Design of an Implicit GMV-PID Controller Using Closed Loop Data

Wakitani, Shin; Hosokawa, Kei; Yamamoto, Toru

doi:10.1541/ieejeiss.132.873

Cited by 8 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the above theorem, we can derive q 1 which stabilizes the set of matrices (1) if intervals of q 1 which stabilizes the matrices (2) In the sampled-data control system (1) , the plant output in continuous-time is sampled at an interval (sampling interval), and the control input in discrete-time is calculated using the sampled output and is held at an interval (hold interval) to be transformed into the continuous-time domain. If these intervals can be equivalent, the system can be designed as a single-rate system.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Extended Summaries

2013

IEEJ Trans.EIS

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

“…Next, the control parameters are replaced to the PID gains as following equations. f0, f1, f2 and G (1) are control parameters which are calculated by the GMVC technique.…”

Section: δU(t) = Ki E(t) − Kp δY(t) − Kdδ 2 Y(t)• • • • • • • • • (1)mentioning

confidence: 99%

Extended Summaries

2013

IEEJ Trans.EIS

View full text Add to dashboard Cite

“…This research is actively conducted because it is possible to avoid the problem of cost in the case of system identification. Moreover, it is a specially advanced research related to PID control [1], [2], [3], [4], [5] because of simple structure of controller and clear physical meaning. In fact, in process industry, such as a chemical process, PID control is being used widely up to this day.…”

Section: Introductionmentioning

confidence: 99%

Design of a data-oriented control system for a p-inputs/q-outputs (p > q) multivariable system

Tsubata

Nakamoto

Yamamoto

2014

2014 13th International Conference on Control Automation Robotics &Amp; Vision (ICARCV)

View full text Add to dashboard Cite

In recently years, the research on a scheme to adjust the control parameters from input/output experimental data without constructing a model is conducted. This research is specifically conducted on PID control, because it has a simple structure and its physical meanings are clear. On the other hand, it is by no means rare to deal with multivariable systems in industries. However, it is difficult for a multivariable system to obtain desired control performance due to interaction. Therefore, in this paper, the data-oriented design scheme of the PID controller forinputs/ -outputs ( > ) multivariable system is proposed. The control law is derived based on minimizing GMVC (Generalized Minimum Variance Control), and the control parameters are replaced by PID parameters. The effectiveness is numerically verified through some simulation examples.

show abstract