Accommodating Sensor Bias in MRAC for State Tracking

Patre, Parag; Joshi, Suresh M.

doi:10.2514/6.2011-6605

Cited by 13 publications

(11 citation statements)

References 9 publications

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“…This work has been extended by the same authors for a MIMO plant in the case of output-feedback for output-tracking (OFOT) 9 and state-feedback for output-tracking (SFOT) 10 . Patre et al 11 considers the problem of mitigating unknown sensor bias in a direct reference adaptive control setting for statetracking using the state-feedback (SFST). All the above methods deal with the estimation and compensation of the sensors measurement errors.…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Control Laws against Sensors Failures for Hypersonic Flight

Poderico¹,

Morani²,

Sollazzo³

et al. 2012

18th AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference

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In this paper a Fault-Tolerant Control strategy against sensors failures for Hypersonic flight has been proposed. The novel approach is based on the robustness capabilities of Direct Model Following (DAMF) method and at the same time it uses sensors accuracy information to improve the adaptivity to sensors failures. DAMF is a Model Reference Control Strategy that asymptotically guarantees a null error between the output of the reference model and the one of the real plant, through a direct adaptation of control loop gains. The proposed algorithm modifies the Direct Adaptive Model Following method by adding a module, that varies the controller parameters having a direct influence on the updating rules of controller gains (i.e. on the adaptive capability of the controller) to obtain Fault Tolerance capabilities. A numerical analysis, carried out by using the flight dynamics model of FTB X vehicle, a flying test bed designed in the framework of Unmanned Space Vehicle programme of Italian Aerospace Research Centre, has demonstrated that the proposed fault-tolerant algorithm has good tracking performances and global closed loop stability in case of both single and multiple failures. Nomenclature x = plant system state vector y = plant system output vector y m = reference system output vector A m = reference system parameters B m = reference system parameters r = reference system input vector u = control law G 0 = adaptation gain matrix C 0 = adaptation gain matrix ν = adaptation gain matrix K 0 = feed-forward gain matrix P = matrix solution of the Lyapunov equation Q = positive definite weighting matrix A e = error matrix γ 1 = adaptation speed parameter γ 2 = adaptation speed parameter γ 3 = adaptation speed parameter R = matrix of the states feedback variables uncertainties R 0 = nominal value matrix of the states feedback variables uncertainties k = a scale factor α = angle of attack q = pitch rate σ = standard deviation of the sensor noise

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Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Control Laws against Sensors Failures for Hypersonic Flight

Poderico¹,

Morani²,

Sollazzo³

et al. 2012

18th AIAA/3AF International Space Planes and Hypersonic Systems and Technologies Conference

View full text Add to dashboard Cite

show abstract

“…One of the important points to note after this step is to increase the capacity of the new posts and lines. For this purpose, each of the stages of development of substation and transmission line planning is carried out with the aim of minimizing the cost of development and meeting network needs [1][2][3][4]. Given the significant advantages of electric power over other energies, it is predicted to be simple and convenient for long-distance distribution and transferability, with the largest energy consumption in the next century being electricity and the distribution network responsible for providing electricity.…”

Section: Introductionmentioning

confidence: 99%

Time-Based Development Plans for Distribution Networks in the Presence of Distributed Generators and Capacitor Banks

Mahdiraji

2020

Health Sci. Q.

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In this paper, a time-based model for distribution network development planning is proposed, considering the possibility of using distributed electricity generation technologies and the existence of capacitor banks. The proposed model specifies the location, capacity, and timing of the use of distributed generation technologies and capacitor banks as well as the schedule for increasing the capacity of the grid lines. The Genetic Enhanced Algorithm is used to solve the stated problem to optimize the network development plan including the time, location and capacity of DG and capacitor banks in the distribution network as well as to optimize the investment cost and operating cost. It was also implemented in a MATLAB programming environment to validate and evaluate the effectiveness of the proposed solution to the problem of distribution network development planning on a 17-bus radial distribution network.

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“…In the context of a single rigid-body system, 'gyro bias' is the most commonly addressed bias uncertainty and has been studied in detail in several references including [6], [7], [8], [9]. However, the literature on adaptive compensation of position sensor bias even for a single rigid-body is rather limited and the only relevant contribution known to the authors is by [10].…”

Section: Introductionmentioning

confidence: 99%

On Consensus of Double Integrators Over Directed Graphs and with Relative Measurement Bias

Sukumar

Panteley

Lorı́a

et al. 2018

2018 IEEE Conference on Decision and Control (CDC)

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In this paper we investigate sufficient conditions for consensus of double integrators interconnected under constant directed graphs, under the condition that there exists a rooted spanning tree. We assume that only relative position as well as absolute own velocity measurements are available that is, each agent disposes of its own velocity only as well as its position relatively to that of its neighbours. In addition, it is assumed that the relative position measurements are unreliable, in the sense that they are affected by a constant bias. Under these conditions, we provide a consensus algorithm which ensures that the systems stabilize near a common equilibrium point. The analysis is based on Lyapunov direct method and a recent novel approach of analysis of networked systems that takes into account both the synchronization and the collective behavior.

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Accommodating Sensor Bias in MRAC for State Tracking

Cited by 13 publications

References 9 publications

Fault-Tolerant Control Laws against Sensors Failures for Hypersonic Flight

Fault-Tolerant Control Laws against Sensors Failures for Hypersonic Flight

Time-Based Development Plans for Distribution Networks in the Presence of Distributed Generators and Capacitor Banks

On Consensus of Double Integrators Over Directed Graphs and with Relative Measurement Bias

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