Research Article  Open Access
Research on the Influence of Switching Frequency on LowFrequency Oscillation in the VoltageControlled BuckBoost Converter
Abstract
The influence of switching frequency on the lowfrequency oscillation in the voltagecontrolled buckboost converter is studied in this paper. Firstly, the mathematical model of this system is derived. And then, a glimpse at the influence of switching frequency on the lowfrequency oscillation in this system by MATLAB/Simulink is given. The improved averaged model of the system is established, and the corresponding theoretical analysis is presented. It is found that the switching frequency has an important influence on the lowfrequency oscillation in the system, that is, the lowfrequency oscillation is easy to occur when the switching frequency is low. Finally, the effectiveness of the improved averaged model and the theoretical analysis are confirmed by circuit experiment.
1. Introduction
Unlike the PWMcontrolled boost converter and the PWMcontrolled buck converter, if the input voltage polarity of the PWMcontrolled buckboost converter is positive, its output voltage polarity will be negative [1], and accordingly this converter has been widely used in the condition that the negative output voltage is needed, such as the audio amplifier, the signal generator, or the data transmission interface. Therefore, the modeling, dynamical behaviors of the PWMcontrolled buckboost converter has been a focal topic research in recent years [2–11]. Especially, due to the fact that the PWMcontrolled buckboost converter is a strong nonlinear and nonautonomous system, the various kinds of nonlinear phenomena can be observed and the theoretical analysis of these nonlinear phenomena have also attracted much attention of researchers [3–11]. For example, Aroudi et al. studied the lowfrequency oscillation and chaos in the voltagecontrolled buckboost converter by using the discrete model in 2000 [3]. Wu et al. studied the subharmonic and chaos in the currentcontrolled buckboost converter by using the discrete model in 2002 [4, 5]. From the existing literatures, it is found that the main analysis model for investigating the nonlinear phenomenon in the PWMcontrolled buckboost converter is the discrete model [3–11]. However, this model is too complicated, especially for obtaining the solution of each state of the PWMcontrolled buckboost converter. Thus, it is difficult to use the discrete model to analyze and design the PWMcontrolled buckboost converter in the engineering applications. Especially, if the lowfrequency region of the PWMcontrolled buckboost converter is only concerned, the discrete model is too redundant [12]. Additionally, the conventional averaged model is widely accepted to analyze and design this converter. Also, the conventional averaged model can be used to identify the occurrence of the lowfrequency oscillation, and this point has been confirmed by Iu and Tse in [13]. However, the influence of the switching frequency on the lowfrequency oscillation in the PWMcontrolled buckboost converter cannot be identified since there is no switching frequency parameter in its conventional averaged model. Therefore, it is necessary to explore other models to analyze the influence of the switching frequency on the lowfrequency oscillation in the PWMcontrolled buckboost converter effectively and successfully.
In this paper, the influence of the switching frequency on the lowfrequency oscillation in the voltagecontrolled buckboost converter is analyzed by establishing the improved averaged model. The rest of the paper is organized as follows. In Section 2, the circuit operation of the system and its mathematical model are given. In Section 3, a glimpse at the lowfrequency oscillation in the voltagecontrolled buckboost converter from the MATLAB/Simulink is presented. And then, the improved averaged model of the system is established. In Section 5, theoretical analysis of the influence of switching frequency on the lowfrequency oscillation in the system is given. In Section 6, some experimental results are given to confirm the effectiveness of the theoretical analysis. Finally, some concluding remarks and comments are given in Section 7.
2. Circuit Operation and Its Mathematical Model
The schematic of the voltagecontrolled buckboost converter is shown in Figure 1. Obviously, this system consists of two parts: the buckboost converter and the voltage controller.Since the polarity of the output voltage is negative, the inverting amplifier (AM_{1}) should be inserted in the voltage controller loop. Note that is the output voltage of the voltagecontrolled buckboost converter, is the current through of the inductor L, is the output voltage of the voltage compensator, d is the duty cycle, is the input voltage of the system, is the load resistor, is the reference voltage, and , , , and are the parameters of the voltage controller.
According to the circuit theory and the characteristic of each component, the mathematical model of the voltagecontrolled buckboost converter in the following three states can be derived.
The first state ( is on and is off):
The second state ( is off and is on):
The third state ( is off and is off)
Note that the switch is on or is off is determined by comparing the voltage with the ramp signal . If , the switch is on. Otherwise, the switch is off. The is described as where V_{L} is the lower threshold, V_{U} is the upper threshold, V_{m} = V_{U} − V_{L} is the peaktopeak value of the , and T is the switching period.
3. A Glimpse at the LowFrequency Oscillation from the MATLAB/Simulink
According to (2.1)–(2.4), the simulation model for the voltagecontrolled buckboost converter in the MATLAB/Simulink is established and shown in Figure 2.
