scholarly journals An improved adaptive control method for active balancing control of rotor with time-delay

2017 ◽  
Vol 14 (23) ◽  
pp. 20171069-20171069 ◽  
Author(s):  
Li Zhang ◽  
Lei Luo ◽  
Juan Xu
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Control Method ◽  
Active Balancing ◽  
Balancing Control

scholarly journals Enhanced Nonlinear Robust Control for TCSC in Power System

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Chao Zhang ◽  
Xing Wang ◽  
Zhengfeng Ming ◽  
Zhuang Cai
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Robust Control ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Uncertain Parameter ◽  
Adaptive Backstepping ◽  
External Disturbances ◽  
Backstepping Sliding Mode Control

This paper proposes an enhanced robust control method, which is for thyristor controlled series compensator (TCSC) in presences of time-delay nonlinearity, uncertain parameter, and external disturbances. Unlike conventional adaptive control methods, the uncertain parameter is estimated by using system immersion and manifold invariant (I&I) adaptive control. Thus, the oscillation of states caused by the coupling between parameter estimator and system states can be avoided. In addition, in order to overcome the influences of time-delay nonlinearity and external disturbances, backstepping sliding mode control is adopted to design control law recursively. Furthermore, robustness of TCSC control subsystem is achievable provided that dissipation inequality is satisfied in each step. Effectiveness and efficiencies of the proposed control method are verified by simulations. Compared with adaptive backstepping sliding mode control and adaptive backstepping control, the time of reaching steady state is shortened by at least 11% and the oscillation amplitudes of transient responses are reduced by at most 50%.

Adaptive Control of Active Balancing Systems for Speed-Varying Rotors Using Feedforward Gain Adaptation Technique

1999 ◽  
Vol 123 (3) ◽  
pp. 346-352 ◽  
Author(s):  
Kwang-Keun Shin ◽  
Jun Ni
Keyword(s):  
Adaptive Control ◽  
Transfer Function ◽  
Control Method ◽  
Control Area ◽  
Positive Real ◽  
Single Plane ◽  
Active Balancing ◽  
Gain Adaptation ◽  
Jeffcott Rotor ◽  
Classical Technique

This paper presents a new adaptive control method for active balancing of speed-varying rotors. It is developed based on the feedforward gain adaptation problem, which is a classical technique in the continuous-time adaptive control area. The condition for using this technique is the need for strictly positive realness of the transfer function. In this research, the technique is re-examined and modified to be appropriate for the balancing problem. It is also shown that the rotor dynamics of single-plane balancing problem can easily be converted to a strictly positive real transfer function and that, consequently, the feedfoward gain adaptation technique can be applied. This paper demonstrates that the developed method can be applied to a simple Jeffcott rotor and can also be extended to the single-plane balancing problem of general flexible rotor. Simulation studies show that the new method works well as expected.

Adaptive Control of Multi-Plane Active Balancing Systems for Speed-Varying Rotors

2003 ◽  
Vol 125 (3) ◽  
pp. 372-381 ◽  
Author(s):  
Kwang-Keun Shin ◽  
Jun Ni
Keyword(s):  
Adaptive Control ◽  
Design Method ◽  
Adaptive Method ◽  
New Method ◽  
Simulation Studies ◽  
Direct Adaptive Control ◽  
Active Balancing ◽  
Positive Realness ◽  
Potential Impact ◽  
Balancing Control

The problem of active balancing of speed-varying rotors, whose dynamics are changing or hard to be known beforehand, is frequently encountered in many applications. This paper presents a new adaptive method for balancing speed-varying rotors with multi-plane active balancing devices. The new method utilizes the positive realness of the transfer function of the active balancing system. This paper first shows the positive realness of the active balancing system and combines it with a direct adaptive control design method. A set of simulations was conducted to show the validity of the developed control law. The simulation studies show that the new method works as expected and has potential impact on future active balancing control systems.

Adaptive control method for nonlinear time-delay processes

2007 ◽  
Vol 18 (3) ◽  
pp. 566-576 ◽  
Author(s):  
Chen Zonghai ◽  
Zhang Haitao ◽  
Li Ming ◽  
Xiang Wei
Keyword(s):  
Adaptive Control ◽  
Time Delay ◽  
Control Method

Adaptive Influence Coefficient Control of Single-Plane Active Balancing Systems for Rotating Machinery

1999 ◽  
Author(s):  
Stephen W. Dyer ◽  
Jun Ni
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Control Method ◽  
A Priori ◽  
Weighted Averaging ◽  
Control Law ◽  
Influence Coefficient ◽  
Single Plane ◽  
Line System ◽  
Active Balancing

Abstract Rotating unbalance is a costly source of harmful vibration affecting a wide variety of applications such as high-speed machine tools and turbomachinery. Active balancing technology allows adjustment of a machine’s balance state while conditions change as the machine continues to operate. An adaptive control law for single-plane active balancing is presented here for control of steady-state rotation-synchronous vibration. The adaptive control method, based on the well known “influence coefficient” approach, requires no a priori modeling or estimation of plant dynamics. A control “gain” parameter is introduced and shown to enhance stability robustness of the non-adaptive portion of the control law. A recursive on-line system identification method is presented that uses exponential weighted averaging to mitigate the effects of measurement noise and system nonlinearities. Experimental results establish the efficacy of the adaptive control system even in the face of certain nonlinear and time-varying rotordynamic systems.

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