System modeling and identification of a balance type checkweigher compensated by voice coil actuator

Abstract

The aim of this article is to investigate the characteristics of checkweigher which consists of two parts: electrical part (voice coil actuator) and mechanical part (lever-pivot mechanism). Its integrated weighing system simplified m, c, and k model, and system identification is performed through comparison of experimental results and simulated results by Simulink. m and k are attributed to the mechanical part and c is mainly due to the electromagnetic damping of voice coil actuator. Even with a determined voice coil actuator, the damping effect can be adjusted by the relocation of voice coil actuator to improve the performance of checkweigher. The validity of the simplified model is verified by comparing simulation and experimental results.

Keywords

Checkweigher balance type system identification magnetic damping voice coil actuator

Introduction

Weighing technology has been essential for manufacturing of standardized packed products in the electronic, food, and pharmacy industry. Since the industrial era, there have been new ways to measure mass which started from spring scales to electronic systems for more accurate and faster performance. A checkweigher is a system weighing items as they pass through a production line, additionally classifying objects by preset weight zones, and ejecting or sorting things based on classification. Because the in-motion products must be measured during a short time while they are traveling over the weighing spot, many troubles are caused due to vibration and inconsistent measuring timing. Along with increasing application of checkweighers, dynamic weighing technology was adopted to improve its performance of productivity and accuracy.

Generally, two types of measurement system associated with checkweigher are deflection and balancing type. In the load cell system based on deflection type, the relationship of elastic deformation and spring constant is used to measure a wide range of mass. The deflection type is simple in mechanism and fast in speed but less accurate. On the contrary, the balancing type in which an actuator generates a counter force to keep a pivoted lever balanced against a loaded mass has the advantage of high accuracy but less speed. Voice coil actuators (VCAs) are used due to its fast response and linear motion.¹ VCAs are used due to its fast response and linear motion.^2,3 Through measurement of current flow in the VCA, both compensation force and the weight force are determined.⁴

Many research efforts have been devoted to the estimation of weight and studied about removing noise and modeling spring, mass, and damper on dynamic weighing.^5,6 The effect of the sensor in different locations on the ability of dynamic weighing was investigated.⁷

This research focuses on developing an integrated model of mechanical part and electrical part and simplifying it as an m, c, and k model. To improve its performance, it is necessary to identify the system parameters and based on the system model, the effect of each parameter is examined.

Structure of a balanced type checkweigher

Configuration of measurement system

Figure 1 shows a scheme of a balanced type checkweigher which is composed of the lever mechanism, VCA, laser displacement sensor, conveyor, and balancing compensation controller. The lever mechanism includes such elaborate parts as hinge and pivot to make a large displacement even for a tiny mass loaded on the weighing pan. The VCA is controlled to compensate a gap from the balanced position caused by a mass.

Figure 1.

Scheme of checkweigher system.

Measuring principle

A mass loaded on the weighing pan causes a small clockwise rotation of the lever around the pivot, which results in a large displacement of the measuring spot, measured by a laser displacement sensor. Then the VCA is controlled to compensate the displacement so that the lever returns to the balanced position with zero displacement. During compensation, a current depending on the displacement is flown through the coil of VCA to generate a corresponding Lorentz force, which is proportionally related to the weight of the mass. Finally, an unknown mass can be estimated from the current which is detected by a resistor sensor. The important things are how fast and how accurately it is measured. They are the fundamental characteristics for the performance of evaluating weighing systems.

System modeling and simulation model

System modeling

The checkweigher system needs to be modeled and identified to investigate the performance. It is composed of two units: one is a mechanical unit by which displacement is generated and amplified responding to a loaded mass and the other is an electrical unit of VCA which compensates a gap displacement. Its dynamic model is simplified as shown in Figure 2 where a hinge is modeled as a spring (K), electromagnetic damping (c), and Lorentz force (F_VCA) are generated by the VCA.

Figure 2.

Motion model of the weighing system in a checkweigher: (a) rotational motion model about a pivot, (b) free body diagram, and (c) rectilinear motion model.

Electrical modeling of VCA

The electric model of VCA can be expressed as equation (1)³

V = L \frac{di}{dt} + Ri + k_{b} \overset{\cdot}{x}

(1)

Here $k_{b} \overset{\cdot}{x}$ is back electromotive force, which is dependent on the bobbin velocity, and L, R, and k_b, are inductance, coil resistance, and back electromotive force constant, respectively. Figure 3(a) shows an equivalent circuit of VCA composed of inductor and resistor.

Figure 3.

An equivalent circuit of a voice coil actuator.

