Complexity
Volume 2017 (2017), Article ID 6743184, 15 pages
https://doi.org/10.1155/2017/6743184

Research Article

Synchronization and Antisynchronization of -Coupled Complex Permanent Magnet Synchronous Motor Systems with Ring Connection

Cuimei Jiang and Shutang Liu

College of Control Science and Engineering, Shandong University, Jinan 250061, China

Correspondence should be addressed to Shutang Liu; stliu@sdu.edu.cn

Received 7 July 2016; Revised 18 September 2016; Accepted 20 September 2016; Published 26 January 2017

Academic Editor: Roberto Natella

Copyright © 2017 Cuimei Jiang and Shutang Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

This paper discusses synchronization and antisynchronization of -coupled complex permanent magnet synchronous motors systems with ring connection. Based on the direct design method and antisymmetric structure, the appropriate controllers are designed to ensure the occurrence of synchronization and antisynchronization in an array of -coupled general complex chaotic systems described by a unified mathematical expression with ring connection. The proposed method is flexible and is suitable both for design and for implementation in practice. Numerical results are plotted to show the rapid convergence of errors to zero and further verify the effectiveness and feasibility of the theoretical scheme.

1. Introduction

Since Fowler et al. [1] were the first to investigate the complex Lorenz equations, complex systems have played an important role in a variety of industrial fields. For example, complex systems can provide an excellent instrument for the description of various physical phenomena, such as detuned laser systems, amplitudes of electromagnetic fields, and thermal convection of liquid flows [2–4]. Another example is when synchronization of complex chaotic systems is used to transmit information in the secure communications, where complex variables (doubling number of real variables) increase the message contents and enhance security of the transmitted information. Hence, synchronization of complex chaotic systems has aroused great interest and been a hot interdisciplinary topic in nonlinear research during the last few decades [5–9]. Some synchronization schemes of real chaotic systems were extended in the complex field, such as complete synchronization [10], antisynchronization [11, 12], projective synchronization [13], and lag synchronization [14]. Additionally, there exist many synchronization schemes of complex chaotic systems, including complex complete synchronization [15], complex projective synchronization [16], complex modified projective synchronization [17, 18], and complex function projective synchronization [7], just to enumerate a few examples.

With the mentioned above, most of the works mainly focus on the usual drive-response synchronization within one drive system and one response system; there is very little concern on synchronization of multiple complex chaotic systems. As a matter of fact, synchronization of multiple complex systems can enhance better the security and lead a more bright future in communications than the usual synchronization schemes. Therefore, many researchers have devoted a great deal of time and efforts to study and analyze synchronization of multiple complex chaotic systems. For instance, Zhou et al. [19] investigated the combination synchronization problem in three identical and different hyperchaotic complex systems by means of two real scaling diagonal matrices. As introduced in [20], combination-combination synchronization among different nonlinear complex chaotic systems was realized by designing proper controllers. Sun et al. [21] made an excellent effort for examining combination complex synchronization of three identical hyperchaotic complex systems via two complex scaling diagonal matrices. Noticeably, Jiang and Liu [22] analyzed combination complex synchronization of real chaos and complex chaos with different dimensions, namely, generalized combination complex synchronization. Furthermore, a novel adaptive generalized combination complex synchronization scheme for different real and complex nonlinear systems with unknown parameters was reported in a recent literature [23].

To the best of our knowledge, the aforementioned results on synchronization of multiple complex chaotic systems did not consider the case that multiple complex chaotic systems are coupled in a ring structure as shown in Figure 1. In this chaotic model, the state variables of the first complex chaotic system couple the th system, and the state variables of the second system couple the first, analogically, until the state variables of the th system couple those of the th. Thus, the ring structure formed among multiple complex chaotic systems makes them correlative. Consequently, it is much more attractive and challenging for researchers to explore various synchronization schemes of multiple coupled complex chaotic systems with ring connection. Moreover, the previous attention was drawn for the research on synchronization of multiple coupled real chaotic systems with ring connection, such as [24–29] to name a few. To date, the study has rarely been explored to achieve synchronization of multiple coupled complex chaotic systems with ring connection.

Figure 1: Diagram of coupled complex chaotic systems with ring connection.

Up till now, there are many approaches for realizing chaos synchronization [30–32]. It should be mentioned that activation control is one of the most important approaches for synchronizing chaotic systems. By means of activation method, controllers can be constructed by canceling all nonlinear terms in original systems, and further synchronization of chaotic systems is converted to a linear problem. Meanwhile, the design procedure of sliding mode method is complex and the controller obtained by this method is not simple enough for many systems, while in [27–29, 33] authors presented the direct design approach based on antisymmetric structure to realize synchronization of chaotic systems with real variables. This direct design method has two advantages: (i) it presents an easy procedure for choosing proper controllers in chaos synchronization; (ii) it constructs simple controllers easily to implement. Therefore, in this paper, for -coupled complex chaotic systems with ring connection, we utilize the direct method based on antisymmetric structure to investigate chaos synchronization.

