Semi-active switching vibration control with tree-based prediction and optimization strategy

Abstract

A novel control strategy that combines model predictive control (MPC) with semi-active vibration control that uses a highly effective, energy-efficient, and stable piezoelectric transducer is proposed in this paper. Incorporating MPC into semi-active vibration control enables significant improvements in control performance and robustness. However, it is challenging to directly predict and optimize the input trajectory because the semi-active input has a state-dependent discontinuous nature. To realize effective optimal control, we need a strategy that can predict the discontinuous semi-active input trajectory in a reasonable manner and is computationally cost-efficient. The proposed method employs a prediction algorithm based on a tree data structure. The proposed algorithm achieves flexible prediction and optimization of a semi-active input trajectory with a simple tree traversal. In addition, the proposed method employs a switching criterion to minimize the computational cost and implement fast prediction and optimization. The proposed method is called predictive switching vibration control with tree-based formulation and optimization, or the PSTFO method. The simulation proved that the proposed PSTFO method can predict discontinuous semi-active input and realizes optimal vibration control performance and high robustness. In addition, the high control performance and robustness of the proposed method were experimentally validated.

Vibration Mechanics Analysis and Vibration Control Research

“…The characteristic frequency is the natural frequency of structural vibration, and for different modes, the characteristic frequency can reflect the different vibration forms of the structure. Measuring and identifying vibration modes involves real-time monitoring and data collection of structural vibration through sensors, and extracting vibration mode information of the structure through signal processing and modal identification algorithms [2] . Common measurement methods include accelerometers, strain gauges, and vibration sensors.…”

Comparison of Magnetostrictive-Actuated Semi-Active Control Methods Based on Synchronized Switching

“…Therefore, an electromechanical system is needed that combines the magnetostrictive actuator with the target structure to achieve superior vibration control performance. Semi-active control methods [13][14][15] are generally regarded as efficient and robust solutions. These methods involve selecting an appropriate passive state using a switch and are typically implemented by combining an actuator with an electric circuit.…”

Quasi-Zero Stiffness Isolator Suitable for Low-Frequency Vibration

“…Therefore, in many fields, such as aerospace [3], medical equipment [4], ultra-precision machining [5], etc., low-frequency vibration control is a central issue. Vibration control methods include active control [6][7][8], semi-active control [9][10][11], and passive control [12][13][14]. Active control requires high-precision sensors, controllers, and actuators, and semi-active control requires precise adjustment and design of the control method, which significantly increases the system's complexity.…”