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Paul, S. & Löfstrand, M. (2020). Discrete Time Sliding Mode Control of Milling Chatter. In: ICCSAMA 2019: Advanced Computational Methods for Knowledge Engineering. Springer-Verlag New York
Open this publication in new window or tab >>Discrete Time Sliding Mode Control of Milling Chatter
2020 (English)In: ICCSAMA 2019: Advanced Computational Methods for Knowledge Engineering, Springer-Verlag New York, 2020Chapter in book (Refereed)
Abstract [en]

The technique of mitigating chatter phenomenon in an effective manner is an important issue from the viewpoint of superior quality machining process with quality production. In this paper, an innovative solution to control chatter vibration actively in the milling process is presented. The mathematical modelling associated with the milling technique is presented in the primary phase of the paper. In this paper, an innovative technique of discrete time sliding mode control(DSMC) is blended with Type 2 fuzzy logic system. Superior mitigation of chatter is the outcome of developed active controller. The Lyapunov scheme is implemented to validate the stability criteria of the proposed controller. The embedded nonlinearity in the cutting forces and damper friction are compensated in an effective manner by the utilization of Type-2 fuzzy technique. The vibration attenuation ability of DSMC-Type-2 fuzzy (DSMC-T2) is compared with the Discrete time PID (D-PID) and DSMC-Type-1 fuzzy (DSMC-T1) for validating the effectiveness of the controller. Finally, the numerical analysis is carried out to validate that DSMC-T2 is superior to D-PID and DSMC-T1 in the minimization of the milling chatter.

Place, publisher, year, edition, pages
Springer-Verlag New York, 2020
Series
Advances in Intelligent Systems and Computing ; 1121
Keywords
Milling chatter, Type-2 fuzzy, Sliding mode control
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-76800 (URN)10.1007/978-3-030-38364-0_34 (DOI)978-3-030-38363-3 (ISBN)978-3-030-38364-0 (ISBN)
Note

6th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2019), Hanoi, Vietnam, December 19-20, 2019

Available from: 2019-09-26 Created: 2019-09-26 Last updated: 2020-01-23Bibliographically approved
Paul, S. & Morales-Menendez, R. (2019). Chatter Mitigation in Milling Process Using Discrete Time Sliding Mode Control with Type 2-Fuzzy Logic System. Applied Sciences: APPS, 9(20), Article ID 4380.
Open this publication in new window or tab >>Chatter Mitigation in Milling Process Using Discrete Time Sliding Mode Control with Type 2-Fuzzy Logic System
2019 (English)In: Applied Sciences: APPS, ISSN 1454-5101, E-ISSN 1454-5101, Vol. 9, no 20, article id 4380Article in journal (Refereed) Published
Abstract [en]

In order to achieve a high-quality machining process with superior productivity, it is very important to tackle the phenomenon of chatter in an effective manner. The problems like tool wear and improper surface finish affect the milling process and are caused by self-induced vibration termed as chatter. A strategy to control chatter vibration actively in the milling process is presented. The mathematical modeling of the process is carried out initially. In this paper, an innovative technique of discrete time sliding mode control (DSMC) is blended with the type-2 fuzzy logic system. The proposed active controller results in a significantly high mitigation of vibration. The DSMC is linked to the time-varying gain which is an innovative approach to mitigate chattering. The theorem is laid down which validates that the system states are bounded in the case of DSMC-type-2 fuzzy. Stability analysis is carried out using Lyapunov candidate. The nonlinearities linked with the cutting forces and damper friction are handled effectively by using the type-2 fuzzy logic system. The performance of the DSMC-type-2 fuzzy concept is compared with the discrete time PID (D-PID) and discrete time sliding mode control for validating the effectiveness of the controller. The better performance of DSMC-type-2 fuzzy over D-PID and DSMC-T1 fuzzy in the minimization of milling chatter are validated by a numerical analysis approach.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2019
Keywords
Sliding mode control, vibration control, fuzzy logic
National Category
Mechanical Engineering Control Engineering
Identifiers
urn:nbn:se:oru:diva-77448 (URN)10.3390/app9204380 (DOI)000496269400183 ()2-s2.0-85074215360 (Scopus ID)
Note

Funding Agency:

Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, NL, Mexico

Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-12-03Bibliographically approved
Paul, S., Yu, W. & Li, X. (2019). Discrete-time sliding mode for building structure bidirectional active vibration control. Transactions of the Institute of Measurement and Control, 41(2), 433-446
Open this publication in new window or tab >>Discrete-time sliding mode for building structure bidirectional active vibration control
2019 (English)In: Transactions of the Institute of Measurement and Control, ISSN 0142-3312, E-ISSN 1477-0369, Vol. 41, no 2, p. 433-446Article in journal (Refereed) Published
Abstract [en]

In terms of vibrations along bidirectional earthquake forces, several problems are faced when modelling and controlling the structure of a building, such as lateral-torsional vibration, uncertainties surrounding the rigidity and the difficulty of estimating damping forces.In this paper, we use a fuzzy logic model to identify and compensate the uncertainty which does not require an exact model of the building structure. To attenuate bidirectional vibration, a novel discrete-time sliding mode control is proposed. This sliding mode control has time-varying gain and is combined with fuzzy sliding mode control in order to reduce the chattering of the sliding mode control. We prove that the closed-loop system is uniformly stable using Lyapunov stability analysis. We compare our fuzzy sliding mode control with the traditional controllers: proportional?integral?derivative and sliding mode control. Experimental results show significant vibration attenuation with our fuzzy sliding mode control and horizontal-torsional actuators. The proposed control system is the most efficient at mitigating bidirectional and torsional vibrations.

Place, publisher, year, edition, pages
Sage Publications Ltd., 2019
Keywords
Active vibration control, sliding mode control, discrete-time
National Category
Engineering and Technology Control Engineering
Identifiers
urn:nbn:se:oru:diva-71777 (URN)10.1177/0142331218764581 (DOI)000456729000011 ()
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-06-18Bibliographically approved
Jafari, R., Razvarz, S., Gegov, A. & Paul, S. (2019). Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers. In: Lotfi, Ahmad; Bouchachia, Hamid; Gegov, Alexander; Langensiepen, Caroline; McGinnity, Martin (Ed.), Advances in Intelligent Systems and Computing: . Paper presented at UK Workshop on Computational Intelligence (UKCI), Nottingham, UK, September 5-7, 2018 (pp. 96-107). Springer, 840
Open this publication in new window or tab >>Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers
2019 (English)In: Advances in Intelligent Systems and Computing / [ed] Lotfi, Ahmad; Bouchachia, Hamid; Gegov, Alexander; Langensiepen, Caroline; McGinnity, Martin, Springer, 2019, Vol. 840, p. 96-107Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, the uncertainty property is represented by Z-number as the coefficients and variables of the fuzzy equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with uncertain parameters. Here, we use fuzzy equations as the models for the uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy equation. However, it is very difficult to obtain Z-number coefficients of the fuzzy equations.

Taking into consideration the modeling case at par with uncertain nonlinear systems, the implementation of neural network technique is contributed in the complex way of dealing the appropriate coefficients of the fuzzy equations. We use the neural network method to approximate Z-number coefficients of the fuzzy equations.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Fuzzy modeling, Z-number, Uncertain nonlinear system
National Category
Computational Mathematics Control Engineering
Identifiers
urn:nbn:se:oru:diva-71789 (URN)10.1007/978-3-319-97982-3_8 (DOI)2-s2.0-85052217113 (Scopus ID)
Conference
UK Workshop on Computational Intelligence (UKCI), Nottingham, UK, September 5-7, 2018
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-02-01Bibliographically approved
Jafari, R., Razvarz, S., Gegov, A., Paul, S. & Keshtkar, S. (2019). Fuzzy Sumudu Transform Approach to Solving Fuzzy Differential Equations With Z-Numbers. In: Mangey Ram (Ed.), Advanced Fuzzy Logic Approaches in Engineering Science: (pp. 18-48). Hershey, PA, USA: IGI Global
Open this publication in new window or tab >>Fuzzy Sumudu Transform Approach to Solving Fuzzy Differential Equations With Z-Numbers
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2019 (English)In: Advanced Fuzzy Logic Approaches in Engineering Science / [ed] Mangey Ram, Hershey, PA, USA: IGI Global , 2019, p. 18-48Chapter in book (Other academic)
Abstract [en]

Uncertain nonlinear systems can be modeled with fuzzy differential equations (FDEs) and the solutions of these equations are applied to analyze many engineering problems. However, it is very difficult to obtain solutions of FDEs. In this book chapter, the solutions of FDEs are approximated by utilizing the fuzzy Sumudu transform (FST) method. Here, the uncertainties are in the sense of fuzzy numbers and Z-numbers. Important theorems are laid down to illustrate the properties of FST. This new technique is compared with Average Euler method and Max-Min Euler method. The theoretical analysis and simulation results show that the FST method is effective in estimating the solutions of FDEs.

