Experimental evaluation of various modified Smith predictor-based fractional order control design strategies in control of a thermal process with time delay

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Necdet Sinan Özbek ◽  
İlyas Eker
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Experimental Evaluation ◽  
Thermal Process ◽  
Control Design ◽  
Smith Predictor ◽  
Design Strategies ◽  
Fractional Order Control ◽  
Modified Smith Predictor

Control of Time-Delay Systems Using Robust Fractional-Order Control and Robust Smith Predictor Based Control

2005 ◽  
Author(s):  
Patrick Lanusse ◽  
Alain Oustaloup
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Control Plant ◽  
Smith Predictor ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Robust Controller ◽  
Fractional Order Control ◽  
And Performance ◽  
Performance Tradeoff

Many modifications have been proposed to improve the Smith predictor structure used to control plant with time-delay. Some of them have been proposed to enhance the robustness of Smith predictor based controllers. They are often based on the use of deliberately mismatched model of the plant and then the IMC method can be used to tune the controller. This paper compares the performance of two Smith predictor based controllers including a mismatched model to the performance provided by a fractional order Crone controller which is well known for managing well the robustness and performance tradeoff. It is shown that even if it can simplify the design of (robust) controller, the use of an improved Smith predictor is not necessary to obtain good performance.

Performance Analysis of Modified Smith Predictor for Integrating and Time-Delay Processes

2011 ◽  
Vol 53 (4) ◽  
pp. 261-270
Author(s):  
G. Saravana Kumar ◽  
R.S.D. Wahidabanu ◽  
K.G. Arun Raajesh
Keyword(s):  
Time Delay ◽  
Performance Analysis ◽  
Smith Predictor ◽  
Modified Smith Predictor

Optimal fractional-order PID control design for time-delayed multi-input multi-output seismic-excited structural system

2021 ◽  
pp. 107754632110531
Author(s):  
Abbas-Ali Zamani ◽  
Sadegh Etedali
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Design Process ◽  
Fractional Order ◽  
Seismic Performance ◽  
Pid Control ◽  
Pid Controller ◽  
Control Design ◽  
Structural System ◽  
Fractional Order Pid

The application of the fractional-order PID (FOPID) controller is recently becoming a topic of research interest for vibration control of structures. Some researchers have successfully implemented the FOPID controller in a single-input single-output (SISO) control structural system subjected to earthquake excitations. However, there is a lack of research that focuses on its application in multi-input multi-output (MIMO) control systems to implement it in seismic-excited structures. In this case, the cross-coupling of the process channels in the MIMO control structural system may result in a complex design process of controllers so that each loop is independently designed. From an operational point of view, the time delay and saturation limit of the actuators are other challenges that significantly affect the performance and robustness of the controller so that ignoring them in the design process may lead to unrealistic results. According to the challenges, the present study proposed an optimal fractional-order PID control design approach for structural control systems subjected to earthquake excitation. Gases Brownian motion optimization (GBMO) algorithm is utilized for optimal tuning of the controller parameters. Considering six real earthquakes and seven performance indices, the performance of the proposed controller, implemented on a ten-story building equipped with an active tendon system (ATS), is compared with those provided by the classical PID controller. Simulation results indicate that the proposed FOPID controller is more efficient than the PID in both terms of seismic performance and robustness against time-delay effects. The proposed FOPID controller can maintain suitable seismic performance in small time delays, while a significant performance loss is observed for the PID controller.

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