scholarly journals Research on suspension control strategy based on finite control set model predictive control with state feedback control‐PID for maglev yaw system of wind turbine

2021 ◽  
Vol 15 (2) ◽  
pp. 255-270
Author(s):  
Nannan Wang ◽  
Bin Cai ◽  
Xiaoguang Chu ◽  
Baili Su
Keyword(s):  
Feedback Control ◽  
Model Predictive Control ◽  
Wind Turbine ◽  
Predictive Control ◽  
Control Strategy ◽  
State Feedback ◽  
State Feedback Control ◽  
Suspension Control ◽  
Finite Control ◽  
Control Set

scholarly journals Research on Finite Control Set Model Predictive Control Strategy of Three-level APF

2021 ◽  
Vol 1748 ◽  
pp. 032001
Author(s):  
Hang Shi ◽  
Xue Jiao Gong ◽  
Gong Sang Pu Chi ◽  
Juan Juan Zhang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Finite Control ◽  
Control Set

scholarly journals Comparative Study of Trajectory Tracking Control for Automated Vehicles via Model Predictive Control and Robust H-infinity State Feedback Control

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Kai Yang ◽  
Xiaolin Tang ◽  
Yechen Qin ◽  
Yanjun Huang ◽  
Hong Wang ◽  
...  
Keyword(s):  
Feedback Control ◽  
Model Predictive Control ◽  
Comparative Study ◽  
Predictive Control ◽  
Trajectory Tracking ◽  
State Feedback ◽  
Maximum Velocity ◽  
State Feedback Control ◽  
Advantages And Disadvantages ◽  
Lane Change Test

AbstractA comparative study of model predictive control (MPC) schemes and robust $$H_{\infty }$$ H ∞ state feedback control (RSC) method for trajectory tracking is proposed in this paper. The main objective of this paper is to compare MPC and RSC controllers’ performance in tracking predefined trajectory under different scenarios. MPC controller is designed based on the simple longitudinal-yaw-lateral motions of a single-track vehicle with a linear tire, which is an approximation of the more realistic model of a vehicle with double-track motion with a non-linear tire mode. RSC is designed on the basis of the same method as adopted for the MPC controller to achieve a fair comparison. Then, three test cases are built in CarSim-Simulink joint platform. Specifically, the verification test is used to test the tracking accuracy of MPC and RSC controller under well road conditions. Besides, the double lane change test with low road adhesion is designed to find the maximum velocity that both controllers can carry out while guaranteeing stability. Furthermore, an extreme curve test is built where the road adhesion changes suddenly, in order to test the performance of both controllers under extreme conditions. Finally, the advantages and disadvantages of MPC and RSC under different scenarios are also discussed.

scholarly journals A novel predictive control strategy for neutral-point clamped converter with harmonic spectrum shaping

2021 ◽  
Author(s):  
Jaksa Rubinic
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Sampling Frequency ◽  
Harmonic Spectrum ◽  
Neutral Point ◽  
Control Technique ◽  
Switching Frequency ◽  
Finite Control ◽  
Control Set

This thesis proposes a new predictive control strategy to achieve fixed-switching frequency operation for a neutral-point clamped (NPC) inverter. The classical fixed-sampling frequency finite control-set model predictive control (FSF-FCS-MPC) operates with variable switching frequency, and thus produces spread-spectrum in an output current. The classical method also suffers from high computational complexity as the number of converter voltage levels increases. To overcome these issues, a high performance variable sampling frequency finite control-set model predictive control (VSF-FCS-MPC) strategy is proposed to control the power converters. The proposed control technique combines the advantages of space vector modulation (SVM) with a newly introduced mechanics to determine the appropriate sampling frequency. With these features the major requirements such as balancing of DC-link capacitor voltages, switching frequency minimization and common-mode voltage mitigation have been achieved with simultaneous elimination of even-order and inter-harmonics in the load current harmonic spectrum. The VSF-FCS-MPC strategy for current control with decoupled active/reactive power regulation of grid-connected multilevel converter was also analyzed. Moreover, a novel DC-link voltage balancing technique is presented which eliminates the need for balancing the capacitor voltages through cost function, and thus alleviates the weighting factor design. An introduction of SVM highly reduces the calculation time by considering only adjacent vectors, rendering FCS-MPC more suitable for implementation with multi-level converters with a number of voltage levels higher than three. Finally, the proposed control technique has been validated through simulation and experimental verification and a detailed comparison of VSF-FCS-MPC with FSF-FCS-MPC and SVM is presented

scholarly journals Comparative Study of Trajectory Tracking Control for Automated Vehicles via Model Predictive Control and Robust H-infinity State Feedback Control

