Digital Speed Control of DC Motor Based on Speed Estimation Method

Ohishi, Kiyoshi; Ohnishi, Kouhei; Miyachi, Kunio

doi:10.9746/sicetr1965.21.1217

Cited by 35 publications

(49 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Disturbance observer (DOB) approach [2][3][4][5][6][7][8][9] as a tool for disturbance attenuation has been widely employed in the industry. Versatility of DOB comes from, without doubt, its simplicity and powerful ability to attenuate disturbances and compensate plant uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Disturbance observer for non-minimum phase linear systems

Shim

Son

2010

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

Disturbance observer (DOB) approach has been widely employed in the industry thanks to its powerful ability to attenuate disturbances and compensate plant uncertainties. Motivated by the fact that the application of the DOB approach has been limited to minimum phase systems, we propose a new DOB configuration for non-minimum phase systems. Rigorous analysis for robust stability and performance recovery is presented in terms of a new filter Θ (s). By restricting the plant uncertainty to a multiplicative perturbation, we also present a systematic design methodology for the filter Θ (s) by virtue of the H ∞ synthesis technique. An illustrative example of autopilot design is presented to show the effectiveness of the proposed method for which it is not easy to design H ∞ controller to achieve some control goals. The simulation results show that the response of the perturbed system in the presence of disturbance can be recovered to the nominal system response in the absence of disturbance.

show abstract

Section: Introductionmentioning

confidence: 99%

Disturbance observer for non-minimum phase linear systems

Shim

Son

2010

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

show abstract

“…Next, the disturbance observer is implemented in the generator to suppress disturbances which act on the generator side (23) (24) . The wave system considering a spatial disturbance is derived by taking the limit of the number of mass in the multi-mass system to infinity.…”

Section: Modeling Of Wave System Considering Spatial Disturbancementioning

confidence: 99%

Spatial Disturbance Suppression of a Flexible System Based on Wave Model

Inoue

Katsura

2018

IEEJ Journal IA

View full text Add to dashboard Cite

Currently, there is a need for precise motion control of industrial machines. For precise motion, it is important to keep the motion robust against disturbances such as gravity or reaction force from the environment. Industrial machines include flexible components such as gears and couplings, and they are modeled as a resonant system. Models expressing resonant systems are classified into lumped-parameter model and distributed-parameter model. Conventionally, the control theory based on the lumped-parameter model has been widely researched because that model is easy to deal with. However, the position which a disturbance acts on is limited to the generator or the lumped inertia of the load in these methods. Therefore, there is a danger that the disturbance suppression performance may deteriorate in the case that a distributed disturbance acts on the load. Here, the distributed-parameter model considering the position which a disturbance acts on, is proposed based on the wave equation. Wave-based modeling can consider the spatial dynamics of a disturbance. As a result, conventional disturbance suppression control is extended for the spatial dynamics.

show abstract

“…However, the estimated uncertainty ( 3 x ) using the large observer gain, would not be helpful for the feedforward compensation if the actuator has uncertain nonlinearities such as backlash and delay. In order to avoid undesirable vibrations owing to 3 x , the estimations of 2 x and 3 x need to be carried out separately with different gains. The next subsection proposes a dual PIO-based control method.…”

Section: Assumptionmentioning

confidence: 99%

“…In order to cope with adverse effects of the uncertainties, efficient controller design has been a central issue in control society [1,2]. As a tool for disturbance attenuation, disturbance observerbased control (DOBC) has been widely employed because of its powerful ability to attenuate disturbances and compensate plant uncertainties [3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Robust Position Control of One DOF Mechanical Systems Using Dual PIOs Without Velocity Measurement

Han¹,

Lee²,

Yook³

et al. 2017

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-This paper presents a robust position controller for a one degree-of-freedom (DOF) mechanical system using only position measurement. In order to alleviate the performance degradation owing to various uncertainties, a two-stage design method is studied by employing a proportional integral observer (PIO). In the first stage, a baseline backstepping controller is designed for a nominal system without accounting for uncertainties. The PIO is developed for estimating both the velocity information for the backstepping controller and an equivalent input disturbance for a feedforward compensation using the estimated uncertainty. It is shown that the estimation errors with the proposed PIO can be made arbitrarily small in a finite time. If the system suffers from undesirable actuator nonlinearities, however, it might be necessary to estimate the velocity and the disturbance with different rates of convergence. The proposed method combines the predesigned backstepping controller and dual PIOs to reduce mechanical vibrations as well as steady-state errors. The performance of the proposed method is tested through comparative computer simulations and experiments using a laboratory prototype.

show abstract

Digital Speed Control of DC Motor Based on Speed Estimation Method

Cited by 35 publications

References 2 publications

Disturbance observer for non-minimum phase linear systems

Disturbance observer for non-minimum phase linear systems

Spatial Disturbance Suppression of a Flexible System Based on Wave Model

Robust Position Control of One DOF Mechanical Systems Using Dual PIOs Without Velocity Measurement

Contact Info

Product

Resources

About