Patent №
US 8,060,340
Granted
2011-11-15
Filed 2008
Owner
CLEVELAND STATE UNIVERSITY
Lab
—
AI components
1
planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12067141
Controller scaling and parameterization are described. Techniques that can be improved by employing the scaling and parameterization include, but are not limited to, controller design, tuning and optimization. The scaling and parameterization methods described here apply to transfer function based controllers, including PID controllers. The parameterization methods also apply to state feedback and state observer based controllers, as well as linear active disturbance rejection (ADRC) controllers. Parameterization simplifies the use of ADRC. A discrete extended state observer (DESO) and a generalized extended state observer (GESO) are described. They improve the performance of the ESO and therefore ADRC. A tracking control algorithm is also described that improves the performance of the ADRC controller. A general algorithm is described for applying ADRC to multi-input multi-output systems. Several specific applications of the control systems and processes are disclosed.
AI classification
Ownership
CLEVELAND STATE UNIVERSITY
assignment · 215070088
Assignors
GAO, ZHIQIANG, MIKLOSOVIC, ROBERT, RADKE, AARON, ZHOU, WANKUN, ZHENG, QING
On an employer assignment, the assignors are typically the inventors.