Force–current relationship of VCA

To investigate the relationship between current and force of the VCA, $F_{VCA} = k_{f} \cdot i$ , F_VCA is measured through load cell as five levels of current (mA) are input to the VCA. The experimental results are shown in Figure 4.

Figure 4.

Force and current relation of voice coil actuator.

From the linear regression analysis, F_VCA has a linear relationship with current where k_f = 28.5 N/A. F_VCA is different according to the position of bobbin from the center of coil length even under the same current. Figure 5 shows the experiment results of F_VCA depending on the location of bobbin. It means that the proper operating region is limited to ±0.5 mm from the center.

Figure 5.

Variation of F_VCA according to bobbin displacement from the center: (a) bobbin displacement and (b) force variation.

Mechanical modeling of lever motion

The lever mechanism is initally condition with x = 0, m = 0, and F_VCA = 0, M₀L₂ = M_cL₁, where M_c is conveyor mass and M₀ is a required counter mass including lever mass. Setting M_c = 4.0 kg, L₁ = 3.5 mm, L₂ = 97.7 mm, then M₀ is calculated as 0.15 kg.

As an object (m) is loaded on the weighing pan, a balancing control starts. The force and moment equilibrium are expressed in equations (2) and (3) based on the free body diagram depicted in Figure 2(b)

F_{P} = (m + M_{c} + M_{0}) g + kx + c \overset{\cdot}{x} + F_{VCA}

(2)

M_{P} = mg \cdot L_{1} - (c \overset{\cdot}{x} + kx + F_{VCA}) L_{2}

(3)

The rotational motion of lever is described as follows

M_{P} = I \cdot \overset{\cdot\cdot}{θ}

(4)

where the inertia of lever $I = (m + M_{c}) L_{1}^{2} + M_{0} L_{2}^{2}$ is due to object, conveyor, and lever.

Substituting M_P and I in equation (4)

- (kx + c \overset{\cdot}{x} + F_{VCA}) L_{2} + mg L_{1} = {(m + M_{c}) L_{1}^{2} + M_{0} L_{2}^{2}} \overset{\cdot\cdot}{θ}

(5)

Since the rotation of movement of lever is too small, $x = L_{2} \sin θ \approx L_{2} θ$ $(for θ << 1)$ . The equation of motion (equation (5)) is converted into the form of rectilinear motion

- (kx + c \overset{\cdot}{x} + F_{VCA}) L_{2} + mg L_{1} = {(m + M_{c}) L_{1}^{2} + M_{0} L_{2}^{2}} \frac{\overset{\cdot\cdot}{x}}{L_{2}}

(6)

Thus, as depicted in Figure 2(c)

M_{e} \overset{\cdot\cdot}{x} + c \overset{\cdot}{x} + kx = mg \frac{L_{1}}{L_{2}} + F_{VCA}

(7)

where $M_{e} = {(m + M_{c}) (L_{1} / L_{2})^{2} + M_{0}}$ is the equivalent mass in the rectilinear equation.

Simulation model

To investigate characteristics and performance of the weighing system, its dynamic properties of M_e, c, and k as depicted in Figure 2(c) should be identified through comparison of simulation and experimental results. Thus, each simulation model is induced through the Laplace transform of the governing equation of electrical and mechanical models.

VCA actuation model

Equation (1) is transformed into equation (8)

V (s) = I (s) \cdot R + L \cdot sI (s) + k_{b} \cdot \overset{\cdot}{x} (s)

(8)

Electrical specification about VCA is L = 0.0245 H, R = 28.9 Ω, k_f = 28.5 N/A, and k_b = 28.5 V s/m.

Lever motion model

Equation (7) is transformed into equation (9)

M_{e} s^{2} \cdot x (s) + cs \cdot x (s) + k \cdot x (s) = mg \frac{L_{1}}{L_{2}} + F_{VCA}

(9)

Simulink model

Combining equations (8) and (9), a simulation model of the weighing system is represented by a Simulink program, as shown in Figure 6.

Figure 6.

Simulink model of weighing system.

Experiment setup

Figure 7 shows a photograph of the measurement system setup. A laser displacement sensor is used to detect lever movement. A VCA is used to compensate a deflection gap generated by lever movement. The current through VCA coil generating Lorentz force is measured by a resistor sensor. NI VirtualBench is used to generate step input current.

Figure 7.

Experimental setup.

Estimation of spring constant

To investigate the spring constant (K), experiments are conducted to obtain displacement with respect to five different weights. The force of each weight loaded on the weighing pan is converted into equivalent force at P_A. The displacement at P_A is measured by laser displacement sensor. Based on the experimental results listed in Table 1, a linear relationship is shown in Figure 8 and K is calculated as 1453 N/m through regression analysis.

