The Design and Implementation of a Multivariable Internal Model Controller for a Continuous Polybutadiene Polymerization Train

To improve handling and stability for distributed drive electric vehicles (DDEV), the study on four wheel steering (4WS) systems can improve the vehicle driving performance through enhancing the tracking capability to desired vehicle state. Most previous controllers are either a large amount of calculation, or requires a lot of experimental data, these are relatively time-consuming and laborious. According to the front and rear wheel steering angle of DDEV can be distributed independently, a novel controller named internal model controller with fractional-order filter (IMC-FOF) for 4WS systems is proposed and studied in this paper. The IMC-FOF is designed using the internal model control theory and compared with IMC and PID controller. The influence of time constant and fractional-order parameters which is optimized using quantum genetic algorithms (QGA) on tracking ability of vehicle state are also analyzed. Using a production vehicle as an example, the simulation is performed combining Matlab/Simulink and CarSim. The comparison results indicated that the proposed controller presents performance to distribute the front and rear wheel steering angle for ensuring better tracking capability to desired vehicle state, meanwhile it possesses strong robustness.

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Properties of the Neural Network Internal Model Controller

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)50800-9 ◽

1992 ◽

Vol 25 (10) ◽

pp. 61-66

Author(s):

H. Koivisto ◽

V. Ruoppila ◽

H.N. Koivo

Keyword(s):

Neural Network ◽

Internal Model ◽

The Neural Network ◽

Internal Model Controller

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Internal model controller based PID with fractional filter design for a nonlinear process

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i1.pp243-254 ◽

2020 ◽

Vol 10 (1) ◽

pp. 243

Author(s):

Hemavathy P.R. ◽

Mohamed Shuaib Y ◽

S.K. Lakshmanaprabu

Keyword(s):

Internal Model ◽

Process Model ◽

Filter Design ◽

Linear Process ◽

Piecewise Linearization ◽

Time Model ◽

First Order ◽

Non Linear ◽

Internal Model Controller ◽

Fractional Filter

In this paper, an Internal model Controller (IMC) based PID with fractional filter for a first order plus time delay process is proposed. The structure of the controller has two parts, one is integer PID controller part cascaded with fractional filter. The proposed controller has two tuning factors λ, filter time constant and a, fractional order of the filter. In this work, the two factors are decided in order to obtain low Integral Time Absolute Error (ITAE). The effectiveness of the proposed controller is studied by considering a non linear (hopper tank) process. The experimental set up is fabricated in the laboratory and then data driven model is developed from the experimental data. The non linear process model is linearised using piecewise linearization and two linear regions are obtained. At each operating point, linear first order plus dead time model is obtained and the controller is designed for the same. To show the practical applicability, the proposed controller is implemented for the proposed experimental laboratory prototype.

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