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Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

2020

Model predictive control

Articles 1 - 7 of 7

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Research On Model Predictive Control With Dual Feedback Based On State Extension, Zho Xilin, Lijuan Yin Aug 2020

Research On Model Predictive Control With Dual Feedback Based On State Extension, Zho Xilin, Lijuan Yin

Journal of System Simulation

Abstract: Depending on the online implementation demand of Model Predictive Control (MPC) for the receding horizon control characteristic, a control strategy of dual feedback structure based on state extension was proposed. The control strategy was aimed to improve the online computational capability about the control system to achieve the control target without any change of the system information. Based on the analysis of the characteristic of MPC, the extension and conversion method of state variable was proposed according to the relationship between state variable, control variable, output variable and system model. And the structure of the control system after state …


Research On Autonomous Intercept Method For Ucav Based On Lead Attack Aiming, Huaxing Wu, Huang Wei, Fengju Kang, Hongbao Mao Aug 2020

Research On Autonomous Intercept Method For Ucav Based On Lead Attack Aiming, Huaxing Wu, Huang Wei, Fengju Kang, Hongbao Mao

Journal of System Simulation

Abstract: For the problem of autonomous intercepting moving target with air-to-air missiles for an unmanned combat air vehicle, autonomous guiding method based on lead attack aiming errors was studied. The aiming errors were computed by building the motion model of UCAV and the model of lead attack aiming. Then to meet the goal of decreasing the aiming errors during flight control, two maneuver strategies based on model predictive control approach were presented: one used proportional navigation method and the other employed simulated annealing particle swarm optimization algorithm. The simulation result shows that both strategies can implement autonomous intercept for targets …


Application Of Model Prediction Control In Ship Dynamic Positioning Simulator, Xiaobin Qian, Yin Yong, Xiufeng Zhang, Xiaofeng Sun Aug 2020

Application Of Model Prediction Control In Ship Dynamic Positioning Simulator, Xiaobin Qian, Yin Yong, Xiufeng Zhang, Xiaofeng Sun

Journal of System Simulation

Abstract: According to the requirement of ship Dynamic Positioning simulator control simulation system, a model predictive control scheme was proposed for DP simulator with the proportional integrator. Ship Dynamic Positioning simulator was mainly used for training and competency assessment of DP operator. At present, DP Simulator mainly depends on imports and there is no domestic DP simulator with independent intellectual property rights. Dynamic Positioning controller is one of the key technologies, which determines the performance of DP simulator. Considering the unknown slowly-varying marine environment disturbance and vessel constraints, a dynamic positioning controller was designed based on the model predictive control …


Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control, Zhiling Ren, Jiahao Han Jul 2020

Energy Saving Control Research On Mine Drainage System Based On Model Predictive Control, Zhiling Ren, Jiahao Han

Journal of System Simulation

Abstract: Grey model of water inflow in tunnel and time with measuring data and economic model was established after analysis for energy conservation issue of mine drainage system. Using model predictive control, a coal mines pumping water pump scheduling in non-peak periods was establish, executing the simulation of the gray model based on model predictive control and predicting the water inflow at times of peak demand in morning and evening. A load shifting schedule for system was formulated. The result show that the pump scheduling established in non-peak periods based on model predictive control can reduce the cost of electricity …


Study Of Model Predictive Control Of Pwm Voltage Source Converterwithout Ac Electromotive Force Sensor, Li Hui, Li Zhi, Zhang Jin, Hanmei Peng Jun 2020

Study Of Model Predictive Control Of Pwm Voltage Source Converterwithout Ac Electromotive Force Sensor, Li Hui, Li Zhi, Zhang Jin, Hanmei Peng

Journal of System Simulation

Abstract: The traditional model-predictive-control (MPC), applied to three-phase converter, requires to use AC electromotive force sensor, and then it reduces the system reliability. A three-phase converter model predictive control without AC electromotive force sensor was proposed, and the virtual flux observer was constructed by DC bus voltage, switching signal and AC current. On this basis, a mathematical model of three-phase converter model predictive control quadratic programming (QP-MPC) based on virtual flux oriented was established. Using quadratic programming algorithm, the system can quickly calculate the optimal change, minimize the objective function, and obtain the optimal switch control signal, so as to …


Trajectory Planning Of Wheeled Mobile Robot Based On Model Predictive Control, You Bo, Mingrui Wang, Li Zhi, Ding Liang Apr 2020

Trajectory Planning Of Wheeled Mobile Robot Based On Model Predictive Control, You Bo, Mingrui Wang, Li Zhi, Ding Liang

Journal of System Simulation

Abstract: Aiming at the underactuation of the Wheeled Mobile Robot (WMR) and considering the various limitations and constraints during the actual operation, a trajectory planning method based on the Model Predictive Control (MPC) is proposed.This method can deal with the kinematics constraints, physical constraints and obstacle avoidance constraints unifiedly and effectively. It can generate the feasible trajectories that conform to the characteristics of the car body model and satisfy the various constraints. It fully guarantees the feasibility, safety and efficiency of the autonomous driving of wheeled mobile robots. The simulation results fully verify the effectiveness of the proposed method.


Research On Building Mechanism Model Simulation In Energy-Saving Control, Bai Yang, Decheng Yuan, Li Ling Mar 2020

Research On Building Mechanism Model Simulation In Energy-Saving Control, Bai Yang, Decheng Yuan, Li Ling

Journal of System Simulation

Abstract: In the existing building system, the energy consumption is huge, the control system is complex, and the electricity cost is high. In order to reduce the cost of electricity, the mechanism model of the building is established for simulation. The accuracy of the model is verified by simulation to confirm the model applicability to the building system. Comparing the constant electricity price with the time-varying electricity price, the system under the model predictive control can response to the price change of electricity with time and can achieve the cost control and energy-saving.