Research Article  Open Access
Yongjun Hou, Pan Fang, "Investigation for Synchronization of a RotorPendulum System considering the MultiDOF Vibration", Shock and Vibration, vol. 2016, Article ID 8641754, 22 pages, 2016. https://doi.org/10.1155/2016/8641754
Investigation for Synchronization of a RotorPendulum System considering the MultiDOF Vibration
Abstract
This work is a continuation for our published literature for vibration synchronization. A new mechanism, two rotors coupled with a pendulum rod in a multiDOF vibration system, is proposed to implement coupling synchronization, and the dynamics equation of mechanism is derived by Lagrange equation. In addition, the coupling relationship between the vibrobody and the pendulum rod is ascertained with the Laplace transformation method, based on the dimensionless equation of the dynamics system. The Poincare method is employed to study the synchronization state between the two unbalanced rotors, which is converted into that of existence and the stability of solutions for synchronizationbalance equations. The obtained results are supported by computer simulations. It is demonstrated that the values of the spring stiffness coefficient, the length of the pendulum, and the angular installation of the pendulum are important parameters with respect to the synchronous behavior in the rotorpendulum system.
1. Introduction
The word “synchronization” is often encountered in both science and daily life. Our surroundings are full of synchronization phenomenon, which is considered as an adjustment of rhythms of oscillating objects due to their internal weak couplings [1]. For example, violinists play in unison, insects in a population emit acoustic or light pulses with a common rate, birds in a flock flap their wings simultaneously, and the heart of a rapidly galloping horse contracts once per locomotory cycle [2]. Synchronization phenomena in large populations of interacting elements are the subjects of intense research efforts in physical, biological, chemical, and social system; however, the most representatives are synchronization of complex systems [3–5], coupled with pendula or mechanical rotors in recent years. For the synchronization of pendula, in the particular case of Huygens’ clocks system, the remarkable feature reported by Huygens in 1665 is that pendulum clocks synchronize in antiphase. Nowadays the synchronized limit behavior of Huygens’ clocks, synphase and antiphase synchronization of the pendula, is studied considering the different values of spring stiffness [6, 7]. Meanwhile, the synchronization of derivatizations of Huygens’ clocks, including two coupled double pendula [8], pendulum coupled by an elastic force [9], and pendula connected by linear springs [10], has been attracting many scholars’ attention. For the synchronization of rotors, Blekhman [1] proposed the Poincare method for the synchronization state and stability and by now this method is widely used in engineering. Based on Blekhman’s method, many scientists have been developing the other methods to analyze the synchronization of the rotors. Wen et al. [11] developed the average method to investigate synchronization and stability of multiple rotors in afterresonance. Zhang et al. [12, 13] described the average method of modified small parameters, which immensely simplify the process for solving the problems of synchronization of the rotors. Then, Fang et al. [14] employed the average method of modified small parameters to explore the synchronization of two homodromy rotors installed on a double vibrobody in a coupling vibration system. Sperling et al. [15] presented analytical and numerical investigation of a twoplane automatic balancing device, for equilibration of rigidrotor unbalance. Balthazar [16, 17] examined selfsynchronization of four nonideal exciters in nonlinear vibration system via numerical simulations. Djanan et al. [18] explored the condition, for which three motors working on a same plate can enter into synchronization with the phase difference depending on the physical characteristics of the motors and the plate.
The abovementioned researches are mainly synchronization of the pendula or the rotors; however, the synchronization of the rotors coupled with pendula is less reported. Recently, we have proposed synchronization of two homodromy rotors coupled with a pendulum rod in an postresonant system [19], but the influence of the multiDOF vibration of vibrobody on the synchronous state of the rotors is less considered. This paper is a continuation of our published literature by means of the Poincare method, building on the original work of Blekhman. Here, we consider the model of two homodromy rotors coupled with a rigid pendulum rod through a torsion spring, and the vibrobody is connected to a fixed support by means of springs. It is demonstrated that the values of the spring stiffness coefficient, the length of the pendulum, and the angular installation of the pendulum are important parameters with respect to the synchronous behavior in the rotorpendulum system.
This paper is organized as follows. Section 2 describes the strategy and considered model. In Section 3, we employ the Laplace transform method to calculate the value of the coupling coefficients. In Section 4, we derive the synchronization equation and the synchronization criterion of the system. In Section 5, we compare and analyze the values of the stable phase difference with theoretical computations and the computer simulations. Finally, we summarize our results in Section 6.
2. Strategy and Model
2.1. Strategy
Consider the dynamic equation of a rotation system:where , is a small parameter, is the rotational inertia of the th induction motors, is the mechanical damping of the motors, is the damping ratio of the system in the direction, and is natural frequency of the system in direction. and are mechanical velocity and phase angular of the th unbalanced rotor, respectively.