Place, publisher, year, edition, pages
Hershey, PA, USA: IGI Global, 2019
National Category
Engineering and Technology Computational Mathematics Mathematical Analysis
Identifiers
urn:nbn:se:oru:diva-71791 (URN)10.4018/978-1-5225-5709-8.ch002 (DOI)
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-25Bibliographically approved
Paul, S. & Löfstrand, M. (2019). Intelligent Fault Detection Scheme for Drilling Process. In: ICCMA 2019: Proceedings of the 2019 The 7th International Conference on Control, Mechatronics and Automation. Paper presented at 7th International Conference on Control, Mechatronics and Automation (ICCMA 2019), Delft, Netherlands, November 6-8, 2019.
Open this publication in new window or tab >>Intelligent Fault Detection Scheme for Drilling Process
2019 (English)In: ICCMA 2019: Proceedings of the 2019 The 7th International Conference on Control, Mechatronics and Automation, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Automatic fault detection system is an important aspect of industrial process and can contribute significantly for minimizing equipment downtime thus makingit a cost effective process. In this paper, an innovative model-based faultdetection (FD) system in combination with interval type-2 (IT2) Takagi-Sugeno(T-S) fuzzy system is developed for the detection of the faults in the drillbit of the drilling system. The proposed methodology validates the stabilityof the fault detection system in the presence of system uncertainties. Numerical analysis is carried out to prove the effectiveness of the theoretical approach. The effective methodology can be implemented in real time for detecting faults during downhole drilling operations.

National Category
Mechanical Engineering Control Engineering
Identifiers
urn:nbn:se:oru:diva-76793 (URN)
Conference
7th International Conference on Control, Mechatronics and Automation (ICCMA 2019), Delft, Netherlands, November 6-8, 2019
Available from: 2019-09-26 Created: 2019-09-26 Last updated: 2020-02-03Bibliographically approved
Paul, S., Yu, W. & Jafari, R. (2019). Stability analysis and bidirectional vibration control of structure. In: Babu K., Rao H., Amarnath Y. (Ed.), Emerging Trends in Civil Engineering: Select Proceedings of ICETCE 2018 (pp. 275-287). Springer
Open this publication in new window or tab >>Stability analysis and bidirectional vibration control of structure
2019 (English)In: Emerging Trends in Civil Engineering: Select Proceedings of ICETCE 2018 / [ed] Babu K., Rao H., Amarnath Y., Springer, 2019, p. 275-287Chapter in book (Refereed)
Abstract [en]

In the area of vibration control associated with structures, proportional-integral-derivative (PID) is considered to be an effective controller for the vibration attenuation scheme. Although the researchers prefer the use of PID controller but due to huge uncertainties in the structure, the control actions are not good. This paper depicts the application of combined PID control with Type-1 Fuzzy system for the compensation of the involved uncertainties. The main role of the Type-1 Fuzzy logic model is the identification of the uncertainties in the modeling equation and also to compensate it in an effective way. The methodology of Lyapunov stability criterion is implemented to validate the uniform stability of the closed-loop system. The synergistic combination of active mass damper (AMD), torsional actuator (TA), and Type-1 Fuzzy PID controller resulted in superior vibration attenuation which is validated by the experimental tests.

Place, publisher, year, edition, pages
Springer, 2019
Series
Lecture Notes in Civil Engineering, ISSN 2366-2557, E-ISSN 2366-2565 ; 61
Keywords
PID, Fuzzy logic, Vibration control
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:oru:diva-71799 (URN)10.1007/978-981-15-1404-3_23 (DOI)2-s2.0-85078185795 (Scopus ID)978-981-15-1403-6 (ISBN)978-981-15-1404-3 (ISBN)
Note

First International Conference on Emerging Trends in Civil Engineering (ICETCE 2018), Andhra Pradesh, India, December 20-22, 2018

Available from: 2019-01-24 Created: 2019-01-24 Last updated: 2020-02-03Bibliographically approved
Paul, S. & Yu, W. (2018). A method for bidirectional active control of structures. Journal of Vibration and Control, 24(15), 3400-3417
Open this publication in new window or tab >>A method for bidirectional active control of structures
2018 (English)In: Journal of Vibration and Control, ISSN 1077-5463, E-ISSN 1741-2986, Vol. 24, no 15, p. 3400-3417Article in journal (Refereed) Published
Abstract [en]

Proportional-derivative (PD) and proportional-integral-derivative (PID) controllers are popular control algorithms in industrial applications, especially in structural vibration control. In this paper, the designs of two dampers, namely the horizontal actuator and torsional actuator, are combined for the lateral and torsional vibrations of the structure. The standard PD and PID controllers are utilized for active vibration control. The sufficient conditions for asymptotic stability of these controllers are validated by utilizing the Lyapunov stability theorem. An active vibration control system with two floors equipped with a horizontal actuator and a torsional actuator is installed to carry out the experimental analysis. The experimental results show that bidirectional active control has been achieved.

