This paper is concerned with the state estimation problem for nonlinear systems with unknown covariance of process noise. The advantages of recently developed High-degree Cubature Kalman Filter (HCKF) are significant ...
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This paper is concerned with the state estimation problem for nonlinear systems with unknown covariance of process noise. The advantages of recently developed High-degree Cubature Kalman Filter (HCKF) are significant with its easy to implement and better estimation accuracy. However, it has bad robustness on modeling uncertainty for practical applications. To overcome the limitations of the HCKF, an Adaptive HCKF (AHCKF) is proposed by combing strong tracking filtering and Sage-Husa estimator. In the proposed state estimator, a fading factor is used to correct one state prediction covariance while the Sage-Husa estimator is adopted to recursively estimate the unknown process noise statistics. Therefore, the AHCKF can obtain better robustness and accuracy comparing with the conventional HCKF. Simulation examples on target tracking are demonstrated the validity of the proposed algorithms.
Brushless direct current (BLDC) motor is widely used in small and medium side electric vehicles as it exhibit highest specific power and thermal efficiency compared with induction motor. The permanent magnets in the r...
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Brushless direct current (BLDC) motor is widely used in small and medium side electric vehicles as it exhibit highest specific power and thermal efficiency compared with induction motor. The permanent magnets in the rotor create a constant magnetic flux, which limit the motor top speed. As the back electromotive force (EMF) voltage increases proportionally with motor rotational speed and it approaches the amplitude of the input voltage, the phase current amplitude will reach zero. By advancing the phase current, it is possible to extend the maximum speed of the BLDC motor beyond the rated top speed. This will allow smaller BLDC motor to be used in small electric vehicles and in larger applications will allow the use of BLDC motor without the use of multispeed transmission unit for high speed operation. Adjusting the phase angle will affect the speed of the motor as the each coil is energized earlier than the corresponding rise in back emf of the coil. Preliminary test results indicated that the motor top speed can be increased at least by 40 percent over the baseline speed at no load condition.
One approach based on AC20-128A is presented in order to assess the risk caused by uncontained engine rotor failure (UERF). In this approach, the risk assessment procedure includes hazard identification and hazard qua...
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In this paper, a vertical channel damping loop design using vertical position and velocity information is newly proposed. The inertial navigation system (INS) for the position, orientation, and velocity is mostly used...
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ISBN:
(纸本)9781479999767
In this paper, a vertical channel damping loop design using vertical position and velocity information is newly proposed. The inertial navigation system (INS) for the position, orientation, and velocity is mostly used for various platforms. The main disadvantage of the INS is that the navigation information degrade with time. Especially, the vertical channel error diverges exponentially if external sensors do not compensate it. The proposed method uses vertical position and velocity information acquired by additional sensors. The Kalman filter is constructed to calculate vertical channel damping loop gains. The proposed method is simulated by using INS and additional sensors error statistics. Results demonstrate the usefulness and practicality of the proposed method.
In this paper, we consider multiple primary and multiple secondary users cooperative cognitive radio networks, in which the primary users (PUs) lease a portion of their spectrum to the secondary users (SUs) for some r...
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In this paper, new Lyapunov-based reset rules are constructed to improve ℒ 2 gain performance of linear-time-invariant (LTI) systems. By using the hybrid system framework, sufficient conditions for exponential and fin...
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In this paper, new Lyapunov-based reset rules are constructed to improve ℒ 2 gain performance of linear-time-invariant (LTI) systems. By using the hybrid system framework, sufficient conditions for exponential and finite gain ℒ 2 stability are presented. It is shown that the ℒ 2 gain of the closed loop system with resets can be improved compared with the base system. Numerical example supports our results.
As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. Ho...
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In this paper, a semi-physical simulation platform of robot teleoperation system is designed, and a combined control approach using Jacobian matrix and Proportional-Derivative(PD) algorithm is proposed. A digital low-...
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In this paper, a semi-physical simulation platform of robot teleoperation system is designed, and a combined control approach using Jacobian matrix and Proportional-Derivative(PD) algorithm is proposed. A digital low-pass filter is designed to eliminate noise signal caused by hand-vibration of surgeons. The advantages of the proposed approach include easy implementation, real-time response and accurate master-slave tracking. The results of semi-physical simulation validated that the proposed approach realized accurate master-slave tracking for puncture surgery and the noise caused by hand-vibration was eliminated effectively.
Development of virtual/remote laboratories is a common task involved in the design of course's assessments (in engineering disciplines). The deployment of these laboratories must manage several aspects related to ...
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ISBN:
(纸本)9781479931927
Development of virtual/remote laboratories is a common task involved in the design of course's assessments (in engineering disciplines). The deployment of these laboratories must manage several aspects related to the real use of them, as user's authorization and access, tracking of usage information, loading/saving data from experiments and so on. These features must be implemented by developers in a particular way for each laboratory. This paper shows how these services can be used automatically, with no development, using the RELATED management services. The deployment task consists of making a connector to the RELATED framework in order to consume these services. A full example is shown, describing the steps followed to integrate a previously developed low cost laboratory (based on a Lego system).
Recently the control methods based on disturbance rejection have largely renewed our understanding of automatic control, especially the role of feedforward control. With the renewed understanding, this work presents a...
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Recently the control methods based on disturbance rejection have largely renewed our understanding of automatic control, especially the role of feedforward control. With the renewed understanding, this work presents a feedforward and feedback approach for control of general dynamic systems under a state tracking framework. This is realized by introducing a fictitious system model and employing a proper state and disturbance estimator. The resultant control scheme embodies a close cooperation between feedforward and feedback controls: Feedforward control rejects the general disturbance and embeds a reference state trajectory, whilst feedback control cancels the fictitious dynamics and enforces desired tracking error dynamics. A notable advantage of the approach is that control designs of linear and nonlinear systems can follow a common routine and the closed-loop stability is guaranteed under standard conditions.
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