On the other hand, permanent magnet synchronous motor (PMSM) has direct applications in many areas especially for industrial applications in low-medium power range, since it has excellent features such as simple structure, high torque-to-inertia ratio, high torque-to-weight ratio, and low manufacturing cost. Therefore, a considerable amount of research has been devoted to study synchronization and control of the PMSM system [34–38]. However, so far, there are few papers discussing dynamical properties of the PMSM system with complex variables [39, 40]. Meanwhile, complex voltage and current exist widely in motor systems which result in more complex and richer dynamical dynamics in practice. Therefore, it is of practical significance to investigate the complex PMSM system.

Motivated by the above discussions, in this paper, we concentrate on synchronization and antisynchronization of -coupled complex PMSM systems with ring connection for the first time. By virtue of the direct method, the general controllers are constructed to transform the error system into a nonlinear system with special antisymmetric structure and achieve synchronization and antisynchronization of -coupled general complex chaotic systems. What is more, this proposed synchronization scheme is simple but efficacious.

2. System Descriptions

Consider a PMSM system in field-oriented rotor which takes the following form:

where , , and are the state variables which represent currents and motor angular frequency, respectively; and are the direct-axis stator and quadrature-axis stator voltage components, respectively; is the polar moment of inertia; is the external load torque; is the viscous damping coefficient; is the stator resistance; and are the direct-axis and quadrature-axis inductances, respectively; is rotor flux; and is pole-pairs.

When the air gap is even and the motor operates with no load and power outage, the dimensionless equations of a PMSM system can be expressed as follows:

where and are parameters. Considering that current in system (1) is plural and variables and in system (2) are complex numbers, Wang and Zhang [39] introduced a complex PMSM system as follows:

where and are complex variables and and are conjugate complex numbers of and , . When and , system (3) is chaotic and the phase portraits are shown in Figure 2.

(a)

(b)

Figure 2: Chaotic behavior and attractors of the complex PMSM system (3) in different phase planes and projections.

Authors studied some basic dynamical properties of the complex PMSM system (3) in [39, 40]. But there are many properties of the complex PMSM system remaining to be uncovered. In the sequel, we will discuss synchronization and antisynchronization of -coupled complex PMSM systems with ring connection.

The main construct of the rest of the paper is organized as follows. Section 3 investigates synchronization and antisynchronization of -coupled general complex chaotic systems described by a unified mathematical expression with ring connection. In Section 4, the complex controllers are provided to realize synchronization and antisynchronization of -coupled complex PMSM systems with ring connection. Finally, Section 5 gives some concluding remarks.

3. General Method for Synchronization and Antisynchronization of -Coupled Complex Chaotic Systems

A general form of -coupled complex chaotic systems with ring connection can be configured as

where () are complex state vectors of chaotic systems and ; are constant matrices ; are the continuous complex nonlinear functions ; are -dimensional real diagonal matrices; and are the ideal gains which represent the coupled parameters .

Suppose that the first system is chosen as the aim system, and add the controllers to the remaining systems. Thus system (4) can be rewritten as

The synchronization error vector is defined as . Apparently, if , then the error system can degenerate into the complete synchronization error system. And if , then the error system can degenerate into the antisynchronization error system. Taking into account system (5), we have the following error dynamical system as

where

Furthermore, it is not difficult to obtain that

Thus the essential goal of this paper is to design complex controllers () such that the error dynamical error tends to zero as ; namely,

and then

where is the Euclidean norm. This implies that synchronization and antisynchronization of -coupled complex chaotic systems are realized.

In what follows, applying the direct method based on antisymmetric structure, we investigate synchronization and antisynchronization of -coupled chaotic systems with complex variables.

First, the controllers and () are chosen as

where

and is a real coefficient matrix. Then the error dynamical systems (8) can be represented as

where Obviously, there is no unique choice for such a matrix to ensure that the error dynamical system (13) is asymptotically stable at the origin. In general, is defined as a state-dependent real coefficient matrix. Then we can obtain the sufficient stability conditions of system (13) by transforming it into a stable system with antisymmetric structure. Before we give our main result, the following lemma should be introduced first.

Lemma 1 (see [41]). If satisfies , exists, and it is bounded, then

Theorem 2. Synchronization and antisynchronization of -coupled complex chaotic systems (5) will occur by using the control laws (11), if the state-dependent real coefficient matrix satisfies the following assumptions:

where () and ().

Proof. Choose a positive definite Lyapunov candidate function as

Then the time derivative of along the trajectory of the error system (13) is as follows:

Substitution of (14) into (16) yields

where . Thus taking the integral of both sides, we have

As and exist and they are bounded, then

Hence, we get that the derivative of exists and it is bounded. According to Lemma 1, we have That implies that the closed-loop system (13) is globally asymptotically stable. Therefore, -coupled complex chaotic systems (5) realize synchronization and antisynchronization. This completes the proof.

