Access the full text.
Sign up today, get DeepDyve free for 14 days.
Vineet Kumar, K. Rana (2017)
Comparative Study on Fractional Order PID and PID Controllers on Noise Suppression for Manipulator Trajectory Control
P. Mishra, Vineet Kumar, K. Rana (2015)
A fractional order fuzzy PID controller for binary distillation column controlExpert Syst. Appl., 42
I Podlubny (1999)
Fractional-order systems and $$\text{PI}^{\lambda }\text{ D }^{\mu }$$ PI λ D μ - controllersIEEE Trans. Autom. Control, 44
U. Al-Saggaf, I. Mehedi, R. Mansouri, M. Bettayeb (2017)
Rotary flexible joint control by fractional order controllersInternational Journal of Control, Automation and Systems, 15
Y. Chen, I. Petráš, Dingyu Xue (2009)
Fractional order control - A tutorial2009 American Control Conference
F. Padula, A. Visioli (2012)
Optimal tuning rules for proportional-integral-derivative and fractional-order proportional-integral-derivative controllers for integral and unstable processesIet Control Theory and Applications, 6
Heng Liu, Shenggang Li, Guanjun Li, Hongxing Wang (2018)
Adaptive Controller Design for a Class of Uncertain Fractional-Order Nonlinear Systems: An Adaptive Fuzzy ApproachInternational Journal of Fuzzy Systems, 20
Pritesh Shah, Prof. Agashe (2013)
Design and Optimization of Fractional PID Controller for Higher Order Control System
(2008)
Chemical Process Control, 1st edn
G Stephanopolous (2008)
Chemical Process Control
M. Beschi, F. Padula, A. Visioli (2016)
Fractional robust PID control of a solar furnaceControl Engineering Practice, 56
P. Çivicioglu (2013)
Backtracking Search Optimization Algorithm for numerical optimization problemsAppl. Math. Comput., 219
A. Visioli (2001)
Optimal tuning of PID controllers for integral and unstable processes, 148
C. Yeroğlu, N. Tan (2011)
Note on fractional-order proportional–integral–differential controller designIet Control Theory and Applications, 5
Yashpal Sheoran, Vineet Kumar, K.P.S. Rana, P. Mishra, J. Kumar, S. Nair (2015)
Development of Backtracking Search Optimization Algorithm Toolkit in LabVIEWProcedia Computer Science, 57
Ahmad Ali, S. Majhi (2011)
Integral criteria for optimal tuning of PI/PID controllers for integrating processesAsian Journal of Control, 13
V. Feliu-Batlle, R. Rivas-Perez, F. Castillo-García (2009)
Fractional order controller robust to time delay variations for water distribution in an irrigation main canal poolComputers and Electronics in Agriculture, 69
Indranil Pan, Saptarshi Das, Amitava Gupta (2011)
Handling Packet Dropouts and Random Delays for Unstable Delayed Processes in NCS by Optimal Tuning of PIλDμ Controllers with Evolutionary AlgorithmsISA transactions, 50 4
Trajectory Tracking Control for a 3-DOF Parallel Manipulator Using Fractional-Order PI λ D μ Control
Swati Sondhi, Y. Hote (2014)
Fractional order PID controller for load frequency controlEnergy Conversion and Management, 85
H. T., agglund (2001)
The future of PID control
M. Zamani, M. Karimi-Ghartemani, N. Sadati, M. Parniani (2009)
Design of a fractional order PID controller for an AVR using particle swarm optimizationControl Engineering Practice, 17
Yi-Cheng Cheng, C. Hwang (2006)
Stabilization of unstable first‐order time‐delay systems using fractional‐order pd controllersJournal of the Chinese Institute of Engineers, 29
P. Roy, B. Roy (2016)
Fractional order PI control applied to level control in coupled two tank MIMO system with experimental validationControl Engineering Practice, 48
A Dumlu, K Erenturk (2014)
Trajectory tracking control for a 3-DOF parallel manipulator using fractional-order $$\text{ PI }^{\lambda }\text{ D }^{\mu }$$ PI λ D μ ControlIEEE Trans. Industr. Electron., 61
Jingqing Han (2009)
From PID to Active Disturbance Rejection ControlIEEE Trans. Ind. Electron., 56
Saptarshi Das, Indranil Pan, S. Das (2013)
Performance Comparison of Optimal Fractional Order Hybrid Fuzzy PID Controllers for Handling Oscillatory Fractional Order Processes with Dead TimeISA transactions, 52 4
Dan Chen, D. Seborg (2002)
PI/PID controller design based on direct synthesis and disturbance rejectionIndustrial & Engineering Chemistry Research, 41
Giridharan Karunagaran, Cai Wenjian (2011)
The Parallel Control Structure for Transparent Online TuningJournal of Process Control, 21
A. Rao, V. Rao, M. Chidambaram (2009)
Direct synthesis-based controller design for integrating processes with time delayJ. Frankl. Inst., 346
I. Podlubny (1999)
Fractional-order systems and PIλDμ-controllersIEEE Trans. Autom. Control., 44
Ahmad Ali, S. Majhi (2010)
PID controller tuning for integrating processes.ISA transactions, 49 1
Zhuo Li, Lu Liu, Sina Dehghan, Y. Chen, Dingyu Xue (2015)
A review and evaluation of numerical tools for fractional calculus and fractional order controlsInternational Journal of Control, 90
Control of flow rate in industrial plants is an essential and crucial task, which is usually achieved by pneumatic control valves in industries. Use of these valves often incorporates nonlinear and uncertain dynamics in the control loop on account of its input-output characteristics, which may result in degradation of control loop performance. To address this concern, a robust and improved fractional order parallel control structure (FOPCS) for flow control is proposed in this paper. The proposed FOPCS is an extension of parallel control structure (PCS) with the help of fractional order calculus, to enhance the robustness in the control loop without compromising with control performance. Also, a global optimization technique, backtracking search algorithm was further employed to critically tune the parameters of control structures. This was done in order to obtain an optimized and enhanced performance from the control loop. Extensive runtime studies on a laboratory scale plant, using advanced data acquisition facilities, were carried out to showcase the effectiveness of developed FOPCS. Proposed FOPCS is thoroughly assessed in terms of servo, regulatory and robustness performance. A quantitative comparison of FOPCS with PCS is also made on the basis of integral of absolute error, integral of absolute rate of controller output and their algebraic summation. All the conducted experimental studies suggested that proposed FOPCS was able to address the issues pertaining to uncertain and nonlinear behaviour of pneumatic control valve in the flow control loop.
Arabian Journal for Science and Engineering – Springer Journals
Published: Jun 4, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.