A new Benes network control algorithm is presented. Unlike the original looping algorithm, the new algorithm is not recursive. In this algorithm (N x N) Benes network is viewed as a concatenation of two subnetworks SN...
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A new Benes network control algorithm is presented. Unlike the original looping algorithm, the new algorithm is not recursive. In this algorithm (N x N) Benes network is viewed as a concatenation of two subnetworks SN1 and SN2. The first (log N - 1) stages of a Benes network correspond to SN1, and the remaining log N stages correspond to SN2. SN1 is controlled by a full binary tree of set partitioning functions, called a Complete Residue Partition Tree, and SN2 is bit controlled. The new control algorithm sets switches one stage at a time, stage by stage.
The paper falls within the framework of dynamic control of existing structures exhibiting non-linear behaviour. On the basis of some previous research developed by the authors, it specifically focuses on the analytica...
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The paper falls within the framework of dynamic control of existing structures exhibiting non-linear behaviour. On the basis of some previous research developed by the authors, it specifically focuses on the analytical setup and development of a control algorithm for mitigating in an improved way the response of non-linear spatial structures, made of masonry. The presented setup does not involve the gross simplifications of the structural model behaviour that are usually adopted in these cases;on the contrary it proposes a more appropriate full mathematical formulation, which is, nevertheless, made still manageable for numerical purposes and significantly more reliable than alternative approaches.
In this paper, a novel optical packet switch is proposed, which uses a set of shared fiber delay lines (FDLs) and a set of shared tunable wavelength converters (TWCs) to resolve optical packet contentions. In addition...
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In this paper, a novel optical packet switch is proposed, which uses a set of shared fiber delay lines (FDLs) and a set of shared tunable wavelength converters (TWCs) to resolve optical packet contentions. In addition, two control algorithms, i.e., Fiber-First (FF) and Wavelength-First (WF), are proposed to schedule optical packets. Performance of the novel switch is evaluated by means of simulation experiments. Simulation results show that based on either of these two control algorithms, the switch can achieve super performance without employing a lot of FDLs and TWCs. Moreover, the performance of FF and WF is compared. Detail analyses are also given in this paper.
English translation systems often require manual input to convert speech into text document mode, which leads to poor translation results. In order to improve the intelligence of the intelligent English translation sy...
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English translation systems often require manual input to convert speech into text document mode, which leads to poor translation results. In order to improve the intelligence of the intelligent English translation system, based on the machine learning algorithm, this paper constructs an intelligent English translation system based on the model predictive control algorithm and combines the self-triggering MPC with the robust control to propose a corresponding control solution. That is, a robust self-triggering MPC method is proposed for linear systems with constraints. Moreover, this paper studies the stability and robustness of MPC in continuous time systems and describes the interfaces to be used in the system and the performance requirements of the system. In addition, this paper analyzes and describes the feasibility of the system development plan. Finally, this paper designs experiments to analyze the model performance from the system translation accuracy rate, system login security and system stability. The research results show that the model constructed in this paper has certain practical effects.
This study developed a control algorithm of torque vectoring system to improve the handling performance of a green-car and evaluate the performance of vehicle dynamics to improve the controllability and stability. Fir...
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This study developed a control algorithm of torque vectoring system to improve the handling performance of a green-car and evaluate the performance of vehicle dynamics to improve the controllability and stability. Firstly, this study configured the control algorithm with the supervisory controller that decides the control mode by checking the current driving status of a vehicle, target yawrate calculator that reflects the steady-state and transient-state response characteristics according to the control mode, as well as the reference yawrate calculation, desired yaw moment calculation and transferred torque calculation. The control mode consists of the agile mode that controls the torque vectoring to improve the controllability and the safe mode that controls the torque vectoring to improve stability. Secondly, this study performed the modeling of the dual motor type torque vectoring system and an EV AWD vehicle. Lastly, this study defined the driving test scenario and evaluation method as well as the quantitative performance index for each vehicle test and established the co-simulation environment for the handling test evaluation. This study found that when a vehicle is controlled by applying the torque vectoring system, handling performance was improved according to controllability and safe mode by verifying the simulation.
An integrated design approach, namely, design for control (DFC), is further studied in this paper. Previous work on the DFC approach usually takes the proportional-derivative (PD) control algorithm. It is revealed in ...
