In order to get a better dynamic response for actuator in condition of low-speed, a permanent magnet synchronous motor (PMSM) in direct-drive application with the characteristics of high-bandwidth, low-speed and high-...
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Nanomanipulation under scanning electron microscopy(SEM)enables direct interactions of a tool with a *** recently developed a nanomanipulation technique for the extraction and identification of DNA contained within su...
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Nanomanipulation under scanning electron microscopy(SEM)enables direct interactions of a tool with a *** recently developed a nanomanipulation technique for the extraction and identification of DNA contained within sub-nuclear locations of a single cell *** nanomanipulation of sub-cellular structures,a key step is to identify targets of interest through correlating fluorescence and SEM *** DNA extraction task must be conducted with low accelerating voltages resulting in low imaging *** is imposed by the necessity of preserving the biochemical integrity of the *** poor imaging conditions make the identification of nanometer-sized fiducial marks *** paper presents an affine scale-invariant feature transform(ASIFT)based method for correlating SEM images and fluorescence microscopy *** performance of the image correlation approach under different noise levels and imaging magnifications was quantitatively *** optimal mean absolute error(MAE)of correlation results is 68634 nm under standard *** with manual correlation by skilled operators,the automated correlation approach demonstrates a speed that is higher by an order of *** the SEM-fluorescence image correlation approach,targeted DNA was successfully extracted via nanomanipulation under SEM conditions.
In this paper, the problem of parameter estimation is investigated for a class of discrete-time linear systems with missing outputs and outliers. It is assumed that the unknown parameters are constant and the evolutio...
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In this paper, the problem of parameter estimation is investigated for a class of discrete-time linear systems with missing outputs and outliers. It is assumed that the unknown parameters are constant and the evolution of the systems is subject to some unknown but bounded noises. To solve such a problem, a recursive algorithm based on set membership identification is proposed and employed. Besides, the data validation is processed and outliers are set aside. The effectiveness of the algorithm is verified by performing some numerical simulations.
This paper presents a novel five-phase double-stator permanent-magnet synchronous motor (DSPMSM). The motor is compacted with DSPMSM and fault-tolerant motor, so that the motor not only inherits the merits of double-s...
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This paper presents a novel five-phase double-stator permanent-magnet synchronous motor (DSPMSM). The motor is compacted with DSPMSM and fault-tolerant motor, so that the motor not only inherits the merits of double-stator which with high torque density and high utilization rate of the space, but also achieves fault tolerance. A new structure of the rotor is proposed for the DSPMSM. The DSPMSM proposed in the paper poses with high air-gap flux density, torque density and fault-tolerant capacity. control strategies and electromagnetic torque characteristics of the DSPMSM with completely loss of one and two phases are described. The fault-tolerant performance of the DSPMSM is analyzed by finite element method.
Wireless networked controlsystems have gained significant popularity due to commissioning and maintenance *** there are various wireless communication protocols available to accomplish the control networks. Recently,...
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Wireless networked controlsystems have gained significant popularity due to commissioning and maintenance *** there are various wireless communication protocols available to accomplish the control networks. Recently, IEEE802.15.4e protocol for low latency deterministic network has been introduced that shows prominent theoretical characteristics under effective frequency planning to minimize mutual interference. Factory automation, highly exacting from low latency point of view, requires sensors refresh rate not more than of order 10 milliseconds. This new protocol meets such stringent requirement of industrial automation systems. In this paper, we compare the new protocol with its previous version and observe its suitability for industrial networked controlsystems as a communication protocol. We introduce different LLDN(low latency deterministic network) superframe configurations that show trade-offs among various network parameters. It gives an insight of relationship among various network parameters like sensors refresh rate, number of devices accommodated in network and data payload exchanged between coordinator and end devices with emphasis on different levels of security incorporated.
This paper presents a novel adaptive IIR filter modeling for the hysteresis characteristic in PEA (piezoelectric actuator). First, the PEA hysteresis operators are introduced and the modeling methods of traditional ad...
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This paper presents a novel adaptive IIR filter modeling for the hysteresis characteristic in PEA (piezoelectric actuator). First, the PEA hysteresis operators are introduced and the modeling methods of traditional adaptive IIR (infinite-impulse response) filter are discussed. Then, delay operators of IIR adaptive filter are replaced with Backlash operators to compose a new adaptive IIR filter model. During the modeling process, LMS (Least Mean Square) algorithm is used to adjust the weight values. At last the modeling effectiveness is verified via a micro-positioning system experiment platform based on PEA. Experimental results show that the proposed Backlash operator based IIR adaptive filter can achieve accurate hysteresis modeling.
This paper studies the stability of state estimation for a discrete-time linear stochastic system, the states of which are measured by multiple sensors and transmitted over multiple wireless channels. Random packet lo...
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ISBN:
(纸本)9781479947249
This paper studies the stability of state estimation for a discrete-time linear stochastic system, the states of which are measured by multiple sensors and transmitted over multiple wireless channels. Random packet loss process introduced by each wireless channel is modeled by an independent and identically distributed(i.i.d.) Bernoulli process. The estimation strategy designed in this paper is based on Covariance Intersection fusion of local state estimates of the observable subsystem of each sensor. The sufficient conditions, imposing constraint on the packet success probability of each channel, are established by taking into account each observable subsystem structure to guarantee the expectation of the trace of estimation error covariance matrices is exponentially bounded, and the upper bound is given. Simulation examples are provided to demonstrate the effectiveness of the results.
Formation control from optimal control strategy is derived based on the position estimation for second-order molded agents using only the relative *** the proposed strategy,agents can realize the convergence to the de...
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ISBN:
(纸本)9781479947249
Formation control from optimal control strategy is derived based on the position estimation for second-order molded agents using only the relative *** the proposed strategy,agents can realize the convergence to the desired formation configure if and only if the interaction graph for the agents has a spanning *** control input is added into the derived control strategy,with the help of detecting obstacles using the relative position and taking avoidance measures using the estimated position,it can also realize obstacle avoidance for agents between themselves.
In this paper, we propose a distributed adaptive approach for tracking problem without using leader's velocity information, where agents are modeled by Euler-Lagrange equations. It is assumed that only a small fra...
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In this paper, we propose a distributed adaptive approach for tracking problem without using leader's velocity information, where agents are modeled by Euler-Lagrange equations. It is assumed that only a small fraction of agents within the leader's communication range are informed about the position of the leader. Without using the leader's velocity information, a connectivity-preserving adaptive controller is proposed to achieve tracking control on Lagrangian systems with the leader of constant velocity. Moreover, position and velocity consensus can be achieved asymptotically with the proposed control strategy. Numerical simulations are further provided to illustrate the theoretical results.
This paper investigates the distributed tracking control problem for multiple Lagrangian systems under a general directed graph where only a portion of the agents have access to the desired time-varying trajectory. To...
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This paper investigates the distributed tracking control problem for multiple Lagrangian systems under a general directed graph where only a portion of the agents have access to the desired time-varying trajectory. To overcome the problem that only positions are measured, a observer is designed to estimate the velocity for each follower. By employing the estimated states, the distributed observer-based controller is proposed using only position measurements. Furthermore, the condition for the distributed tracking problem on the directed graph is derived, such that the tracking errors and observer errors semi-globally converge to zero. Finally, simulation examples are provided to show the effectiveness of the proposed control algorithms.
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