18495451. PARTIAL-FORM MODEL-FREE ADAPTIVE DISTURBANCE COMPENSATION CONTROL IN THE PRESENCE OF MEASURABLE DISTURBANCES simplified abstract (ZHEJIANG UNIVERSITY)
PARTIAL-FORM MODEL-FREE ADAPTIVE DISTURBANCE COMPENSATION CONTROL IN THE PRESENCE OF MEASURABLE DISTURBANCES
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Inventor(s)
PARTIAL-FORM MODEL-FREE ADAPTIVE DISTURBANCE COMPENSATION CONTROL IN THE PRESENCE OF MEASURABLE DISTURBANCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18495451 titled 'PARTIAL-FORM MODEL-FREE ADAPTIVE DISTURBANCE COMPENSATION CONTROL IN THE PRESENCE OF MEASURABLE DISTURBANCES
Simplified Explanation
The patent application describes a method of partial-form model-free adaptive disturbance compensation control in the presence of measurable disturbances. Here are the key points of the innovation:
- Establishing a dynamic data model of a controlled plant with measurable disturbances using pseudo Jacobian input and disturbance matrices.
- Constructing cost functions and solving optimization problems to find optimal values of the input and disturbance matrices.
- Designing a partial-form model-free adaptive disturbance compensation control law.
- Constructing an energy function and solving it using a momentum gradient descent method to find optimal values of the adaptive input and disturbance matrices.
- Controlling the plant using the developed control law.
- Potential Applications
This technology can be applied in industries where precise control of systems in the presence of disturbances is crucial, such as manufacturing, robotics, and aerospace.
- Problems Solved
This technology addresses the challenge of compensating for measurable disturbances in controlled systems, leading to improved control performance and better tracking of desired system outputs.
- Benefits
The innovation offers significant improvements in disturbance compensation control, enhancing the overall stability and accuracy of controlled systems.
- Potential Commercial Applications
Potential commercial applications of this technology include advanced control systems for industrial processes, autonomous vehicles, and smart infrastructure.
- Possible Prior Art
One possible prior art for this technology could be traditional control methods that do not adapt to disturbances in real-time, leading to suboptimal performance in the presence of varying external factors.
- Unanswered Questions
- How does this technology compare to existing adaptive control methods?
This article does not provide a direct comparison with other adaptive control methods, leaving a gap in understanding the relative advantages and disadvantages of this innovation.
- What are the limitations of this technology in practical applications?
The article does not discuss any potential limitations or challenges that may arise when implementing this technology in real-world scenarios, leaving room for further exploration of its practicality and scalability.
Original Abstract Submitted
A method of partial-form model-free adaptive disturbance compensation control in the presence of measurable disturbances, includes establishing a dynamic data model of a controlled plant subject to measurable disturbances, wherein the dynamic data model is described by a pseudo Jacobian input matrix and a pseudo Jacobian disturbance matrix; constructing cost functions and solving their optimization problems to find optimal values of the pseudo Jacobian input matrix and the pseudo Jacobian disturbance matrix; designing a partial-form model-free adaptive disturbance compensation control law in the presence of measurable disturbances; constructing an energy function and solving it by using a momentum gradient descent method to find optimal values of the partial-form adaptive input matrix and the partial-form adaptive disturbance matrix; controlling the controlled plant by using the control law. The control method of the present invention provides significant improvements in disturbance compensation control performance and achieves effective tracking of desired system outputs.