Table 1.

Experimental results of weights versus displacement.

Mass (g)	Force at P_B (N)	Equivalent force at P_A (N)	Displacement at P_A (mm)
100	0.981	0.032	0.024
250	2.451	0.080	0.060
500	4.903	0.160	0.119
1000	9.806	0.319	0.241
2000	19.613	0.638	0.483

Figure 8.

Relation between force and displacement.

Effect of back electromotive force of VCA

The effect of back electromotive force (BEMF) k_b in Simulink model needs to be examined. Figure 9 shows how fast the current flows through the VCA coil as a voltage is applied to VCA by considering k_b as 28.5 and k_b as 0. k_b tends to hinder the current flow resulting in slow response.

Figure 9.

Effect of k_b on current flow.

Estimation of damping coefficient

Setting m = 0 in equation (9), a step value of F_VCA is applied to get a step response because a step voltage can be easily and precisely input to VCA through NI Virtual Bench by LabVIEW algorithm. M_e is already determined as 0.155 kg in section “Mechanical modeling of lever motion.”

With the previously identified parameters, M_e = 0.155 kg and K = 1453 N/m, the damping coefficient can be identified through comparison between the simulated response to a step F_VCA and the corresponding experimental response. With a step input of 3 mA to VCA, the measured step response seems quite overdamped, as shown in Figure 10. In order to identify the damping coefficient, simulations are repeated with several values of 16.5, 26.5, and 36.5 and the results are displayed together in Figure 10. From comparison with the experimental data, the best estimated damping coefficient is 26.5 N s/mm, which corresponds to damping ratio of 0.89.

Figure 10.

Identification of damping coefficients for a step input of 3 mA.

Figure 11 shows an improper step response which goes beyond the proper operating region (±0.5 mm) of VCA and the real damping effect lessens. Thus, considering less step input of 3 mA has good similarity with the simulation results.

Figure 11.

Improper step response for a large input as much as 30 mA.

Effect of relocation of VCA

Under the condition of a determined VCA, relocation of VCA could be an available way to reduce the damping coefficient of the overdamped system as described in section “Estimation of damping coefficient.” To examine the effect of VCA relocation (from L₂ to L₃), simulation is carried out for two locations, L₃ = 71.8 and 89.8 mm (Figure 12). As shown in Figure 13, both simulation results correspond to the less damping ratios, that is, 0.68 and 0.78, respectively, compared to the actual response at L₂ = 97.7 mm.

Figure 12.

Partly modification of Simulink model for investigating the effect of relocation of VCA.

Figure 13.

Response of relocation of VCA.

Conclusion

For a balanced type weighing system by VCA, system modeling and identification are presented and validated with simulation and experiment. The rotational motion of lever is converted into the rectilinear motion with M_e, c, and K. Based on this model, system identification of checkweigher can be carried out at an early stage of development. The new findings are as follows:

The system parameters are identified as M_e = 0.155 kg, K = 1453 N/m, and c = 26.5 N s/mm (or damping ratio = 0.89) resulting in an overdamped system.

Even in the case of VCA given, adjusting the position of VCA from the pivot can keep the system under proper damping. The closer to the pivot is the position of VCA, the less is the damping.

The stable operating range of VCA used in this research is ±0.5 mm beyond which experimental and simulated results show no conformity.

Footnotes

Handling Editor: James Baldwin

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iD

Hwa Young Kim

References

Glaser

Borys

Precision mass measurements. Rep Prog Phys 2009; 72: 126101.

Schmidt

Hausotte

Gerhardt

, et al. Investigations and calculations into decreasing the uncertainty of a nanopositioning and nanomeasuring machine (NPM-Machine). Meas Sci Technol 2007; 18: 482–486.

Hwang

Kwak

Jung

, et al. Minimization of modeling error of the linear motion system with voice coil actuator. Int J Control Autom 2008; 6: 54–61.

Marangoni

Rahneberg

Hilbrunner

, et al. Analysis of weighing cells based on the principle of electromagnetic force compensation. Meas Sci Technol 2017; 28: 075101.

Yamakawa

Yamazaki

Mathematical model of checkweigher with electromagnetic force balance. Acta IMEKO 2014; 3: 9–13.

Yamakawa

Yamazaki

Tamura

, et al. Dynamic behaviors of a checkweigher with electromagnetic force compensation. In: XIX IMEKO World Congress, Lisbon, Portugal, 6–11 September 2009, pp.208–211.

Qin

Lin

Cao

, et al. Effects of sensor location on dynamic load estimation in weigh-in-motion system. Sensors 2018; 18: 3044.