Based on (1), the following sequence of analysis for vibration system employing synchronizing rotors can be formulated:(1)Steady forced vibrations with are determined by from the supporting body or supporting system of bodies (i.e., from the second formula of (1) considering ) when rotors are uniformly rotating with initial phase ; that is, (2)Equation (3) mentioned above may correspond only to such values of constants , which satisfy Here and below the angle brackets show the average within ; that is, where symbol represents a function related to time [1].(3)If a certain set of constants , which satisfy (4), real parts of all roots of the th order algebraic equation are negative, then at sufficiently small this set of constants is indeed correlated with the unique, analytical relative to , asymptotically stale periodic solution of (1). This solution changes into the fundamental solution (see (4)) at . If the real part of at least one root of (6) is positive, then the corresponding solution is unstable. With purely imaginary zero roots, an additional analysis is required in general case [1].
2.2. Model
A simplified rotorpendulum system depicted in Figure 1(a) is considered. This model consists of a rigid vibrobody of mass [Kg], a rigid pendulum rod, and two unbalanced rotors. The rigid vibrobody is elastically supported via linear springs with stiffness [N/m], [N/m], and [N/rad] and linear viscous dampers with damping constants [Ns/m], [Ns/m], and [Nm/(rad/s)], respectively. Unbalanced rotor is modelled by a point mass [Kg] (for ) attached at the end of a massless rod of length [m]. One of the unbalanced rotors in the system is directly mounted on the vibrobody, and the other is fixed at the end of a pendulum rod, which is connected with the vibroplatform by a linear torque spring with stiffness [N/rad] and a linear viscous damper with damping constant [Nm/(rad/s)]. Note that the two rotors are driven separately in the same direction by two identical induction motors. The rotation angle of rotor is denoted by (for ) in [rad]; the oscillating angle of the pendulum rod is denoted by in [rad]; the installation angle of the pendulum rod is expressed by in [rad]; represents the electromagnetic torque of the induction motors in [N/m]; signifies resistance torque in bearings; and , , and are the vibration displacement of the vibrobody in [m], [m], and [rad], respectively.
(a)
(b)
As illustrated in Figure 1(b), three reference coordinates of the system can be assigned as follows: the fixed coordinate ; the nonrotating moving coordinate , which undergoes the translation motion while remaining parallel to coordinate , respectively; the rotating coordinate which dedicates the rotation motion around points . The three reference coordinates of the vibrobody separately coincide with each other when the system is in the static equilibrium state.
In the reference frame , the center coordinate of the rotors and pendula can be expressed as
In the reference frame , the center coordinate of the rotors and pendula, (), can be expressed aswhere is displacement vector of the mass center of the rigid vibrobody, .
The kinetic energy of the system can be obtained by
The potential energy of the system is approximated to
Moreover, the viscous dissipation function of the system is expressed by
The dynamics equation is obtained by using Lagrange’s equation:
If is chosen as the generalized coordinates, the generalized force are , , , and , respectively. As and in the system, the inertia coupling stemming from asymmetry of the two rotors can be neglected. Substituting (9), (10), and (11) into (12), we can yield the dynamic equation of the vibration system as the following form:where , , , and .
Assuming that the natural frequency of the system is unequal to or far away from the excitation frequency, thus the oscillating angle of pendulum rod can be considered small and periodic:where is amplitude of the oscillating angle of pendulum rod (here, ) and is the phase angular of the pendulum rod.
Having calculated the derivative of the function with respect to , we will write the relationship under consideration asHence, it can be seen that the items related to symbol in (13) are nonlinear; however, the nonlinear characteristics and dampers acted on the system are weaker when the values of the parameters in the system satisfy the assumptions above. Meanwhile, considering the solution of the problem by the Poincare method (i.e., based on the fundamental equation (1)), we will introduce the small parameter into (13), thus presenting it in the following form:whereAccording to [12], when the two rotors synchronously rotate, the electromagnetic torque of the inductions can be linearized at the vicinity of as where is the mutual inductance of the th induction motor, is stator inductance of the th induction motor, is the number of pole pairs of the induction motor, is synchronous electric angular velocity, is the rotor resistance of the th induction motor, and is the amplitude of the stator voltage vector.
3. Steady Response
The first four formulas in (16) are coupling dynamics equations related to DOFs , , , and . When the system operates in the steady state, the acceleration of the three motors changes very little (close to zero), so and can be neglected in these formulas. In addition, taking no account of the items related to small parameter and introducing the following dimensionless parameters in the mentioned formulas,We obtain the dimensionless dynamics equations:It can be seen that (20) are coupling dynamic equations related to DOFs , , , and . Applying the Laplace transform to (20), one getsConsidering that the natural frequencies of the springs connected to the foundation are approximately identical (i.e., ), thus, , , , and can be expressed: where , , and .
