| Project/Area Number |
13555120
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 展開研究 |
|---|
| Research Field |
Control engineering
|
|---|
| Research Institution | Keio University |
|---|
Principal Investigator |
OHMORI Hiromitsu Keio Univ., Faculty of Science and Technology, Professor, 理工学部, 教授 (90203942)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
ITO Hiroshi Kyusyu Institute of Technology, Faculty of Computer Science and Systems Engineering, Associate Professor, 情報工学部, 助教授 (70274561)
HIDAKA Koichi Tokyo Denki Univ., Faculty of Engineering, Associate Professor, 工学部, 助教授 (10321407)
NAGAIWA Akihiro Toshiba Co., Power and Industrial Systems R&D Center, Chief, 電力・産業システム技術開発センター, 主務
YAMANAKA Osamu Toshiba Co., Power and Industrial Systems R&D Center, Researcher, 電力・産業システム技術開発センター, 研究員
長岩 明弘 (株)東芝, 電力・産業システム技術開発センター, 主務
|
|---|
| Project Period (FY) |
2001 – 2003
|
| Project Status |
Completed (Fiscal Year 2003)
|
| Budget Amount *help |
¥13,400,000 (Direct Cost: ¥13,400,000)
Fiscal Year 2003: ¥5,900,000 (Direct Cost: ¥5,900,000)
Fiscal Year 2002: ¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 2001: ¥3,600,000 (Direct Cost: ¥3,600,000)
|
|---|
| Keywords | wastewater treatment process / Nitrogen removal / parameter identification / reduced order model / mode-based control / on-line water-quality measurement / dissipative control / 消散性 / パラメータ同定(パラメータ推定) / 非線形(適応)制御 / パラメータ同定(バラメータ推定) |
|---|
| Research Abstract |
(1)For the first year to the second year, we established individual element technology such as making a practical modeling for wastewater treatment process, adaptive observer, and sensing technology.
(2) For the last year, we have proposed the enhanced confidence control system. This last proposed control system is possible to meat the request of practical use, optimality, robustness, reliability, flexibility, and realization. This control system of activated sludge process consists of two layers of control systems, i.e., upper level control and lower level controller, The upper level controller optimizes the whole process, on the other hand, the lower level controller generates the control input locally.
(3) In the upper level controller, we proposed two constructing methods. (3-1) The weight coefficients in a certain cost function are determined for the nonlinear-optimization problem, then it is successful in designing the control system that utility was kept. (3-2) we applied the extr
… More
eme control strategy for the activated sludge process. We succeeded in a method of forming of control system to do hold in extreme value of the cost function with on-line manner.
(4) In the lower level controller, we proposed three constructing methods. (4-1) We evaluate the reliability of the water sensor of ammonia indicator and nitric acid indicators. Then the tuning method of PI control parameters is proposed. We did enforcement experiment by a pilot plant and examined the problem that should have been settled. (4-2) It is successful by introducing passivity into elucidation of positive system problem. (4-3) The new adaptive observer method is proposed, the total stability of this observer system is proven theoretically.
(5) We proposed a reduced-order model of biological wastewater treatment process for the purpose of model-based control design of nitrogen and phosphorus removal. By perturbation technique with ASM2 model, we derive the lower order system whose response is as same as one of original system. Less
|