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An integrated design approach, namely, design for control (DFC), is further studied in this paper. Previous work on the DFC approach usually takes the proportional-derivative (PD) control algorithm. It is revealed in a closed-chain five-bar machine case that the PD-based DFC approach can only obtain a desired performance in set-point control task rather than tracking control task. In order to improve the robustness of this mechatronic system in terms of change of tasks, this paper suggests to use a "PD plus robust term" control algorithm in the DFC approach. Theoretical analysis shows that a satisfactory performance can be achieved by the proposed DFC. And it is also shown that the gain in the robust term plays an important role in bridging design of control algorithm and design of machine body. The general design principle of machine body is to design parameters of machine body to minimize the lower bound of this robust gain. Finally, the effectiveness of the proposed approach is validated by simulations.
The physical fitness of patients with terminal heart failure and an implanted left ventricular assist device (LVAD) might be improved by load-adaptive control of the LVAD. In this study, three control strategies for L...
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The physical fitness of patients with terminal heart failure and an implanted left ventricular assist device (LVAD) might be improved by load-adaptive control of the LVAD. In this study, three control strategies for LVAD were compared in eight pigs: (1) a constant stroke work (CSW) control strategy that ensures a constant ventricular load using ventricular stroke work as the control variable;(2) a work ratio (WR) controller that maintains a constant ratio of ventricular work to hydraulic pump work;and (3) a controller that maintains the pump pace at a constant speed (CS). Biventricular heart insufficiency was induced by increased isoflurane application, and preload, afterload, and contractility alterations were performed. LVAD speed changes were significantly more pronounced in all load interventions with the CSW control strategy (preload: P < 0.001 vs. CS and P = 0.004 vs. WR;afterload: P < 0.001 vs. CS and P < 0.001 vs. WR;contractility: P < 0.001 vs. CS and P < 0.001 vs. WR). However, a significant difference in systemic flow only became evident in the experiments upon afterload increase (P < 0.001 vs. CS and P = 0.004 vs. WR). An implementation of an evolved version of the CSW control strategy that dispenses with invasively measured parameters might be feasible for clinical use.
This paper presents a novel active roll control algorithm for vehicle hydraulic active stabilizer bar system. The mechanical structure and control scheme of hydraulic active stabilizer bar system is detailed. The anti...
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This paper presents a novel active roll control algorithm for vehicle hydraulic active stabilizer bar system. The mechanical structure and control scheme of hydraulic active stabilizer bar system is detailed. The anti-roll torque controller is designed with Proportional-Integral-Differential (PID)+feedforward algorithm to calculate the total anti-roll torque. A lateral acceleration gain and roll rate damping are added into PID+feedforward controller, which can improve vehicle roll dynamic response. The torque distributor is introduced based on fuzzy-PID algorithm to distribute the anti-roll torque of front and rear stabilizer bar dynamically, which can improve vehicle yaw dynamics response. The actuator controller is used for realizing the closed-loop control of the actuators displacement and generating the accurate anti-roll torque. The hardware-in-the-loop simulation platform is established based on AutoBox and active stabilizer bar actuators. The hardware-in-the-loop experiment is carried out under typical maneuvers. Experimental results show that the proposed control algorithm improves the vehicle roll and yaw dynamics response, which can enhance the vehicle roll stability, yaw stability, and ride comfort.
In the power split hybrid electric vehicle(HEV), since the two motors are used to assist the engine or to charge the battery, it is essential how to control the two motors while minimizing the fuel consumption and sat...
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In the power split hybrid electric vehicle(HEV), since the two motors are used to assist the engine or to charge the battery, it is essential how to control the two motors while minimizing the fuel consumption and satisfying the driver's demand. In this paper, a motor torque control algorithm of a power split HEV is investigated for optimal engine operation. The control algorithm is designed in such a way that it could control the torques of two motors, MG1 and MG2 to enable the engine to operate on the optimal operation line according to the engine power and battery power that can be determined from the driver's acceleration intention. To verify the performance of the proposed control algorithm, a dual mode power split REV is designed using two planetary gears. It is verified that the engine could be in operation at around the optimal operation line while satisfying the desired battery power limitation, using the MG1 and MG2 torque control algorithm proposed in this study.
An underwater manipulator is one of the most commonly used tools in off-shore operations. In the face of the unknown environment of the deep sea and the uncertainty of the operation target, the underwater manipulator ...
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An underwater manipulator is one of the most commonly used tools in off-shore operations. In the face of the unknown environment of the deep sea and the uncertainty of the operation target, the underwater manipulator needs good con-trol stability and higher control efficiency to prevent accidents, which puts forward higher requirements for the control of the manipulator. Underwater manipulators often need to work under heavy loads and to perform tasks efficiently under light loads, which is crucial for efficient control under load. In this paper, a control algorithm based on proportion and derivative feedback control for an all sea depth load proportional hydraulic manipulator is proposed. The feasibility and progressiveness of this algorithm are verified by building kinematic and dynamic models, building physical platforms for tests, and building sea trial acceptance.
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