Papers by Keyword: Predictive Control

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Authors: Yi Wan, Qi Bo Cai, Huan Wang
Abstract: Optimized machine learning algorithm is applied to control modeling of high-speed electric-hydraulic proportional system of high nonlinear in this paper, a identification model of high-speed electric-hydraulic proportional system is built based on support vector machines, fusion intelligent method of dynamic self-adaptive internal model control and predictive control is realized for high-speed electric-hydraulic proportional control system. Internal model and inverse controller model are online adjusted together. Simulation shows the satisfactory tracking effect by intelligent technology of dynamic self-adaptive internal control and predictive control based on the support vector machine, the dynamic characteristic is greatly improved by the intelligent control strategy for high-speed electric-hydraulic proportional control system, good tracking and control effect is reached in condition of high frequency response. It provides a new intelligent control method for high-speed electric-hydraulic proportional system.
Authors: Lian Jun Hu, Xiao Hui Zeng, Hong Song, Xiao Long Huang, Ming Liu
Abstract: Despite of its remarkable active performances, brushless DC motors, which are widely used in mechanical engineering, have an obvious disadvantage in its high electromagnetic torque ripples. In the paper, a ripple suppression method based on predictive controls of stator currents is proposed according to analysis of causes electromagnetic torque ripples generate in commutation periods of brushless DC motors. First of all, a relative accurate prediction is acquired through DC motor on-line parameter corrections based on generalized predictive control algorithms. Then rolling optimizations make tracking errors and control qualities optimized for best control effects. And finally, minimum electromagnetic torque ripples are achieved. The simulation results show that torque ripples can be suppressed effectively with improved reliabilities by using the method proposed.
Authors: Ju Wei Li, Xiao Lin Cui
Abstract: A direct yaw moment control (DYC) method based on optimal predictive method is proposed to achieve an external yaw moment which is as low as possible. This control method calculates the necessary moment according the vehicle condition, and then optimizes the distribution of drive/brake torque to achieve the necessary yaw moment considering the constraints of actuators. The effectiveness of the designed controller is investigated by simulations. The simulation results indicate that a satisfactory handling performance can be achieved when the proposed controller is applied.
Authors: Jin Zhi Liu, Jun Lin, Li Ming Ma, Shen Shan Li
Abstract: Conventional control of tunnel boring machine can't achieve the ideal effect because of the complexity of its work process, uncertainty of construction environment. In order to solve the question, the intelligent control is expected. The neural network control has many characteristics such as self-adaption, self-organization, and can modify the corresponding parameters by learning about external knowledge, so it becomes research focus of tunnel boring machine control system in recent years. In this paper the advantage and disadvantage of several kinds of neural network used in the tunnel boring machine control are introduced, the development trends of tunnel boring machine control is predicted.
Authors: Zhen Tan, Zhi Yi Huang, Ke Wu, Lei Ting Xu
Abstract: Speed control of longitudinal ventilation systems in road tunnels is being combined with typical model predictive control (MPC) strategies which may bring huge energy saving potential to the system. Theoretical analysis of the inertia effect is presented based on the energy equation of one dimensional incompressible unsteady flow, step response model is chosen to describe the dynamic behaviors of the system. The results show that the effect of jet speed change on CO concentration is nonlinear within fan’s economical working range and the settling time of CO level has similar change trend with that of the flow field but is a little longer. The system settling time is longer when jet speed decreases than it increases and is related to the change extent of jet speed. The effect of traffic intensity on CO concentration can be regarded as linear disturbance to the system output. These results may provide useful indexes to control the tunnel ventilation system more economically and lay foundation for the application of predictive control strategy in the system.
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