Abstract
In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. The closed-loop is designed such that the system from the reference input to the plant output can be approximately represented by a pure delay. The effect of the process zeros on the output is compensated by using adaptive finite impulse response filters. The incorporation of adaptive finite impulse response filters avoid the cancellation of non-cancellable zeros of the plant. Ultimately, the plant output is forced to track the reference input with a delay. The stability of the closed-loop for both minimum and non-minimum phase systems is guaranteed. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Control and Automation |
| Pages | 148-152 |
| Number of pages | 5 |
| Publication status | Published - 2003 |
| Event | Fourth International Conference on Control and Automation - Montreal, Que., Canada Duration: Jun 10 2003 → Jun 12 2003 |
Other
| Other | Fourth International Conference on Control and Automation |
|---|---|
| Country | Canada |
| City | Montreal, Que. |
| Period | 6/10/03 → 6/12/03 |
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ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Internal model control structure using adaptive inverse control strategy. / Shafiq, Muhammad; Riyaz, Sayyid Hasan.
International Conference on Control and Automation. 2003. p. 148-152.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Internal model control structure using adaptive inverse control strategy
AU - Shafiq, Muhammad
AU - Riyaz, Sayyid Hasan
PY - 2003
Y1 - 2003
N2 - In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. The closed-loop is designed such that the system from the reference input to the plant output can be approximately represented by a pure delay. The effect of the process zeros on the output is compensated by using adaptive finite impulse response filters. The incorporation of adaptive finite impulse response filters avoid the cancellation of non-cancellable zeros of the plant. Ultimately, the plant output is forced to track the reference input with a delay. The stability of the closed-loop for both minimum and non-minimum phase systems is guaranteed. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.
AB - In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. The closed-loop is designed such that the system from the reference input to the plant output can be approximately represented by a pure delay. The effect of the process zeros on the output is compensated by using adaptive finite impulse response filters. The incorporation of adaptive finite impulse response filters avoid the cancellation of non-cancellable zeros of the plant. Ultimately, the plant output is forced to track the reference input with a delay. The stability of the closed-loop for both minimum and non-minimum phase systems is guaranteed. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.
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M3 - Conference contribution
AN - SCOPUS:24344451716
SN - 078037777X
SP - 148
EP - 152
BT - International Conference on Control and Automation
ER -