Vibration Suppression Controller of Multi-Mass Resonance System Using Fuzzy Controller

Ikeda, Hidehiro

doi:10.5772/intechopen.68319

Cited by 2 publications

(6 citation statements)

References 12 publications

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“…Similarly, several shafts and gears are approximated as a single torsional shaft. The typical two-mass model is depicted schematically in Figure 1 below [14][15][16][17].…”

Section: Description Of Two-mass Resonance Modelmentioning

confidence: 99%

“…The two-mass resonance system is simulated using the dc servo motor and a dc generator with a finite rigid coupling. The controller is realized using a digital signal processor that calculates the pulse-width modulation (PWM) signal to send to a four-quadrant dc chopper [17].…”

Section: Description Of Two-mass Resonance Modelmentioning

confidence: 99%

“…Figure 4 shows the apparatus for the two-mass resonance model that was used in the experimental setup. Figure 5 shows the experimental system configuration [17]. Table 1.…”

Section: Description Of Two-mass Resonance Modelmentioning

confidence: 99%

“…In this section, an off-line tuning method for the vibration suppression-type speed and current controller gains for the two-mass system is proposed based on the FRIT method; this method uses only single-shot experimental input-output data and does not use either the model parameters or the state equation of the two-mass resonance model. While most FRIT designs only use one state variable, this method uses specific multiple state variables to design the controller gains when using the FRIT method [6,7,[14][15][16]. Figure 14 shows a typical control system, in which G is the transfer function of the object to be controlled, r is the reference signal, r represents the controller gains, C(r) represents the controller, u is the control input parameter, and y is the output parameter.…”

Section: Controller Design Using Fictitious Reference Iterative Tuninmentioning

confidence: 99%

“…The design of the coefficient diagram of the control system is performed using a differential evolution (DE) procedure to obtain the optimal controller gains in a short time [11][12][13]. The second design method is a FRIT method, which is a PID controller design approach based on one-shot experimental data only and does not use the mathematical model of the object to be controlled [14][15][16]. The effectiveness of the two proposed design methods is confirmed using a combination of computer simulations and experiments.…”

Section: Introductionmentioning

confidence: 99%

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PID Controller Design Methods for Multi-Mass Resonance System

Ikeda¹

2018

PID Control for Industrial Processes

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Motor drive systems are indispensable for applications in the industrial field. High-speed and high-accuracy control is required for motor drive systems. However, solutions to meet these requirements can cause mechanical resonance vibrations to occur in the system as a result of miniaturization and system weight reduction. It is therefore necessary to model these systems as multi-mass resonance systems with multiple masses and finite rigid shafts, gears, and loads. In addition, vibration suppression control should be applied to these systems. This chapter provides two off-line tuning methods for a digital proportional-integral-derivative (PID)-type controller for a two-mass resonance system to suppress its mechanical resonance vibrations. These methods include a coefficient diagram method and a fictitious reference iterative tuning method. The former method uses a nominal mathematical model of the object while the latter method uses only the initial experimental data without use of the mathematical model. In this chapter, the two methods are compared. A controller is proposed that consists of a modified integralproportional derivative (I-PD) speed controller and a proportional-integral (PI) current controller, and requires no information about the load side state variables. Finally, the effectiveness of the proposed method is confirmed through computer simulations and experimental results.

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“…Similarly, several shafts and gears are approximated as a single torsional shaft. The typical two-mass model is depicted schematically in Figure 1 below [14][15][16][17].…”

Section: Description Of Two-mass Resonance Modelmentioning

confidence: 99%

Section: Description Of Two-mass Resonance Modelmentioning

confidence: 99%

“…Figure 4 shows the apparatus for the two-mass resonance model that was used in the experimental setup. Figure 5 shows the experimental system configuration [17]. Table 1.…”

Section: Description Of Two-mass Resonance Modelmentioning

confidence: 99%

Section: Controller Design Using Fictitious Reference Iterative Tuninmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PID Controller Design Methods for Multi-Mass Resonance System

Ikeda¹

2018

PID Control for Industrial Processes

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Development of an Automatic Elastic Torque Control System Based on a Two-Mass Electric Drive Coordinate Observer

et al. 2021

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Development of control system based on digital twins of physical processes is a promising area of research in the rolling industry. Closed-loop control systems are developed to control the coordinates of two-mass electromechanical systems in order to limit the dynamic loads on the equipment of main rolling lines. These control systems are based on observers (digital shadows) that indirectly detect (reconstruct) the roll speed and the elastic torque of the shaft (spindle) in real time. Notably, observers are required to work fast in order to reconstruct transients attributable to shock (impact) loads. Literature review shows that the known observers, which use complex algorithms to compute coordinates, do not respond fast enough. The paper analyzes the kinematic diagram of Mill 5000, a plate rolling mill. It presents oscillograms that prove that the elastic torque does oscillate as the rolls grip the strip dynamically. The authors hereof have developed an observer that reconstructs the coordinates of the uncontrolled mass (the shaft) and the spindle torque from the parameters of the controlled mass, namely the torque and speed of the motor. The paper further rationalizes an approach that consists of simulating the processes on a model to further directly configure them on the object. The authors analyze the transients of the reconstructed two-mass system coordinates, which are associated with the rolls gripping the strip. The paper compares data against oscillograms recorded on the mill itself. The accuracy is satisfactory. The proposed observer has been used to developed a three-loop automatic speed control system for the uncontrolled mass. Controller configurations are substantiated. The paper shows coordinates obtained by simulation modeling as functions of time. It further presents experiments run on Mill 5000; the conclusions are that the amplitude and oscillations of the elastic torque drop significantly. The paper concludes with recommendations on industrial adoption of the observer and the novel electric drive coordinate control system. Study presented herein substantiates and implements a concept of developing algorithms that solve specific problems and are readily implementable on the existing equipment without need for additional computing devices. The contribution of the paper consists of stating and solving the problem of developing and testing an automatic elastic torque control system for the shaft of a heavy-duty rolling mill. This system has been implemented in the form of algorithms that run in the software of the existing industrial controllers (PLCs). It is simple and performs well. It does not need additional sensors or computers to be implemented, nor does it rely on complex computational algorithms. Such algorithms are based on computational tables that require a priori data on numerous process parameters. In our literature review, we have not come across any industrial implementation of such algorithms on hot-rolling mills.

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Vibration Suppression Controller of Multi-Mass Resonance System Using Fuzzy Controller

Cited by 2 publications

References 12 publications

PID Controller Design Methods for Multi-Mass Resonance System

PID Controller Design Methods for Multi-Mass Resonance System

Development of an Automatic Elastic Torque Control System Based on a Two-Mass Electric Drive Coordinate Observer

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