Adaptive fault-tolerant control algorithm for inverter torque ripple

2021 ◽  
pp. 102-109
Author(s):  
Xiushan Liu ◽  
◽  
Qin Zhang ◽  
Jun Cheng ◽  
◽  
...  
Keyword(s):  
Control Algorithm ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Lyapunov Stability Theory ◽  
Torque Ripple ◽  
Control Flow ◽  
Suppression Factor ◽  
Application Range ◽  
Suppression Effect ◽  
Adaptive Parameters

Aiming at the shortcomings of traditional PCB control algorithm and reduce control algorithm, such as poor fault tolerance and uncontrollable change of adaptive parameters, an adaptive fault-tolerant control algorithm based on inverter torque ripple is designed. Control the voltage space change, master the specific output waveform of torque ripple, get the optimal PWM suppression factor by calculating the peak and valley floating trend, and determine the suppression effect of inverter torque ripple. On this basis, Lyapunov stability theory is introduced to determine the application range of adaptive reference system. By calculating the fault-tolerant factor of the interval, the basic control flow is improved, and the adaptive fault-tolerant control algorithm based on the torque ripple of the inverter is realized. The experimental results show that the fault-tolerant ability of the control algorithm is improved by about 20% when the adaptive parameters are always in the controllable range.

Adaptive neural fault-tolerant control for course tracking of unmanned surface vehicle with event-triggered input

2021 ◽  
pp. 095965182110131
Author(s):  
Guoqing Zhang ◽  
Shen Gao ◽  
Jiqiang Li ◽  
Weidong Zhang
Keyword(s):  
Neural Control ◽  
Fault Tolerant ◽  
Lyapunov Stability Theory ◽  
Actuator Faults ◽  
Closed Loop System ◽  
External Disturbances ◽  
Unmanned Surface Vehicle ◽  
Adaptive Parameters ◽  
Control Gain ◽  
Event Triggered

This study investigates the course-tracking problem for the unmanned surface vehicle in the presence of constraints of the actuator faults, control gain uncertainties, and environmental disturbance. A novel event-triggered robust neural control algorithm is proposed by fusing the robust neural damping technique and the event-triggered input mechanism. In the algorithm, no prior information of the system model about the unknown yawing dynamic parameters and unknown external disturbances is required. The transmission burden between the controller and the actuator could be relieved. Moreover, the control gain-related uncertainties and the unknown actuator faults are compensated through two updated online adaptive parameters. Sufficient effort has been made to verify the semi-global uniform ultimate bounded stability for the closed-loop system based on Lyapunov stability theory. Finally, simulation results are presented to illustrate the effectiveness and superiority of the proposed algorithm.

Distributed robust H∞ adaptive fault-tolerant control of amorphous and flat air-to-ground wireless self-organizing network system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhifang Wang ◽  
Jianguo Yu ◽  
Shangjing Lin ◽  
Junguo Dong ◽  
Zheng Yu
Keyword(s):  
Flight Control ◽  
Control Algorithm ◽  
Ad Hoc ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Integrated System ◽  
External Disturbances ◽  
Content Type ◽  
Actuator Failures ◽  
Wireless Signal

Purpose The paper takes the air-ground integrated wireless ad hoc network-integrated system as the research object, this paper aims to propose a distributed robust H∞ adaptive fault-tolerant control algorithm suitable for the system to distribute to solve the problem of control and communication failure at the same time. Design/methodology/approach In the paper, the authors propose a distributed robust H∞ adaptive fault-tolerant control algorithm suitable for the air-ground integrated wireless ad hoc network-integrated system. Findings The results show that the integrated system has good robustness and fault tolerance performance indicators for flight control and wireless signal transmission when confronted with external disturbances, internal actuator failures and wireless network associated failures and the flight control curve of the quadrotor unmanned aerial vehicle (UAV) is generally smooth and stable, even if it encounters external disturbances and actuator failures, its fault tolerance performance is very good. Then in the range of 400–800 m wireless communication distance, the success rate of wireless signal loop transmission is stable at 80%–100% and the performance is at least relatively improved by 158.823%. Originality/value This paper takes the air-ground integrated wireless ad hoc network-integrated system as the research object, based on the robust fault-tolerant control algorithm, the authors propose a distributed robust H∞ adaptive fault-tolerant control algorithm suitable for the system and through the Riccati equation and linear matrix inequation method, the designed distributed robust H∞ adaptive fault-tolerant controller further optimizes the fault suppression factor γ, so as to break through the limitation of only one Lyapunov matrix for different fault modes to distribute to solve the problem of control and communication failure at the same time.

Design of a robust fault-tolerant control algorithm based on failure mode effects criticality analysis for a three-axis satellite

2017 ◽  
Vol 233 (1) ◽  
pp. 91-110
Author(s):  
Mohammad Reza Abedini ◽  
Mostafa Abedi
Keyword(s):  
Failure Mode ◽  
Control Algorithm ◽  
Failure Modes ◽  
Fault Tolerant ◽  
Equilibrium Points ◽  
Fault Tolerant Control ◽  
System Level ◽  
Fault Estimation ◽  
Mode Effects ◽  
Criticality Analysis

This paper proposes a robust fault-tolerant control algorithm for a three-axis satellite. In this regard, an adaptive sliding attitude control algorithm is suggested, which has the capability of fault estimation in the satellite actuators and correction of their effects. For this, the disturbances due to environmental effects and actuator failures and also the satellite unknown parameters are estimated by the adaptive updating law; the sliding mode algorithm compensates the errors due to estimation process. In the suggested design process, the sliding surface is selected so that the unwinding and singularity problems are solved, and also a compensator part is included to remove unstable equilibrium points. In this paper, the failure mode effects criticality analysis have been done to classify different failure modes of reaction wheel according to their severity and probability of occurrence. Accordingly, the critical failure modes and their effects at the control system level are derived. It is shown that the derived critical failures lead to small or severe variations in the generated torques of reaction wheels for which a supervision level will be proposed to correct their effects. Finally, different simulations are conducted to validate expected performance of the suggested algorithms.

Research on the Fault-Tolerant Control Algorithm of SVPWM for NPC Three-Level Inverters

2012 ◽  
Vol 433-440 ◽  
pp. 4220-4228
Author(s):  
Wen Zhong Ma ◽  
Jin Yan Sun ◽  
Hong Mei Zhang ◽  
De Bao Tian ◽  
Hong Fei Pang
Keyword(s):  
Simulation Model ◽  
Control Algorithm ◽  
Fault Tolerant ◽  
Short Circuit ◽  
Fault Tolerant Control ◽  
Space Vector ◽  
Matlab Simulink ◽  
And Control ◽  
Short Circuit Fault ◽  
Inverter Topology

This paper mainly introduces fault-tolerant technology of three-level NPC inverters. For the three-level inverter topology and control characteristics, we use space vector (SVPWM) algorithm for modulation. when a short circuit fault in the inverter device,we use redundant space voltage vectors, and get control algorithm of redundant. Using MATLAB/Simulink software, a simulation model is analyzed, and the results demonstrate the feasibility of the method.

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