Place, publisher, year, edition, pages
Sage Publications, 2018
Keywords
PID control, bidirectional control, active vibration control, stability, building structure
National Category
Engineering and Technology Control Engineering
Identifiers
urn:nbn:se:oru:diva-71776 (URN)10.1177/1077546317705556 (DOI)000441274200012 ()2-s2.0-85045343337 (Scopus ID)
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-25Bibliographically approved
Paul, S., Yu, W. & Jafari, R. (2018). A method for bidirectional active vibration control of structure using discrete-time sliding mode. Paper presented at 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON, Guadalajara, Jalisco, Mexico, June 20-22, 2018. IFAC-PapersOnLine, 51(13), 361-365
Open this publication in new window or tab >>A method for bidirectional active vibration control of structure using discrete-time sliding mode
2018 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 51, no 13, p. 361-365Article in journal (Refereed) Published
Abstract [en]

In this paper, a novel discrete-time sliding mode control is proposed in order to attenuate structural vibration due to earthquake forces. The analysis is based on the lateral-torsional vibration under the bidirectional waves. The proposed fuzzy modeling based sliding mode control can reduce chattering due to its time-varying gain. In the modeling equation of the structural system, the uncertainty exists in terms of sti¤ness, damping forces and earthquake. Fuzzy logic model is used to identify and compensate the uncertainty associated with the modeling equation. We prove that the closed-loop system is uniformly stable using Lyapunov stability analysis. The experimental result reveals that discrete-time sliding mode controller offers significant vibration attenuation with active mass damper and torsional actuator.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
active vibration control, sliding mode control, discrete-time, Lyapunov stability, fuzzy logic
National Category
Engineering and Technology Control Engineering
Identifiers
urn:nbn:se:oru:diva-71780 (URN)10.1016/j.ifacol.2018.07.305 (DOI)000443321500060 ()2-s2.0-85052620438 (Scopus ID)
Conference
2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON, Guadalajara, Jalisco, Mexico, June 20-22, 2018
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-25Bibliographically approved
Paul, S. & Morales-Menendez, R. (2018). Active Control of Chatter in Milling Process Using Intelligent PD/PID Control. IEEE Access, 6, 72698-72713
Open this publication in new window or tab >>Active Control of Chatter in Milling Process Using Intelligent PD/PID Control
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 72698-72713Article in journal (Refereed) Published
Abstract [en]

Chatter is an obstacle for achieving high-quality machining process and high production rate in industries. Chatter is an unstable self-exciting phenomenon that leads to tool wear, poor surface finish, and downgrade the milling operations. A novel active control strategy to attenuate the chatter vibration is proposed. PD/PID controllers in combination with Type-2 Fuzzy logic were utilized as a control strategy. The main control actions were generated by PD/PID controllers, whereas the Type-2 Fuzzy logic system was used to compensate the involved nonlinearities. The Lyapunov stability analysis was utilized to validate the stability of Fuzzy PD/PID controllers. The theoretical concepts and results are proved using numerical simulations. Although PD/PID controllers have been used for chatter control in machining process, the importance of stability along with the implementation of Type-2 Fuzzy logic system for nonlinearity compensation was the main contribution. In addition, active control using an Active Vibration Damper placed in an effective position is entirely a new approach with promising practical results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Milling, Shock absorbers, Tools, Fuzzy logic, Vibrations, Force, Vibration control, manufacturing, fuzzy control, PD control, Lyapunov methods, stability analysis, control nonlinearities
National Category
Control Engineering
Identifiers
urn:nbn:se:oru:diva-71771 (URN)10.1109/ACCESS.2018.2882491 (DOI)000454057900001 ()2-s2.0-85057167148 (Scopus ID)
Available from: 2019-01-23 Created: 2019-01-23 Last updated: 2019-01-25Bibliographically approved
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