Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

33 results about "Measurable quantity" patented technology

Measurable quantity. An attribute of a substance which may be distinguished qualitatively and determined quantitatively. In the context of analytical chemistry, the attribute may refer to a physical quantity such as X- or γ-ray energy, or it may refer to a measure of amount such as mass or concentration.

Feedback-based electric vehicle yaw stability real-time control device and method

ActiveCN109291932AYaw Stability GuaranteedDriver input parametersExecution unitModel predictive control
The invention discloses a feedback-based electric vehicle yaw stability real-time control device and method. The feedback-based electric vehicle yaw stability real-time control device comprises an upper layer controller and a lower layer controller. The upper layer controller is provided with a sensor unit, a model prediction controller and a direct yaw moment calculation unit. The lower layer controller is provided with a judgment and decision unit and a direct yaw moment execution unit, and the direct yaw moment execution unit controls the driving torque of a target wheel. The feedback-basedelectric vehicle yaw stability real-time control method adopts a layered control structure, required signals are provided by a sensor, measurable quantity is adopted, and the sensor real-time feedback and a model predictive control algorithm are used for designing the upper layer controller to calculate required direct yaw moment for maintaining the yaw stability in the movement process of the whole vehicle; and the lower layer controller ensures that direct yaw moment commands emitted from the upper layer controller are realized by the distribution of the driving torque, it is ensured that avehicle can achieve stable driving under different working conditions, and the yaw stability of an electric vehicle is improved.
Owner:ZHEJIANG DONGFANG ELECTROMECHANICAL

Fuzzy neural network inversion soft measurement system and method of key variables in lysine fermentation process

The invention discloses a fuzzy neural network inversion soft measurement system and method of key variables in a lysine fermentation process. Online directly measurable quantity and indirectly measurable quantity needing off testing in a lysine fermentation process are determined. By use of the fuzzy neural network inversion soft measurement method, according to the model of the lysine fermentation process, the model of a soft sensor is established, thereby, establishing an inversion model of the soft sensor according to a method of solving a reverse function, and determining free parametersand constructing fuzzy neural network inversion by use of static state fuzzy neural network and a differentiator by training the dynamic fuzzy neural network. Thus, software sensor inversion is achieved. Finally, by serially connecting the fuzzy neural network to the lysine fermentation process, achieving online real-time soft measurement of cell concentration x1, substrate concentration x2 and product concentration x3. In this way, an online estimation problem that it is difficult to carry out real quantity measurement of key variables by use of a physical sensor in the lysine fermentation process can be effectively solved.
Owner:JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products