2020 ◽  
Author(s):  
Kai Yang ◽  
Xiaolin TANG ◽  
Yechen Qin ◽  
Yanjun Huang ◽  
Hong Wang ◽  
...  
Keyword(s):  
Feedback Control ◽  
Model Predictive Control ◽  
Comparative Study ◽  
Predictive Control ◽  
Trajectory Tracking ◽  
State Feedback ◽  
Maximum Velocity ◽  
State Feedback Control ◽  
Lane Change ◽  
Double Lane Change

Abstract A comparative study of model predictive control (MPC) schemes and robust A state feedback control (RSC) method for trajectory tracking, is proposed in this paper. Both MPC-based and RSC-based tracking controllers are designed on the basis of a 3-DOF vehicle model, including longitudinal, lateral and yaw motions. The main objective of this paper is to compare both controllers’ performance in tracking expected trajectory under different scenarios. Therefore, three cases, namely, verification test, double lane change test and curve test, were built in Carsim-Simulink joint platform. The simulation results indicate that MPC controller performed better in terms of accuracy and responding time under well driving conditions. However, in the test of double lane change manoeuvre where the road adhesion was set as 0.2, the maximum velocity RSC can execute was 14m/s, while that for MPC was 10m/s. In addition, in the curve test, the maximum velocity MPC can carry out was only 9m/s and that for RSC was 12m/s. In conclusion, RSC was robust and stable when the driving conditions was worse, while MPC was prone to be unstable.

scholarly journals A novel predictive control strategy for neutral-point clamped converter with harmonic spectrum shaping

2021 ◽  
Author(s):  
Jaksa Rubinic
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Sampling Frequency ◽  
Harmonic Spectrum ◽  
Neutral Point ◽  
Control Technique ◽  
Switching Frequency ◽  
Finite Control ◽  
Control Set

This thesis proposes a new predictive control strategy to achieve fixed-switching frequency operation for a neutral-point clamped (NPC) inverter. The classical fixed-sampling frequency finite control-set model predictive control (FSF-FCS-MPC) operates with variable switching frequency, and thus produces spread-spectrum in an output current. The classical method also suffers from high computational complexity as the number of converter voltage levels increases. To overcome these issues, a high performance variable sampling frequency finite control-set model predictive control (VSF-FCS-MPC) strategy is proposed to control the power converters. The proposed control technique combines the advantages of space vector modulation (SVM) with a newly introduced mechanics to determine the appropriate sampling frequency. With these features the major requirements such as balancing of DC-link capacitor voltages, switching frequency minimization and common-mode voltage mitigation have been achieved with simultaneous elimination of even-order and inter-harmonics in the load current harmonic spectrum. The VSF-FCS-MPC strategy for current control with decoupled active/reactive power regulation of grid-connected multilevel converter was also analyzed. Moreover, a novel DC-link voltage balancing technique is presented which eliminates the need for balancing the capacitor voltages through cost function, and thus alleviates the weighting factor design. An introduction of SVM highly reduces the calculation time by considering only adjacent vectors, rendering FCS-MPC more suitable for implementation with multi-level converters with a number of voltage levels higher than three. Finally, the proposed control technique has been validated through simulation and experimental verification and a detailed comparison of VSF-FCS-MPC with FSF-FCS-MPC and SVM is presented

scholarly journals Decentralized Finite Control Set Model Predictive Control Strategy of Microgrids for Unbalanced and Harmonic Power Management

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 202298-202311
Author(s):  
Zhuoli Zhao ◽  
Jiexiong Zhang ◽  
Baiping Yan ◽  
Runting Cheng ◽  
Chun Sing Lai ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Power Management ◽  
Predictive Control ◽  
Control Strategy ◽  
Finite Control ◽  
Control Set ◽  
Harmonic Power
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