An improved filter-u least mean square vibration control algorithm for aircraft framework

Chen

et al. 2017

Shock and Vibration

Self Cite

Active noise suppression for applications where the system response varies with time is a difficult problem. The computation burden for the existing control algorithms with online identification is heavy and easy to cause control system instability. A new active noise control algorithm is proposed in this paper by employing multiple model switching strategy for secondary path varying. The computation is significantly reduced. Firstly, a noise control system modeling method is proposed for duct-like applications. Then a multiple model adaptive control algorithm is proposed with a new multiple model switching strategy based on filter-u least mean square (FULMS) algorithm. Finally, the proposed algorithm was implemented on Texas Instruments digital signal processor (DSP) TMS320F28335 and real time experiments were done to test the proposed algorithm and FULMS algorithm with online identification. Experimental verification tests show that the proposed algorithm is effective with good noise suppression performance.

Section: Noise Sourcementioning

confidence: 99%

Adaptive Active Noise Suppression Using Multiple Model Switching Strategy

Chen

et al. 2017

Shock and Vibration

Self Cite

Journal of Vibration and Control

“…Zhu et al (2011) analyzed and applied the multi-input multi-output FULMS algorithm for active vibration suppression of a cantilever smart beam (Zhu et al, 2011). Huang et al (2013Huang et al ( , 2014 proposed an improved FULMS vibration control algorithm to solve the vibration reference signal extraction problem. Boz et al (2011) combined IIR filtering-based FULMS controller with an online secondary path modeling (OSPM) algorithm to suppress the vibration of a plate-like structure.…”

Section: Introductionmentioning

confidence: 99%

Adaptive active vibration control for piezoelectric smart structure with online hysteresis identification and compensation

Yang

Yao

et al. 2020

Smart structure vibration reduction based on adaptive active vibration control has become a hot research spot in recent years. A filtered-U least mean square algorithm based on an infinite impulse response filter structure is used to solve the interference of controller output to reference signal. The filtered-U least mean square algorithm is very suitable for the nonlinear vibration control of the flexible structure. This study focuses on the analysis and implementation of an adaptive active vibration control system for smart structure with a surface-bonded piezoelectric actuator. The piezoelectric actuator contained in the secondary path has nonlinear hysteresis property. The nonlinear hysteresis property will cause a nonlinear relationship between the structural vibration response and the control voltage, which deteriorates the robustness and control effect of the adaptive control. This study designs an improved version of the filtered-U least mean square algorithm with online hysteresis identification and compensation (filtered-U least mean square–online hysteresis identification and compensation) based on a discrete Prandtl–Ishlinskii model. The Prandtl–Ishlinskii model parameters of the nonlinear hysteresis property are identified online based on the least mean square algorithm. Based on the identified Prandtl–Ishlinskii model parameters, an inverse hysteresis compensator is established for feedforward compensation in the secondary path. Simulation results show that the proposed method can dynamically compensate the hysteresis nonlinearity of the secondary path, linearizing the nonlinear hysteresis. The vibration reduction effect of the proposed method is obviously better than that of other competing methods. A piezoelectric smart cantilever plate with PZT (or lead zirconate titanate, Pb (Zr, Ti)) actuators and sensors is designed to demonstrate the validity and efficiency of the proposed method by experiments. Experiment results demonstrate that the adverse effect of nonlinear hysteresis is eliminated well after feedforward hysteresis compensation is introduced; the unexpected frequency vibration caused by the hysteresis property is suppressed. The proposed methodology possesses an important advantage in application of the adaptive active vibration control of the piezoelectric smart structure.

“…A four-wire resistive serial Devine touch screen is chosen in this paper. The selected touch screen has high resolution, high-speed response, a correction, high stability, and never drift, etc [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Remote Monitoring System Design and Implementation for Impressed Current Cathodic Protection

Huang¹,

Deng²,

Han³

et al. 2017

dtcse

Self Cite

Impressed current cathodic protection technology (ICCP) is one of the effective methods for corrosion protection of ships, bridges. This paper illustrates a remote monitoring system design and implementation for impressed current cathodic protection based on the existed ship monitoring systems. Interactive control panel is added in the existed ICCP system. Taking ARM9 S3C2440 chip as the core, Devine LCP2138 type color touch screen uses the serial port to communicate with the host computer using Modbus remote terminal protocol. LCP2138 establish communication with the RS485 interface, to achieve real-time data backup, and provides a query for users and technical support. Finally, the system test results show that the system realizes the ICCP remote control monitoring. The monitoring data is accurate and system operation is reliable.