The circuit parameters are chosen as = 12 V, L = 3 mH, C = 10 μF, R = 100 , k, k, k, μF, V, V_{L} = 0 V, V_{U} = 5 V. The dynamical behaviors of the voltagecontrolled buckboost converter under different switching frequency are investigated as follows. Note that the MATLAB/Simulink is an effective and convenient tool for calculating the numerical solution of the system and it has been widely used in power electronics, such as DCDC converter [14, 15], ACDC converter [15], and matrix converter [16]. Furthermore, when the simulation process is carried out, the solver is chosen as Ode23tb.
The simulation results for f = 20 kHz are shown in Figure 3. Figure 3(a) shows the timedomain waveform of the output voltage and Figure 3(b) shows the timedomain waveform of the inductor current i_{L}. It is obvious that the system is in stable operation and the peak value of inductor current is equal to 0.673 A, that is, = 0.673 A.
(a)
(b)
The simulation results for f = 4 kHz is shown in Figure 4. It is obvious that the system is in unstable operation and the lowfrequency oscillation occurs. Moreover, the peak value of inductor current is equal to 1.294 A, that is, = 1.294 A, which is about to two times larger than the one for f = 20 kHz in stable operation. Obviously, the current stress of the switch and the diode is increased when the lowfrequency oscillation occurs.
(a)
(b)
Also, in order to observe the influence of the switching frequency on the dynamical behaviors of the voltagecontrolled buckboost converter more clearly, the critical points of the occurrence of the lowfrequency oscillation in the different parameter spaces from the MATLAB/Simulink are noted down and plotted in Figures 5 and 6. Figure 5 shows the results in the parameter space of the switching frequency f versus the resistor and it is found that the lowfrequency oscillation is easy to occur when the switching frequency f is low or the resistor is high. Figure 6 shows the results in the parameter space of the switching frequency f versus the capacitor C and it is found that the lowfrequency oscillation is easy to occur when the switching frequency f is low or the capacitor C is high.
From the above MATLAB/Simulink simulation results, the conclusion can be obtained that the switching frequency has an important influence on the occurrence of the lowfrequency oscillation in the voltagecontrolled buckboost converter, that is, the lowfrequency oscillation is easy to occur when the switching frequency is low, and accordingly it is necessary to explore the proper analysis model to investigate this influence in theoretic.
4. Theoretical Derivation
From Figures 3 and 4, one can see that the voltagecontrolled buckboost converter mainly operates in continuous conduction mode (CCM) operation, and accordingly only the CCM operation in the voltagecontrolled buckboost converter is considered in this paper. According to (2.1), (2.2), (2.4), and the average modeling method [13], the averaged model of the voltagecontrolled buckboost converter can be described directly as follows: Note that , , , and are the average value of , , , and , respectively. For the conventional averaged model, the duty cycle is determined by the value /V_{m} and this point leads to the fact that there is no switching frequency parameter in the conventional averaged model. Therefore, this conventional averaged model cannot be used to analyze the influence of the switching frequency on the lowfrequency oscillation in the voltagecontrolled buckboost converter.
In [17, 18], the duty cycle can be modeled by another method, which contains the switching frequency. For brevity to model the duty cycle , (4.1) is rewritten as follows: where, ^{T}, T denotes the transpose of the matrix, is the coefficient constant matrix of x, is the coefficient constant matrix of , is constant matrix, and is the coefficient constant matrix of . Their expressions are derived as follows:
According to [17, 18], the duty cycle can be described as follows: where K = .
By solving (4.4), the following equation can be obtained: where .
Thus, the duty cycle is From (4.6), it is easy to see that the switching frequency is included apparently. Substituting (4.6) into (4.1), the improved averaged model of the system can be derived, where Since contains the parameter a, which contains the switching frequency f. Therefore, the improved averaged model, that is (4.7), depends on switching frequency f. Furthermore, the stability and the bifurcation type of (4.7) can be identified by observing the calculated eigenvalues of its Jacobian matrix at equilibrium point. The equilibrium point of (4.7) is as follows: Note that , , , and are the steady state value of , , , and , respectively. From (4.9)–(4.12), it is found that the steady state values , , and do not depend on the switching frequency. However, the steady state value contains the switching frequency parameter, and it leads its value to be changed with the switching frequency changing.
Additionally, since the CCM operation in the voltagecontrolled buckboost converter is only concerned in this paper, the duty cycle constraint must be considered. According to [1], the condition for CCM operation is as follows:
So, the duty cycle constraint is as follows:
Furthermore, substituting (4.12) into (4.14), the switching frequency under CCM operation must satisfy the following inequality:
Also, the Jacobian matrix A_{ga} for (4.7) at its equilibrium point can be calculated as follows: where
According to [13], we know that if all the eigenvalues of Jacobian matrix lay in the left of the complex plane, the system is in stable operation. But, if there is a pair of complex eigenvalues across the imaginary axis to the right of the complex plane, it implies that Hopf bifurcation occurs in the system.
