Company Filing History:
Years Active: 2022
Title: Qizhe Wang: Innovator in Linear Oscillatory Machine Control
Introduction
Qizhe Wang is a notable inventor based in Hubei, China. He has made significant contributions to the field of machine control, particularly through his innovative patent. His work focuses on enhancing the efficiency and accuracy of linear oscillatory machines.
Latest Patents
Qizhe Wang holds a patent for a "Linear oscillatory machine control method based on adaptive full-order displacement observer." This patent outlines a method that includes constructing a full-order displacement observer. The system utilizes parameters such as the equivalent spring elasticity coefficient and equivalent damping coefficient for identification. The full-order displacement observer acts as an adjustable model, while the machine itself serves as a reference model. An error state equation is constructed based on the discrepancies between the adjustable model and the reference model. By employing Popov's hyperstability theory, the method determines the operation upper critical frequency and the adaptive formula for adjustable parameters, ensuring the convergence of the error state equation. The machine operates at a frequency lower than the upper critical frequency, allowing for effective frequency tracking and displacement control through the input of measured current and voltage signals.
Career Highlights
Qizhe Wang is affiliated with Huazhong University of Science and Technology, where he contributes to research and development in machine control technologies. His academic background and innovative mindset have positioned him as a key figure in his field.
Collaborations
He has collaborated with esteemed colleagues such as Wei Xu and Xiang Li, further enhancing the impact of his research and innovations.
Conclusion
Qizhe Wang's contributions to the field of linear oscillatory machine control demonstrate his commitment to advancing technology through innovative methods. His patent reflects a significant step forward in machine control, showcasing his expertise and dedication to research.