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Combination of feedback control and spring-damper to reduce the vibration of crane payload

Nguyen Trong Kien

Archive of Mechanical Engineering

2021

LXVIII, nr 2

165--181

Operating cranes is challenging because payloads can experience large and dangerous oscillations. Anti-sway control of crane payload can be approached by the active methods, such as feedback control, or passive methods. The feedback control uses the feedback measurement of swing vibration to produce the command sent to a motor. The feedback control shows good effectiveness, but conflict with the actions of the human operator is a challenge of this method. The passive method uses the spring-damper to dissipate energy. The passive method does not cause conflict with the human operator but has limited performance. This paper presents the combination of two methods to overcome the disadvantages of each separate one. The passive method is used to improve the efficiency of the feedback method to avoid conflicts with the human operator. The effectiveness of the combination is simulated in a 2D crane model.

Fault detection and diagnosis of the valve actuators in the discharge air temperature (DAT) systems, using frequency analysis

Tudoroiu N., Zaheer-Udin M.

Systems Science

2005

Vol. 31, no 3

129-137

One of the main objectives of our research is to build several ARMA linear models and nonlinear neuro models for DAT systems such as developed in [2], [3]. Based on these models we have been interested in building some feedback control strategies for these systems [2], [4], [5]. Due to the high complexity of the HVAC systems the requirements for reliability, availability, and security grow significantly and consequently investigations in this field become necessary. The objective of our paper is to develop some strategies for the fault detection and diagnosis (FDD) of the HVAC systems based on frequency and spectral analysis of the system response. The main interest is focused on dealing with the unanticipated valve actuator failures in the most general formulation based on the frequency analysis of the system response. In our study, we consider that the increasing of the backlash opening in the valve actuators could create serious problems by degrading drastically the HVAC system performance. Based on the spectrum analysis we are capable to gather the most significant patterns that characterize well each fault mode detected, and finally a systematic procedure and technique for proper fault accommodation under the unanticipated failures will be developed. As tools we use MATLAB with SIMULINK toolboxes from control systems, system identification and signal processing. Compared to the other FDD strategies developed in HVAC literature, the one presented in this paper is more simple and much easier to apply with the possibility of extension to other possible applications from different fields.