Positive Position Feedback Vibration Control of a Composite I-Beam With Fuzzy Gain Tuning

2002 ◽  
Author(s):  
H. Gu ◽  
G. Song
Keyword(s):  
Vibration Control ◽  
Least Squares ◽  
Fuzzy System ◽  
Vibration Suppression ◽  
Active Vibration Control ◽  
Flexible Structures ◽  
Training Data ◽  
Sensors And Actuators ◽  
Positive Position Feedback ◽  
Position Feedback

Positive position feedback (PPF) control is widely used in active vibration control of flexible structures. To ensure the vibration is quickly suppressed, a large PPF scalar gain is often applied in a PPF controller. However, PPF control with a large scalar gain causes initial overshoot, which is undesirable in many situations. In this paper, a fuzzy gain tuner is proposed to tune the gain in the positive position feedback control to reduce the initial overshoot while still maintaining a quick vibration suppression. The fuzzy system is trained by the desired input-output data sets by batch least squares algorithm so that the trained fuzzy system can behave like the training data. A 3.35 meter long I-beam with piezoceramic patch sensors and actuators is used as the experimental object. The experiments include the standard PPF control, standard PPF control with traditional fuzzy gain tuning, and PPF control with batch least squares fuzzy gain tuning. Experimental results clearly demonstrate that PPF control with batch least squares fuzzy gain tuner behaves much better than the other two in terms of successfully reducing the initial overshoot and quickly suppressing vibration.

Distributed active vibration cooperative control for flexible structure with multiple autonomous substructure model

2020 ◽  
Vol 26 (21-22) ◽  
pp. 2026-2036
Author(s):  
Xiangdong Liu ◽  
Haikuo Liu ◽  
Changkun Du ◽  
Pingli Lu ◽  
Dongping Jin ◽  
...  
Keyword(s):  
Vibration Control ◽  
Cooperative Control ◽  
Vibration Suppression ◽  
Control Strategies ◽  
Active Vibration Control ◽  
Flexible Structures ◽  
Lyapunov Theory ◽  
Sensors And Actuators ◽  
Active Vibration ◽  
Distributed Cooperative Control

The objective of this work was to suppress the vibration of flexible structures by using a distributed cooperative control scheme with decentralized sensors and actuators. For the application of the distributed cooperative control strategy, we first propose the multiple autonomous substructure models for flexible structures. Each autonomous substructure is equipped with its own sensor, actuator, and controller, and they all have computation and communication capabilities. The primary focus of this investigation was to illustrate the use of a distributed cooperative protocol to enable vibration control. Based on the proposed models, we design two novel active vibration control strategies, both of which are implemented in a distributed manner under a communication network. The distributed controllers can effectively suppress the vibration of flexible structures, and a certain degree of interaction cooperation will improve the performance of the vibration suppression. The stability of flexible systems is analyzed by the Lyapunov theory. Finally, numerical examples of a cantilever beam structure demonstrate the effectiveness of the proposed methods.

Experiments on Fault-Tolerant Active Vibration Control

2008 ◽  
Vol 130 (6) ◽  
Author(s):  
Tao Tao ◽  
Chakradhar Byreddy ◽  
Kenneth D. Frampton
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Filter Design ◽  
Fault Tolerant ◽  
Active Vibration Control ◽  
Research Work ◽  
Sensors And Actuators ◽  
Hybrid Automaton ◽  
Active Vibration ◽  
Detection Filter

The purpose of this work is to experimentally demonstrate a fault-tolerant active vibration control system. Active vibration control is achieved using piezoceramic sensors and actuators (transducers) that are attached to a simply supported beam. These transducers are used by a set of optimal H2 feedback compensators to minimize the lateral vibration of a beam. Actuator faults are detected and isolated with a Beard–Jones fault detection filter. This filter is a special case of Luenberger observer, which produces a residual output with specific directional properties in response to a system fault. In this current research work, a new Beard–Jones filter design methodology is introduced that permits its use on high-order systems and also on systems with feed-through dynamics. The output of this detection filter is monitored by a hybrid automaton that determines when faults occur. This hybrid automaton then directs the selection of a feedback compensator specifically designed for the detected system fault state. The result is a vibration control system that is capable of maintaining optimal performance in the presence of system faults.

Research of active vibration control optimal disposition based on CMQPSO

2021 ◽  
pp. 1-8
Author(s):  
Xiangzhong Meng ◽  
Ying Ma ◽  
Qiang Guo
Keyword(s):  
Particle Swarm Optimization ◽  
Control System ◽  
Vibration Control ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Cloud Model ◽  
Active Vibration Control ◽  
Sensors And Actuators ◽  
Swarm Optimization ◽  
Active Vibration

The adaptive quantum particle swarm optimization algorithm based on cloud model and the multi-island genetic algorithm [15] have obvious advantages in convergence speed to solve the sensor optimization problem, and can effectively achieve global optimization. Due to the installation of sensors and actuators, the electromechanical coupling coefficient of intelligent structures is changed, which affects the vibration energy of structures. In this paper, the reserved energy index of structural vibration control system is taken as the objective optimization function. The position, number, length and control gain of sensors and actuators of active vibration control system are optimized. The adaptive Quantum-behaved Particle Swarm Optimization algorithm in cloud model(CMQPSO) is used as the optimization strategy, and the cantilever beam is taken as an example. This approach is verified its effectiveness and feasibility. It is found that excellent optimization results are obtained.

Active vibration control of structures using a leader–follower-based consensus design

2016 ◽  
Vol 24 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Ehsan Omidi ◽  
S Nima Mahmoodi
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Flexible Structures ◽  
Distributed Parameter ◽  
Arbitrary Form ◽  
Piezoelectric Layers ◽  
Active Vibration ◽  
System States ◽  
Virtual Leader

This paper proposes a new leader–follower-based consensus vibration controller to actively suppress unwanted oscillations in distributed-parameter flexible structures. Actuation and sensing is performed via piezoelectric layers in a collocated sense. The actuator/sensor patches for the vibration control system are considered to collaborate in a network, and follow a virtual leader which is accessible to all agents. Hence, a vibration controller law is defined, to remove disagreement between agents and force the agents to follow the virtual leader. The proposed approach is an observer-based design, in which an optimal consensus state estimator is initially designed. Stability of the closed-loop system is investigated and the optimality conditions of the system are derived. Although the designed vibration controller could be implemented for suppression tasks in different distributed-parameter systems, a flexible clamped-clamped beam is used here for equation derivation and numerical performance verification. According to the results, the optimal observer estimates the system states in a finite time, as expected, and the vibration controller suppresses unwanted oscillations, either in resonant or arbitrary form, to a much lower level; while the disagreement between agents converges to zero. Additionally, suppression performance and robustness of the controller to failure in control system elements is investigated in comparison with a conventional positive position feedback controller, and its superiority is illustrated and discussed.

Sign in / Sign up

Export Citation Format

Share Document