Abstract

The efficiency of harvesting energy from a vibrating structure using a piezoelectric transducer and a simple analog circuit is investigated experimentally. This analog circuit was originally invented for a synchronized switch damping on inductor (SSDI) technique, which enhances the damping of mechanical vibration. In this study, the circuit is used to implement a synchronized switch harvesting on inductor (SSHI) technique. A multiple degree of freedom (MDOF) structure is excited by single sinusoidal forces at its resonant frequencies and by random forces. The piezoelectric transducer converts this mechanical energy into electrical energy which is harvested using a standard rectifier bridge circuit with and without our analog circuit. Experimental results show that our analog circuit makes it possible to harvest twice as much energy under both single sinusoidal and random vibration excitations.

1. Introduction

Energy harvesting techniques have been studied extensively in recent years. Energy harvesting is a process by which energy is captured and stored. Energy can be harvested from various power sources, including wind power, solar power, ocean tides, heart, magnetic fields, and structural vibrations. We focused on the vibration energy of a structure, using the piezoelectric effect to convert structural vibration energy into electrical energy. There is substantial research on this technique, as reviewed by Sodano et al. [1]. Lesieutre et al. [2] addressed the damping associated with energy harvesting from structural vibrations.

Badel et al. [35] proposed a synchronized switch harvesting on inductor (SSHI) technique to improve energy harvesting. SSHI is based on vibration suppression technique named synchronized switch damping on inductor (SSDI). Both SSHI and SSDI use a piezoelectric transducer attached to the structure and connected to an inductive circuit having an on-off switch [610]. The switch in the circuit is flipped at each extremum of displacement of the structure. A displacement sensor and a controller are needed to synchronize the switching commands with the mechanical vibration. In a self-powered system, these sensors and controllers need to be driven using a fraction of the harvested energy.

We previously invented an analog circuit that automatically performs switching without an external energy source [11]. We describe in this paper how this analog circuit enhances the energy harvesting performance when used with SSHI.

Although many studies [1214] have been conducted on SSHI, most of them are limited to the sinusoidal vibration of a single degree of freedom (SDOF) structure. This paper focuses on the energy harvesting performance of our analog vibration suppression system for a multiple degree of freedom (MDOF) structure under various excitations. First, we describe the SSDI mechanism. Next, we describe our analog self-powered device. Finally, we present the experimental results demonstrating the energy harvesting performance of our device for an MDOF structure under sinusoidal and random vibration excitations.

2. SSDI and SSHI Systems

2.1. Original SSDI Technique

The SSDI mechanism is described in [610]. For simplicity, we consider the SDOF system shown in Figure 1. The system is composed of a mass, a structure, a piezoelectric transducer attached to the structure, and a switchable inductive circuit. The piezoelectric transducer is modeled by a voltage generator and a capacitor .

As shown in [8, 10, 15], the basic concept of the SSDI technique is to flip the switch from point B to point A at the moment when displacement or voltage reaches a maximum, as well as to flip the switch from point A to point B when or reaches a minimum. Figure 2 shows the vibration in . When the displacement of mass reaches a maximum at , the switch is flipped from point A to point B. Current starts flowing in the inductive circuit shown in Figure 1 and stops when the voltage reaches a positive value , owing to the inductor and diode B in the circuit. During the subsequent half cycle of mechanical vibration, as the displacement of mass reaches the minimum value, voltage changes from to . At time , the position of the switch is flipped from point B to point A, and the piezoelectric voltage changes from to .

This switching technique stores the electric charge in the piezoelectric transducer rather than allowing it to be dissipated, increasing the magnitude of and thus increasing the force generated by the piezoelectric transducer to suppress the vibration. Furthermore, this switching inverses the polarity of in synchronism with the mechanical vibration so that the vibration is effectively suppressed.

2.2. Analog Self-Powered SSDI

The original SSDI [8, 10, 15] needs external power for measurement, calculation, and switching. To eliminate the external power supply, we have invented a simple passive analog circuit that performs SSDI switching automatically, as shown in Table 1 and Figure 3.

Figure 3 shows our electric circuit for SSDI. When the voltage across the piezoelectric transducer passes the maximum and starts to decrease, the anode voltage of the programmable unijunction transistor is maintained at the peak by diode and capacitor . However, the gate voltage of decreases following the decrease in due to mechanical vibration. Therefore, is turned on and the charge stored in flows through thyristor as its gate current. The gate current turns on, and the charge stored in the capacitor of the piezoelectric transducer, , flows through the inductor. Because the thyristor prevents the electric current from flowing in the opposite direction, turning the thyristor on is equivalent to flipping the switch in Figure 1 to point A. When the value of reaches a minimum and starts to increase, is similarly turned on, and subsequently, is also turned on. This action is equivalent to flipping the switch in Figure 1 to point B.

In effect, this analog circuit flips the switch in Figure 1 to point A when is approximately at a maximum and flips the switch to point B when is approximately at a minimum. Therefore, this simple analog circuit performs the functions of a sensor, a controller, and a switch for SSDI.

