Fractional Order Linear ADRC-Based Controller Design for Heat-Flow Experiment

Fractional order control (FOC) has received widespread attention in recent years due to its efficient tuning capacity, intuitive concept, and enough flexibility. Again, FOC are known to be robust with the open loop gain in particular. However, the design of FOC demands the knowledge of the model to be modified. But on the other hand, the linear active disturbance control (LADRC) technique is known to be model free controller. In order to achieve the better tracking performance even in uncertain operational conditions by responding timely against external disturbances, these two controllers (FOC and LADRC) are combined to propose a new fractional order LADRC to handle integer order system. Therefore, FOC-based LADRC for heat-flow experiment (HFE) is designed in this paper to track desired trajectories of heat flow. Bode’s ideal transfer function is considered as an orientation model to propose this new controller while using the concept of internal mode control. A better performance of fractional order linear active disturbance control (FO-LADRC) is shown for a very good disturbance rejection capability through simulation and experiments on a heat-flow system.

[1]  Rachid Mansouri,et al.  Two degrees of freedom fractional controller design: Application to the ball and beam system , 2019 .

[2]  Mansouri Rachid,et al.  IMC-PID-fractional-order-filter controllers design for integer order systems. , 2014, ISA transactions.

[3]  Zhiqiang Gao,et al.  Scaling and bandwidth-parameterization based controller tuning , 2003, Proceedings of the 2003 American Control Conference, 2003..

[4]  YangQuan Chen,et al.  Tuning and auto-tuning of fractional order controllers for industry applications , 2008 .

[5]  R. Villamizar,et al.  Linear active disturbance rejection control for a raceway photobioreactor , 2019, Control Engineering Practice.

[6]  Jun Yang,et al.  Optimized Active Disturbance Rejection Control for DC-DC Buck Converters With Uncertainties Using a Reduced-Order GPI Observer , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Rachid Mansouri,et al.  Fractional IMC-PID-filter controllers design for non integer order systems , 2014 .

[8]  Suman Saha,et al.  On the Selection of Tuning Methodology of FOPID Controllers for the Control of Higher Order Processes , 2011, ISA transactions.

[9]  Jingqing Han,et al.  From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..

[10]  Caifen Fu,et al.  Linear Active Disturbance-Rejection Control: Analysis and Tuning via IMC , 2016, IEEE Transactions on Industrial Electronics.

[11]  J. A. Tenreiro Machado,et al.  Special Issue: Advances in Fractional Dynamics and Control , 2016 .

[12]  Ubaid M. Al-Saggaf,et al.  Rotary flexible joint control by fractional order controllers , 2017 .

[13]  Farzaneh Hamzeh Nejad,et al.  Precise tip-positioning control of a single-link flexible arm using a fractional-order sliding mode controller , 2020 .

[14]  Ubaid M. Al-Saggaf,et al.  Fractional-order controller design for a heat flow process , 2016, J. Syst. Control. Eng..

[15]  Rachid Mansouri,et al.  Smith Predictor Based Fractional‐Order‐Filter PID Controllers Design for Long Time Delay Systems , 2017 .

[16]  Jizhen Liu,et al.  Linear active disturbance rejection control for pressurized water reactor power based on partial feedback linearization , 2020 .

[17]  D. Matignon Stability properties for generalized fractional differential systems , 1998 .

[18]  IbrahimĀ MustafaĀ Mehedi,et al.  State feedback based fractional order control scheme for linear servo cart system , 2018 .

[19]  Ubaid M. Al-Saggaf,et al.  State feedback with fractional integral control design based on the Bode’s ideal transfer function , 2016, Int. J. Syst. Sci..

[20]  Kwang Y. Lee,et al.  A Practical Multivariable Control Approach Based on Inverted Decoupling and Decentralized Active Disturbance Rejection Control , 2016 .