Applying the inverse Laplace transformation to (22), introduce frequency ratio , , , and into the formulas:In this case, the spring stiffness values , , , and are converted into the function of frequency ratios , , , and through the natural frequency, respectively. In the paper, we assume that , and so it follows that . From (22) and (23) one getswhere
Parameter () in (25) represents the mutual coupling coefficients among the rotors, the pendulum rod, and the vibrobody through the springs. The larger the value of the coupling coefficient is, the stronger the coupling ability of the system is. In order to understand the coupling characteristics of the system, the following numerical computations have been performed with assumption that parameters , , , , and are constants. In this case, we can confirm the value of the coupling coefficients when changing the value of parameters , , , , and within definite ranges, respectively. According to Table 1, we can determine the value of the coupling coefficients.
(a) Parameter values for system equation (13)  
 
(b) Parameter values according to dimensionless equation (19)  

From Figure 2 it follows that the value of the coupling coefficients depends on the values of parameters , , , , and . In this figure, it can been seen that the peak value of the coupling coefficients is related to the frequency ratio of the system. However, frequency ratios , , , and are the function of the spring stiffness values , , , and , respectively. So the values of the coupling coefficients are determined by the spring stiffness. Clearly, for and or , the vibration frequency of the system is less than the eigenfrequency of the system, which is denoted as beforeresonance system; in this case, the absolute values of are smaller except and when . For and , the vibration frequency of the system is approximately equal to the eigenfrequency of the system, which is denoted by resonance system; in this case, the absolute value of parameter is far larger when is nonzero. For and , the vibration frequency of the system is larger than the eigenfrequency of the system, which is denoted by afterresonance system; in this case, the value of parameter is no more than 2.0. Then, we can define type of the coupling system generally used in engineering according to frequency ratio, as shown in Table 2.

4. Synchronization and Stability
In this section, we analyze the synchronization and stability of the system with theoretical method. As was already mentioned in (3), the family of synchronous solutions is assumed asSo in synchronous state, (24) can be rewritten as Specifying parameter as the phase difference between the two rotors, we haveConsequently, the basic equation (4) is expressed asDuring the synchronous state, consider the excessive torque of the rotors to be zero [1]:Therefore, according to (29) and (30), further calculations lead to the following form:We can define (31) as the balance equation of synchronization state of the system, on which we can determine phase difference with numerical computations. It should be noted that the value of the phase difference is related to parameters , , , , , , , and . However, parameter is the function mainly related to frequency ratios , , , , , and , which indicate that the spring stiffness and the structure parameters of the system are the key parameters to determine the value of phase difference .
Now, let us consider the stability of the synchronous rotation for the rotors. Considering (31), the following criterion of synchronous stability is obtained from (6):Rearranging (32), the stability criterion of synchronization of the system can be simplified as Only should the values of the system parameters satisfy the balance equation and the stability criterion of synchronization of the system, the synchronous state of the rotors can be determined. In this case, the phase difference between the rotors is called stable phase difference.
5. Numerical Discussions
The abovementioned sections have given some theoretical discussions in the simplified form on synchronization problem for the vibration system that the two unbalanced rotors coupled with a pendulum rod. In this section, we will quantitatively analyze the results of the stable phase difference. The parameter values corresponding to general engineering application are as given in Table 1.
5.1. Theoretical Solutions
Under the condition that the balance equation and stability criterion of synchronization between the two rotors (see (31) and (33)) are satisfied, the stable phase difference can be determined by using numerical method. It is worthy to point out that the motion type of the rigid vibrobody is dependent on the synchronous state, which is determined by the values of the stable phase difference. Based on the theoretical deductions, numerical computation will be conducted in the following sections, considering the variations of installation angular , frequency ratios , , and , mass ratio , and pendulum length .
5.1.1. Synchronous State for SBCWB and SACWB
Depending on variations of the values of the system parameters, in this subsection, we observe the synchronous states of two different systems, that is, system of beforeresonance coupled with beforeresonance (SBCWB), and system of afterresonance coupled with beforeresonance (SACWB). We choose the systems as the comparison of the synchronous states because we want to know whether the variations of the stiffness coefficients of the springs have influence on the synchronous states, although SBCWB may be rarely applied in vibration screening engineering.
In Figure 3, we present the values of the stable phase difference for SBCWB and SACWB considering variation of frequency ratio and installation angular . The values of the structure parameters are fixed at , , , , and ; additionally, frequency ratio is set as 0.2, 0.4, 0.6, and 0.8, respectively. From the figure, the stable phase difference locates in the different values in the intervals of and , respectively. It demonstrates that the stiffness coefficients of the springs determine the synchronous states in some certain extent ([1] describes that the motion, as the existence of , is called synphase synchronization and the motion, as the existence of