5. Influence Analysis
The circuit parameters are shown in Section 3. From (4.15), the switching frequency must be larger than 2.076 kHz to maintain the voltagecontrolled buckboost converter operating in CCM operation. Based on (4.16), the eigenvalues at the different switching frequency are calculated and noted down in Table 1. It is found that the system is in stable operation when f ≥ 14.8 kHz since all the eigenvalues lay in the left of the complex plane. Therefore, the voltagecontrolled buckboost converter must be in stable operation when f = 20 kHz, which has already been shown in Figure 3.

But, when the switching frequency is equal to 14.7 kHz, that is, f = 14.7 kHz, Hopf bifurcation occurs since there is a pair of complex eigenvalues across the imaginary axis to the right of the complex plane. Therefore, the system will operate in unstable operation. However, due to the topology of voltagecontrolled buckboost converter and the characteristic of the diode, the inductor current cannot also be enlarged on and on. Thus, the output voltage cannot also be enlarged on and on. Finally, the lowfrequency oscillation is formed. Therefore, the voltagecontrolled buckboost converter must be in lowfrequency oscillation operation when f = 4 kHz, which has already been shown in Figure 4.
Additionally, by noting the bifurcation points at the different parameter spaces, the stable boundaries can also be obtained and shown in Figures 7 and 8. It is found that the results between the theoretical analysis and MATLAB/Simulink simulations are in good agreement with each other. So, it is effective to establish the improved averaged model to analyze the influence of switching frequency on the lowfrequency oscillation in the voltagecontrolled buckboost converter.
6. Circuit Experiment
In order to confirm the influence of the switching frequency on the lowfrequency oscillation in the voltagecontrolled buckboost converter and corresponding theoretical analysis, the circuit of the voltagecontrolled buckboost converter is designed and its full schematic diagram with detailed specifications is depicted in Figure 9. In our experiment, the voltage probe Agilent 10074C is used to detect the output voltage , the current probe Tektronix A622 is used to detect the inductor current i_{L} and the digital oscilloscope Agilent 54622D is employed to capture the measured waveforms from the probes. Moreover, the switch is realized by IRFP460, the diode is realized by MUR1560, the amplifiers AM_{1} and AM_{2} are realized by LF356, and the comparator COM is realized by LM311. Additionally, the photocoupler TLP250 should be inserted for driving the switch IRFP460 since the ground of IRFP460 is floating. Additionally, in our experiment, it is also noted that (1) = 15 V, V_{D} = 18 V, R_{T}_{1} = 1.5 k, R_{T}_{2} = 268 , R_{T}_{3} = 510 , R_{D} = 510 , and other circuit parameters’ value are shown in Section 3;(2)there are two types of ground in the TLP250. The first is , which is the same as LM311 and LF356; however, the second is , which is different from and it is essential to remain isolated.
As calculated in Section 5, the voltagecontrolled buckboost converter is in stable operation when f ≥ 14.8 kHz. Otherwise, the system will operate in lowfrequency oscillation. Figure 10 shows the experimental results for f = 20 kHz, which is above the critical point. It is obvious that the system is in stable operation.
However, when we choose the switching frequency equal to 4 kHz, that is, f = 4 kHz, the voltagecontrolled buckboost converter really operates in lowfrequency oscillation operation, which is shown in Figure 11. Furthermore, comparing the circuit experimental results (Figures 10 and 11) with the simulation results (Figures 3 and 4), it is found that they are in good agreement with each other qualitatively. The discrepancy is mainly caused by the fact that all the circuit components are considered as ideal in simulation.
7. Conclusion
Based on the established improved averaged model, the influence of switching frequency on the lowfrequency oscillation in the voltagecontrolled buckboost converter is analyzed in this paper. The MATLAB/Simulink simulation results, theoretical results, and circuit experimental results described that the switching frequency has an important influence on the lowfrequency oscillation in the voltagecontrolled buckboost converter, that is, the lowfrequency oscillation is easy to occur when the switching frequency is low. Additionally, by comparing the conventional averaged model, the improved averaged model is an effective model to analyze the dynamical behaviors of the voltagecontrolled buckboost converter under different switching frequency.
Acknowledgments
This paper was supported by National Natural Science Foundation of China (Grant no. 51007068), Specialized Research Fund for the Doctoral Program of Higher Education (Grant no. 20100201120028), the Fundamental Research Funds for the Central Universities, and the State Key Laboratory of Electrical Insulation and Power Equipment (Grant no. EIPE10303).
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Copyright
Copyright © 2011 Faqiang Wang and Xikui Ma. 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.