํ์ ์์ฉํ ์ ์์์ ๋ณด์๋ค. ์ถ๊ฐ์ ์ผ๋ก ์๋์ง ์์ฐ์ ์ด ์
๋ ฅ์ ์ค๊ณํ์ฌ ์์ฑ์ด ๊ธฐ์ค ๋ผ๊ทธ๋์ฃผ ์ ๊ถค๋๋ก ์ ๊ทผ ์๋ ดํ๋ ์ด๋๋ ๊ฐ๋ฅํจ์ ์ํ์ ์ผ๋ก ์ฆ๋ช
ํ์๋ค.
ํํธ, ์ฌ์ฐ์ฃผ์์ ์์ธกํ๊ธฐ ์ด๋ ค์ด ์ญ๋๋ ฅ ๋ฐ ๋ถํ์ค์ฑ ํ์์๋ ๊ฐ๊ฑดํ ๊ถค๋์ ์ง์ ํธ๋๋นํ์ ์ํํ๊ธฐ ์ํด ํ์ฅ ๊ณ ์ด๋ ๊ด์ธก๊ธฐ๋ฅผ ์ค๊ณํ์๋ค. ํ์ฅ ๊ณ ์ด๋ ๊ด์ธก๊ธฐ๋ ์์ฑ์ ์์น ์ ๋ณด๋ง์ ์ด์ฉํ์ฌ ์์ฑ์ ์๋์ ์์ฑ์ ์์ฉํ๋ ์ธ๋์ ๋์์ ์ถ์ ํ๋ฉฐ, ์ถ์ ๋ ์ํ๋ณ์๋ฅผ ์ด์ฉํ์ฌ ๊ธฐ์ค์ด ๋๋ ํผ๋๋ฐฑ ์ ์ด์
๋ ฅ์ ์์ฑํ๋ค. ์ถ์ ๋ ์ธ๋์ ํผ๋ํฌ์๋ ํํ์ ์ ์ด์
๋ ฅ์ผ๋ก ๊ตฌ์ฑ๋์ด ์ ์ด๊ธฐ์ ์ฑ๋ฅ์ ๊ฐ๊ฑดํ๊ฒ ๋ง๋ ๋ค. ์ฌ์ฐ์ฃผ ๊ณต๊ฐ์์ ์์ฑ์ ๊ถค๋๊ฒฐ์ ๊ฒฐ๊ณผ๋ก ์ป์ด์ง๋ ์์น์ ๋ณด๋ ์๋์ ์ผ๋ก ํฐ ์ค์ฐจ๋ฅผ ๊ฐ๋๋ฐ, ํ์ฅ ๊ณ ์ด๋ ๊ด์ธก๊ธฐ๋ ์์น ์ค์ฐจ๋ฅผ ์ฆํญ์ํจ๋ค๋ ๋จ์ ์ด ์๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ์ด๋ฌํ ๋จ์ ์ ์ํํ๊ณ ์ ์ ๋ถ ๊ด์ธก๊ธฐ ํํ๋ก ๊ฐ์ ๋ ํํฐ๋ง๋ ํ์ฅ ๊ณ ์ด๋ ๊ด์ธก๊ธฐ๋ฅผ ์ค๊ณํ๊ณ ์๋ ด์ฑ์ ๋ถ์ํ์๋ค. ๊ทธ๋ฆฌ๊ณ ํํฐ๋ง๋ ํ์ฅ ๊ณ ์ด๋ ๊ด์ธก๊ธฐ์ ์์คํ
์ ํด๋ฐํด ๊ตฌ์กฐ๋ฅผ ํ์ฉํ๋ ์ ์ด๊ธฐ๋ฅผ ์ ์ฉํ ์ ์ฒด ์์คํ
์ ์์ ์ฑ์ ๋ถ์ํ์๋ค.
๋ถ์์ ํ ๋ผ๊ทธ๋์ฃผ ์ ๊ถค๋ ์ฃผ๋ณ์์ ์์ฑ์ ๊ถค๋์ ์ง์ ํธ๋๋นํ์ ์ํด ์ค๊ณ๋ ์ ์ด๊ธฐ๋ฒ์ ์ฑ๋ฅ์ ํ์ธํ๊ณ ์ ์์น ์๋ฎฌ๋ ์ด์
์ ์ํํ์๋ค. ์์น ์๋ฎฌ๋ ์ด์
์ ์ํด ์ง๊ตฌ-๋ฌ ์์คํ
์ L2 ์ฃผ๋ณ ํค์ผ๋ก ๊ถค๋๋ฅผ ๊ธฐ์ค๊ถค๋๋ก ์ค์ ํ์์ผ๋ฉฐ, ์ฌ์ฐ์ฃผ ๊ณต๊ฐ์์์ ๋ค์ํ ์ญ๋๋ ฅ ๋ฐ ๋ชจ๋ธ ๋ถํ์ค์ฑ์ ๊ณ ๋ คํ์๋ค. ๊ถค๋๊ฒฐ์ ์ค์ฐจ๋ก ์ธํ ์์ฑ์ ์์น ๋ฐ ์๋ ๋ถํ์ค์ฑ์ด ์กด์ฌ ํ๋๋ผ๋ ์ ์ํ ์ ์ด๊ธฐ๋ฒ์ ํตํด ์์ฑ์ด ๊ถค๋์ ์ง์ ํธ๋๋นํ์ ๋ง์กฑ์ค๋ฝ๊ฒ ์ํํจ์ ๋ณด์๋ค.1 Introduction 1
1.1 Background and Motivation 1
1.2 Literature Review 3
1.2.1 Spacecraft Station-Keeping in the Vicinity of the Libration Point Orbits 3
1.2.2 Spacecraft Formation Flight in the Vicinity of the Libration Point Orbits 5
1.3 Contributions 7
1.4 Dissertation Outline 10
2 Background 13
2.1 Circular Restricted Three-Body Problem 14
2.1.1 Equilibrium Solutions and Periodic Orbits 16
2.1.2 Stability of Periodic Orbits 20
2.2 Hamiltonian Mechanics 21
2.2.1 Hamiltonian Approach to CR3BP 21
2.2.2 Hamiltonian Approach to LPO Tracking Problem 22
3 Hamiltonian Structure-Based Control 25
3.1 Classical Linear Hamiltonian Structure-Preserving Control 27
3.2 Switching Hamiltonian Structure-Preserving Control 29
3.2.1 Orbital Properties of Spacecraft 33
3.2.2 Switching Point 1: From a Circular Orbit to an Elliptical Orbit 34
3.2.3 Switching Point 2: From an Elliptical Orbit to a Circular Orbit 37
3.3 Hamiltonian Structure-Based Control 39
3.3.1 Potential Shaping Control 39
3.3.2 Energy Dissipation Control 45
4 Filtered Extended High-Gain Observer and Closed-Loop Stability 49
4.1 Filtered Extended High-Gain Observer and Its Convergence 51
4.2 Closed-Loop Stability Analysis 56
5 Numerical Simulations 67
5.1 Disturbance Model 67
5.2 Navigation Error Model 68
5.3 Simulation Results 69
5.3.1 Simulation 1 71
5.3.2 Simulation 2 77
5.3.3 Simulation 3 81
5.3.4 Simulation 4 93
5.3.5 Simulation 5 98
6 Conclusion 101
6.1 Concluding Remarks 101
6.2 Further Work 103
Bibliography 105
๊ตญ๋ฌธ์ด๋ก 127Docto
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