The following corollary can be easily obtained from Theorem 2.

Corollary 3. If the structures of general complex chaotic systems are identical, that is, and , then complex controllers can be constructed as

where () are defined as in (12) and is a real coefficient matrix. Similar to the aforementioned discussion, we can achieve synchronization and antisynchronization of -coupled identical complex chaotic systems with ring connection based on antisymmetric structure.

As above-mentioned analysis, we easily know that the error dynamical systems (8) can be transformed into system (13) by utilizing complex control laws . Moreover, the suitable real coefficient matrix is chosen to translate system (13) into a stable system with an antisymmetric structure. It is known that the antisymmetric structure in Theorem 2 is the generalization of the tridiagonal structure [42, 43]. The error system constructed with the antisymmetric structure is more convenient than the one with tridiagonal structure when the original system has some zero elements at the tridiagonal position and nonzero elements at other positions. And we find that selecting the coefficient matrix plays an important role in achieving synchronization and antisynchronization of -coupled complex chaotic systems with ring connection.

4. Synchronization and Antisynchronization of -Coupled Complex PMSM Systems with Ring Connection

In the following, we investigate synchronization and antisynchronization of -coupled complex PMSM systems with ring connection. Now, -coupled complex PMSM systems with ring connection and designed controllers can be described as

where

are the coupled matrices , and are the complex control inputs.

The synchronization error can be presented as (). Then the error dynamical system can be written in the form

4.1. Synchronization of 4-Coupled Complex PMSM Systems

When , the error system is degraded into the following complete synchronization error system:

Choose the real coefficient matrix as follows:

Thus, complex controllers () are provided as

So we have and , where , , , , , , , , and

If the conditions

hold, then the error system is asymptotically stable due to Theorem 2. Hence, complete synchronization of 4-coupled complex PMSM systems is realized.

The simulation results are illustrated with the initial condition , , , and . Furthermore, selecting (), we obtain simulation results as shown in Figures 3 and 4. Figure 3 displays the state variables for complete synchronization of the -coupled complex PMSM systems. As we can see from Figure 4 the errors of synchronization converge asymptotically to zero in a quite short period. Thus, we achieve complete synchronization of -coupled complex PMSM systems with ring connection.

(a)

(b)

(c)

(d)

(e)

Figure 3: The state trajectories , , and () for synchronization of -coupled complex PMSM systems.

(a)

(b)

(c)

Figure 4: The error dynamics of synchronization among -coupled complex PMSM systems.

4.2. Antisynchronization of 4-Coupled Complex PMSM Systems

When , the error system is degraded into the following antisynchronization error system:

By choosing the real coefficient matrix ,

we design the complex controllers () as

Then, we obtain the following error system , where , , , , , , , , and

If the conditions

hold, then the error system is asymptotically stable under complex controllers () according to Theorem 2. Hence, antisynchronization of 4-coupled complex PMSM systems is realized.

The simulation results are illustrated with the initial condition , , , and . Furthermore, selecting , , and , we have simulation results as displayed in Figures 5 and 6. Figure 5 shows the state variables for antisynchronization of the -coupled complex PMSM systems. It follows from Figure 6 that the errors of synchronization converge asymptotically to zero in a quite short period. As expected, antisynchronization of -coupled complex PMSM systems can occur.

(a)

(b)

(c)

(d)

(e)

Figure 5: The state trajectories , , and () for antisynchronization of -coupled complex PMSM systems.

(a)

(b)

(c)

Figure 6: The error dynamics of antisynchronization among -coupled complex PMSM systems.

5. Conclusions

A lot of progress has been made in the research of dynamical properties and synchronization for PMSM system with real variables, while the study on complex PMSM system is seldom reported in the previous literatures. So this paper analyzes and validates synchronization and antisynchronization of -coupled complex PMSM systems with ring connection. First of all, for -coupled general complex chaotic systems described by a unified mathematical expression with ring connection, we realize synchronization and antisynchronization based on the direct design method which is flexible and is suitable both for design and for implementation in practice. Thus, the proposed method is successfully applied to achieve synchronization and antisynchronization of -coupled complex PMSM systems with ring connection on the basis of antisymmetric structure. Moreover, the synchronization scheme is so universal and simple that can be applicable to all complex chaotic systems, including those that can exhibit hyperchaotic behavior. Therefore, it is believed that the proposed scheme will play an important role in engineering practice.

Competing Interests

The authors declare that they have no competing interests.

Acknowledgments

The work is supported by Key Program of National Natural Science Foundation of China (no. 61533011) and the National Natural Science Foundation of China (no. 61273088, 61603203).

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