Due to the relative movement between the crosshead and the guide of reciprocating compressor, there must be friction, wear and movement clearance between them. When the clearance reaches a certain value, the performan...
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Considering trajectory optimization and local extremum problems, a 2D batch process optimization method with initial state optimization is proposed in this paper. It integrates the information of time axis and batch a...
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Considering trajectory optimization and local extremum problems, a 2D batch process optimization method with initial state optimization is proposed in this paper. It integrates the information of time axis and batch axis unique to batch process. Particle swarm optimization (PSO), which is used to optimize the initial value so that it has good tracking performance and the ability to avoid falling into local optimum. At the same time, model identification and dynamic R parameter compensation are used to compensate the mismatch between the model and the controlled object, so that it has zero error tracking ability. By solving MPC optimization problem with time-varying predictive horizon, the control law is obtained, which has good tracking performance and robustness against disturbance and uncertainty. In addition, model identification and dynamic R parameters are used to compensate model mismatch, which makes zero error tracking possible. Secondly, the convergence analysis and tracking performance of the proposed integrated model predictive learning control system are strictly proved. Finally, the effectiveness of this method is verified by simulation.
This paper proposes a new Active Disturbance Rejection (ADR) based robust trajectory tracking controller design method in state space. It can compensate not only matched but also mismatched disturbances. Robust state ...
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A novel quantum memory scheme is proposed for quantum data buses in scalable quantum computers by using adjustable interaction. Our investigation focuses on a hybrid quantum system including coupled flux qubits and a ...
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A novel quantum memory scheme is proposed for quantum data buses in scalable quantum computers by using adjustable interaction. Our investigation focuses on a hybrid quantum system including coupled flux qubits and a nitrogen–vacancy center ensemble. In our scheme, the transmission and storage(retrieval) of quantum state are performed in two separated steps, which can be controlled by adjusting the coupling strength between the computing unit and the quantum memory. The scheme can be used not only to reduce the time of quantum state transmission, but also to increase the robustness of the system with respect to detuning caused by magnetic noises. In comparison with the previous memory scheme, about 80% of the transmission time is saved. Moreover, it is exemplified that in our scheme the fidelity could achieve 0.99 even when there exists detuning, while the one in the previous scheme is 0.75.
In a lot of micro display applications, we need to enlarge and recognize a region of interest (ROI), which often get a low-resolution image because of limited resolution source image. This paper proposed a novel image...
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Mechanical Quality factor(Q factor) of the resonator is an important parameter for the cylinder vibratory gyroscope(CVG). Traditional analytical methods mainly focus on a partial energy loss during the vibration p...
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Mechanical Quality factor(Q factor) of the resonator is an important parameter for the cylinder vibratory gyroscope(CVG). Traditional analytical methods mainly focus on a partial energy loss during the vibration process of the CVG resonator, thus are not accurate for the mechanical Q factor prediction. Therefore an integrated model including air damping loss, surface defect loss, support loss, thermoelastic damping loss and internal friction loss is proposed to obtain the mechanical Q factor of the CVG resonator. Based on structural dynamics and energy dissipation analysis, the contribution of each energy loss to the total mechanical Q factor is quantificationally analyzed. For the resonator with radius ranging from 10 mm to 20 mm, its mechanical Q factor is mainly related to the support loss, thermoelastic damping loss and internal friction loss, which are fundamentally determined by the geometric sizes and material properties of the resonator. In addition, resonators made of alloy 3J53 (Ni42CrTiA1), with different sizes, were experimentally fabricated to test the mechanical Q factor. The theoretical model is well verified by the experimental data, thus provides an effective theoretical method to design and predict the mechanical Q factor of the CVG resonator.
This paper presents a control system designed and achieved for a transformable multimodal robot based on CANopen network. The control system architecture was designed according to the robot motion modal requirements a...
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The energy stability of 266nm laser is a key factor for an electron accelerator. We report on the shot to shot energy stability of second and third harmonic generation (THG) by using sub-100-fs idler laser pulses. A m...
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Fractal geometry is widely used to characterize machined surfaces and fractal dimension is the most important parameter. This work studies the wavelet-based method and its accuracy to extract fractal dimensions. Surfa...
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Fractal geometry is widely used to characterize machined surfaces and fractal dimension is the most important parameter. This work studies the wavelet-based method and its accuracy to extract fractal dimensions. Surface profiles are generated by Weierstrass-Mandelbrot (WM) function and prescribed wavelet coefficients (PWC) method. The orthonormal basis, vanishing moment and level of discrete wavelet transform are analyzed to calculate the proper fractal dimension. The standard reference surfaces are measured to verify the wavelet-based method.
The clearance faults on joint of moving mechanism are most common in a reciprocating compressor. In order to investigate the relationship between the clearance faults and the dynamic behavior of the moving mechanism, ...
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