Smith Predictor Tuned Through Fuzzy Fractional PID Controller

2016 ◽  
pp. 71-80
Author(s):  
Isabel S. Jesus ◽  
Ramiro S. Barbosa
Keyword(s):  
Pid Controller ◽  
Smith Predictor

scholarly journals An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor

2021 ◽  
Vol 11 (6) ◽  
pp. 2685
Author(s):  
Guojin Pei ◽  
Ming Yu ◽  
Yaohui Xu ◽  
Cui Ma ◽  
Houhu Lai ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Experimental Validation ◽  
Control Method ◽  
Smith Predictor ◽  
Constant Force ◽  
Matlab Simulation ◽  
Adjustment Time

A compliant constant-force actuator based on the cylinder is an important tool for the contact operation of robots. Due to the nonlinearity and time delay of the pneumatic system, the traditional proportional–integral–derivative (PID) method for constant force control does not work so well. In this paper, an improved PID control method combining a backpropagation (BP) neural network and the Smith predictor is proposed. Through MATLAB simulation and experimental validation, the results show that the proposed method can shorten the maximum overshoot and the adjustment time compared with traditional the PID method.

scholarly journals PID Controller Design for TITO Processes Based on IMC and Smith Predictor Configuration

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1522-1526
Keyword(s):  
Time Delay ◽  
Disturbance Rejection ◽  
Pid Controller ◽  
Controller Design ◽  
Control Design ◽  
Smith Predictor ◽  
Point Tracking ◽  
Pid Controller Design ◽  
Reduced Time

This paper describes the design of ProportionalIntegral-Derivative (PID) controller for two variable processes where the two variables need to control. Design of controllers for such a process is too difficult than single variable processes because of interrelations between the two variables present in the system. Hence, the design approach should include the interrelations of the variables to achieve better performance of the processes. In addition to this, the time delay of the processes is also considered and Smith Predictor (SP) configuration is used to reduce the delay in the processes. For the resultant reduced time delay processes, an IMC approach is used to design PID controller. The proposed control system improves both the servo (set point tracking) and regulatory (disturbance rejection) performance of the system. The proposed configuration is also validated using a case study. The simulation results are presented and compared with the other similar approaches to show the efficacy of the proposed method

Smith predictor based fractional-order integral controller for robust temperature control in a steel slab reheating furnace

2019 ◽  
Vol 41 (16) ◽  
pp. 4521-4534 ◽  
Author(s):  
Vicente Feliu-Batlle ◽  
Raul Rivas-Perez
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Temperature Control ◽  
Pid Controller ◽  
Large Time ◽  
Smith Predictor ◽  
Reheating Furnace ◽  
Steel Slab ◽  
Integral Controller ◽  
Fractional Order Integral

In this paper, a new strategy for robust control of temperature in a steel slab reheating furnace with large time delay uncertainty based on fractional-order controllers combined with a Smith predictor is proposed. A time delay model of the preheating zone of this process is used, obtained from an identification procedure applied in a real industrial furnace. It is shown that this process experiences very large time delay changes. A fractional-order integral controller embedded in a Smith predictor structure (FI-SP) is designed, which is robust to changes in such time delay. Simulated results of a standard Proportinal Integral Derivative (PID) controller, a PID controller embedded in a Smith predictor and the proposed FI-SP controller are compared. Six performance indexes have been used in this comparison. The analysis of these indexes shows that the designed FI-SP controller exhibits the most robust behavior (lowest indexes averaged in all the range of time delay variation) for ranges that include large time delays. Then the robustness features of the FI-SP controller outperform the other integer order controllers in the time responses both to set-point changes and to step disturbances. Therefore, this controller guarantees the best accuracy of temperature control. The designed FI-SP guarantees system stability and robust performance for a high range of plant time delay uncertainties.

The Smith Predictor Control of Argon-Bottom-Blowing Supply System with Time-Delay

2014 ◽  
Vol 602-605 ◽  
pp. 1383-1386
Author(s):  
Li Hui Chen ◽  
Zhan Ping Huang ◽  
Wen Xia Du ◽  
Yan Rui Du
Keyword(s):  
Time Delay ◽  
Molten Steel ◽  
Pid Controller ◽  
Supply System ◽  
Smith Predictor ◽  
Control Effect ◽  
Bottom Blowing ◽  
Simulation Results ◽  
System With Time Delay

The process of Argon-bottom-blowing is widely used in steelmaking, Argon is used to stir molten steel fully and uniform the composition and temperature to improve the quality of molten steel. In this paper, Argon-bottom-blowing supply system is selected as the research object, there exits big delay because of the long gas pipeline. In order to overcome the adverse effect of time-delay, the reasonable Smith predictor is designed, which try to make PID regulator act in advance and reduce system overshoot amount. The simulation results show Smith predictor and PID controller are connected in parallel, the influence of time-delay can be eliminated and satisfactory control effect can be obtained.

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