2.3. Energy Harvesting with Original SSHI

An electric circuit consisting of a piezoelectric transducer connected to an energy harvester and a load resistance is shown in Figure 4(a). The energy harvester is composed of four diodes and a capacitor . This is a basic energy harvesting system with a piezoelectric transducer. A bridge circuit with four diodes rectifies the electrical energy from the piezoelectric transducer and stores it in capacitor .

Figure 4(b) shows a typical system for energy harvesting with SSHI. As shown in this figure, a switchable inductive circuit is connected to the system shown in Figure 4(a). SSHI tunes the switch in Figure 4(b) just as SSDI does. Because this switching increases the absolute value of , as mentioned, SSHI can effectively harvest energy. In Figure 2, the broken line shows the vibration in when some energy is harvested by SSHI, whereas the solid line shows the variation in when SSDI is used. The figure shows that when the absolute value of reaches the voltage of , the energy starts to flow into . has a large capacitance, causing to plateau.

2.4. Energy Harvesting with Analog Self-Powered SSDI

The SSDI technique is implemented as shown in Figure 5, by replacing the switchable inductive shunt circuit shown in Figure 1 with our analog circuit. Similarly, SSHI is implemented as shown in Figure 5 by replacing the switchable shunt circuit in Figure 4(b) by our analog circuit.

3. Experiment

3.1. Experimental Setup

Figures 6 and 7 show a view of the experimental system, which consists of two masses, a pantograph-type displacement-magnification mechanism, a piezoelectric transducer (PSt 1000/10/200-VS18, Piezomechanik GmbH), two cantilevered beams, a spring, a vibration shaker, and a platform. The displacement-magnification mechanism is attached to the upper beam, and upper side of the platform is used to accommodate the small elongation of the piezoelectric transducer in response to the large amplitude of vibration. The natural frequencies of the first and second vibration modes at a constant electric charge are 20.3 and 36.6 Hz, respectively [16].

The experiment is performed under three types of vibration excitations: a sinusoidal vibration excitation at the first mode resonant frequency, a sinusoidal vibration excitation at the second mode resonant frequency, and a random vibration excitation. We investigated the performance in harvesting energy using our system shown in Figure 5 for various values of load resistance .

3.2. Experimental Results with Sinusoidal Excitation

Figure 8(a) shows the steady-state variations in displacement of the upper mass 1, the voltage of the piezoelectric transducer , and the harvested voltage under a sinusoidal excitation at the first mode resonant frequency. In this case, the value of is very large. At each extremum of displacement, the polarity of voltage reverses. This voltage behavior is a typical feature of SSHI. Figure 8(b) shows a magnified view of Figure 8(a). When the absolute value of is increased to a certain value, energy starts flowing into capacitor , and as a result, stays almost constant, making a plateau in the waveform. The difference between the plateau voltage and voltage is attributed to the forward voltage of the diodes in the rectifier circuit. Figure 8(b) shows that the difference is 1.2 V, which is consistent with the forward voltage of 0.6 V for each diode.

Figure 9(a) shows a comparison of the normalized harvested energy for various values of load resistance under a sinusoidal excitation at the first and second mode resonant frequencies. The energy dissipated by the load resistance is influenced by the value of resistance . To optimize the harvested power, we apply various load resistances in the electric circuit. The horizontal axis represents the load resistance, and the vertical axis represents the harvested power divided by the mean square of displacement of mass 1, with and without our analog circuit. These figures indicate that our system significantly increases the energy harvested from the MDOF structure under sinusoidal vibrations. Although the amount of energy harvested depends on the value of the electric load , the amount is drastically increased using our circuit under vibration excitation at both the first and the second mode resonant frequencies.

3.3. Experimental Results with Random Excitation

We also carried out experiments using random excitation. The vibration shaker connected the upper cantilever through the load cell. A function generator creates an input voltage wave and sends it to vibration shaker. The PSD of the random excitation force is constant over the frequency range from 10 Hz to 50 Hz.

Figure 9(b) shows the normalized harvested energy for various values of load resistances under random excitation. The horizontal axis is the load resistance, and the vertical axis is the harvested power divided by the mean square of displacement of mass 1, with and without our analog circuit. This figure indicates that our system significantly increases the energy harvested from the MDOF structure under random vibrations. Although the amount of energy harvested depends on the value of the electric load , the amount is drastically increased using our circuit under random excitation.

The harvested energy can be increased by a factor of at least 2.3 using our simple analog circuit not only under sinusoidal vibration excitation but also under random vibration excitation.

4. Conclusion

We proposed a simple analog circuit to implement SSHI for harvesting energy from structural vibrations using piezoelectric transducers, and we investigated the resulting performance. Experiments were performed using an MDOF structure under sinusoidal vibration excitation at resonance frequencies and under random vibration excitation. Experimental results show that connecting our simple analog circuit to the standard circuit more than doubles the amount of energy harvested under both single sinusoidal vibration excitation and random vibration excitation.

Acknowledgment

This research was supported by a Grant-in-Aid for Scientific Research (B) (no. 20360386) from the Japan Society for Promotion of Science.