Two Approaches to Speed Control for Multi-Mass System With Variable Mechanical Parameters

Brock, Stefan; Łuczak, Dominik; Nowopolski, Krzysztof; Pajchrowski, Tomasz; Zawirski, Krzysztof

doi:10.1109/tie.2016.2598299

Cited by 54 publications

(44 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such a system is shown in Figure 1. Nonlinear controllers have been proposed to control drive systems with elastic couplings, such as a sliding mode control [14][15][16][17], neural control or fuzzy sliding mode control [18,19], flatness based control [20,21], a control method based on identification allowing for robust H∞ [22], and a predictive controller with a state space model [23]. However, for a high-quality control system, these methods require knowing exactly the parameter values of the control object.…”

Section: The Nonlinear Model Of the Drive System With Elastic Couplingsmentioning

confidence: 99%

“…The functions in Equations (18) and (19) are chosen in order to satisfy the relationship: 18, combined with the tuning algorithm, Equation (19), is named the adaptive controller of the major functions.…”

Section: Setting Up the Algorithm And Running The Experimental Systemmentioning

confidence: 99%

“…This state vector consists of three components: ω 2 ,m y ,ω 1 . 3The adaptive control block is built based on parameter adjustment principles of the adaptive major functions controller (according to Equations (18) and (19)) so that the dynamic characteristic of the control object is close to that of the reference model and the effects of the nonlinear elements are minimal. In the adaptive algorithms shown in Equations (18) and (19), the state vector of the control object is replaced by the state vector of the Luenberger observer.…”

Section: Setting Up the Algorithm And Running The Experimental Systemmentioning

confidence: 99%

“…We set the adaptive algorithm with the major functions based on Equations (18) and (19) using a simplified approach of ignoring all major functions and considering only the largest order function f pr (w r ), which is the exponential equation of each state variable x r . For example, the slit function refers to the elastic moments (m y ) and the friction function refers to the speed of the second disk block (ω 2 ).…”

Section: Setting Up the Algorithm And Running The Experimental Systemmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Controller of the Major Functions for Controlling a Drive System with Elastic Couplings

Anh

Trong

2018

Energies

View full text Add to dashboard Cite

In any drive system, there are always couplings between the motor and the load. Since the hardness of these couplings is finite, they have elastic properties, causing unwanted vibration and negatively affecting system quality. When the couplings are springs with nonlinear characteristics, control is particularly difficult because it is very difficult or impossible to define the parameters of the controlled object. To solve these difficulties, this article proposes an adaptive controller of the major functions for controlling a drive system with nonlinear elastic couplings of unidentified parameters. For the proposed control system, we measure the response speed of the object, use a Luenberger observer to estimate the state variables of the system, and use an adaptive controller to control the system. The experimental results demonstrate that the control object can be controlled without knowing the parameters: the control quality of the system is very good, close to that of a system with a hard coupling, there is no vibration or overshoot, and the transition time is small.

show abstract

Section: The Nonlinear Model Of the Drive System With Elastic Couplingsmentioning

confidence: 99%

Section: Setting Up the Algorithm And Running The Experimental Systemmentioning

confidence: 99%

Section: Setting Up the Algorithm And Running The Experimental Systemmentioning

confidence: 99%

Section: Setting Up the Algorithm And Running The Experimental Systemmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Controller of the Major Functions for Controlling a Drive System with Elastic Couplings

Anh

Trong

2018

Energies

View full text Add to dashboard Cite

show abstract

“…Some other control systems use adaptive control. Such methods as fuzzy sliding mode control and neural control [3,7], as well as vortex control [14] can be distinguished here, this group of methods ensures good oscillation attenuation and it is additionally characterised by high resistance in the case of wrongly determined drive parameters. Another approach to adaptive is presented in [8,18], here a superior system was used to retune controller setting, it continuously reproduces the unknown and variable parameter.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

Serkies¹

2017

EiN

View full text Add to dashboard Cite

Article citation info: (*) Tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl Piotr SerkieSComparison of the Control methods of eleCtriCal drives with an elastiC Coupling allowing to limit the torsional torque amplitude porównanie metod sterowania napędem elektryCznym z połąCzeniem sprężystym pozwalająCe na ograniCzenie amplitudy momentu skrętnego* IntroductionModern power transmission systems are expected to show higher dynamics while preserving high precision and reliability. Such requirements results in an increasingly higher use of the properties and strength of construction materials. Therefore, in a growing number of drives one can observe finite stiffness of couplings between a drive and machinery. This problem was initially considered in the heavy industry in various types of machines, such as: rolling mills [13], conveyor belts [10] Various methods are used in the control of vehicle speed or the location of drives with an elastic coupling, starting with simple ones based on a PI controller tuned with account for coupling elasticity [22], to the introduction of additional feedbacks from one to a few state variables to such a controller, a detailed overview of such solutions can be found in [17]. Some other control systems use adaptive control. Such methods as fuzzy sliding mode control and neural control [3,7], as well as vortex control [14] can be distinguished here, this group of methods ensures good oscillation attenuation and it is additionally characterised by high resistance in the case of wrongly determined drive parameters. Another approach to adaptive is presented in [8,18], here a superior system was used to retune controller setting, it continuously reproduces the unknown and variable parameter. Yet another, not so common, is the sliding mode control [9].In the case drives with an elastic coupling, the major challenge faced by the control system is the attenuation of the oscillation of electro-mechanical state variables. However, another issue which appears in the discussed group of drives is the limitation of the torsional torque amplitude in such a way that the lives of mechanical couplings can be extended, which improves the reliability of the whole drive system. However, the above described methods do not allow to introduce the restriction of the values of state variables (torsional torque) in a simple way. The only restricted values is the set electromagnetic torque (control signal). In such systems the only way to limit the amplitude of internal state variables is weakening the dynamics of the whole system. Another approach which allows to introduce the value restrictions of a selected state variable is using the cascade control structure in which a separate, subordinate control loop is formed. Then it is possible to restrict such state variable [16]. One of the methods allowing to introduce the restrictions of the values of state variables is predictive control. This method allows to introduce limitations as early as the ...

show abstract

A novel wideband control scheme for uncertain multi-mass systems and its application to drivetrain benches

Sugiura,

Fang,

Liu

et al. 2024

ISA Transactions

View full text Add to dashboard Cite

Two Approaches to Speed Control for Multi-Mass System With Variable Mechanical Parameters

Cited by 54 publications

References 29 publications

Adaptive Controller of the Major Functions for Controlling a Drive System with Elastic Couplings

Adaptive Controller of the Major Functions for Controlling a Drive System with Elastic Couplings

Comparison of the control methods of electrical drives with an elastic coupling allowing to limit the torsional torque amplitude

A novel wideband control scheme for uncertain multi-mass systems and its application to drivetrain benches

Contact Info

Product

Resources

About