General aviation digital autopilot design based on LQR/LQG control strategy

In order to coordinate the damping performance and energy regenerative performance of energy regenerative suspension, this paper proposes a structure of vehicle semi-active energy regenerative suspension with electro-hydraulic actuator (EHA). In light of the proposed concept, a specific energy regenerative scheme is designed and the mechanical properties test is carried out. Based on the test results, the parameter identification for the system model is conducted using recursive least squares algorithm. On the basis of system principle, the nonlinear model of the semi-active energy regenerative suspension with EHA is built. Meanwhile, LQG control strategy of the system is designed. And then the influence of the main parameters of EHA on the damping performance and energy regenerative performance of suspension is analyzed. Finally, the main parameters of EHA actuator are optimized via genetic algorithm. The test results show that when sinusoidal is input at the frequency of 2Hz and the amplitude of 30mm, the spring mass acceleration RMS value of optimized EHA semi-active energy regenerative suspension is reduced by 22.23% and energy regenerative power RMS value is increased by 40.51%, which means while meeting the requirements of certain vehicle ride comfort and driving safety, energy regenerative performance is improved significantly.

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LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter

Sensors ◽

10.3390/s21196496 ◽

2021 ◽

Vol 21 (19) ◽

pp. 6496

Author(s):

Jose Joaquin Sainz ◽

Elías Revestido Herrero ◽

Jose Ramon Llata ◽

Esther Gonzalez-Sarabia ◽

Francisco J. Velasco ◽

...

Keyword(s):

Kalman Filter ◽

Control Systems ◽

Control Strategy ◽

Monte Carlo Study ◽

Linear Quadratic ◽

Marine Structures ◽

Linear Quadratic Gaussian ◽

Sea Bed ◽

Lqg Control ◽

Precision And Accuracy

This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have begun to be implemented. They try to reduce risks, but they still need to be optimized due to the complexity of the dynamics involved during the sinking process and the contact with the sea bed. A linear approximation of the dynamic model of the caisson is obtained and an LQG control strategy is implemented based on the Kalman filter (KF). The results of the proposed LQG control strategy are compared to the ones given by a classic controller. It is noted that the proposed system is positioned with greater precision and accuracy, as shown in the different simulations and in the Monte Carlo study. Furthermore, the control efforts are less than with classical regulators. For all the reasons cited above, it is concluded that there is a clear improvement in performance with the control system proposed.

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A Feasible Control Strategy for LQG Control Problem with Parameter and Structure Uncertainties

2014 Tenth International Conference on Computational Intelligence and Security ◽

10.1109/cis.2014.65 ◽

2014 ◽

Author(s):

Guo Xie ◽

Dan Zhang ◽

Xinhong Hei ◽

Fucai Qian

Keyword(s):

Control Problem ◽

Control Strategy ◽

Lqg Control

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LQG Control Strategy for Enhancing Ride and Safety Performance of Electric Vehicle Driven by In-Wheel Motors

The Open Mechanical Engineering Journal ◽

10.2174/1874155x01509010293 ◽

2015 ◽

Vol 9 (1) ◽

pp. 293-301

Author(s):

LiQiang Jin ◽

Yue Liu ◽

JianHua Li

Keyword(s):

Frequency Domain ◽

Time Domain ◽

Control Strategy ◽

Dynamic Load ◽

Vibration Reduction ◽

Safety Performance ◽

Quarter Car Model ◽

Car Model ◽

Lqg Control ◽

Drive Motor

In this paper, a method for reducing unspring mass as well as improving safety and ride properties of vehicles driven by in-wheel motors will be provided. To begin with, the advantages of vehicles armed with in-wheel motors will be described, after which some drawbacks of this idea will be studied. Then, to getting a better analysis, quarter car model will be studied in frequency domain. Gain of body acceleration and wheel dynamic load, which can be equal to ride property and safety performance respectively, will be compared. Finally, an idea that makes the drive motor suspend will be proposed for enhancing the two properties and then a LQG controller will be provided for further optimization. Through the comparison in time domain and frequency domain, one can come to a conclusion that vehicles driven by suspended motors not only simplified the structures but also can be used as an absorber for vibration reduction.

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A simplification of railway vehicle lateral vibration model based on LQG control strategy

Australian Journal of Mechanical Engineering ◽

10.1080/14484846.2018.1486793 ◽

2018 ◽

Vol 16 (2) ◽

pp. 147-161

Author(s):

WANG Yi-Xuan ◽

CHEN En-Li ◽

LIU Peng-Fei ◽

QI Zhuang ◽

ZHANG Lin

Keyword(s):

Control Strategy ◽

Railway Vehicle ◽

Lateral Vibration ◽

Model Based ◽

Vibration Model ◽

Lqg Control

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Cognitive Factors Mediate the Relation Between Age and Flight Path Maintenance in General Aviation

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000102 ◽

2016 ◽

Vol 6 (2) ◽

pp. 81-90 ◽

Cited By ~ 4

Author(s):

Kathleen Van Benthem ◽

Chris M. Herdman

Keyword(s):

Cognitive Functioning ◽

Flight Path ◽

General Aviation ◽

Cognitive Factors ◽

Pilot Performance ◽

Pilot Error ◽

Age Related ◽

And Performance ◽

Relationship Of ◽

The Relationship

Abstract. Identifying pilot attributes associated with risk is important, especially in general aviation where pilot error is implicated in most accidents. This research examined the relationship of pilot age, expertise, and cognitive functioning to deviations from an ideal circuit trajectory. In all, 54 pilots, of varying age, flew a Cessna 172 simulator. Cognitive measures were obtained using the CogScreen-AE ( Kay, 1995 ). Older age and lower levels of expertise and cognitive functioning were associated with significantly greater flight path deviations. The relationship between age and performance was fully mediated by a cluster of cognitive factors: speed and working memory, visual attention, and cognitive flexibility. These findings add to the literature showing that age-related changes in cognition may impact pilot performance.

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