Multi-scale approximate explicit model predictive control method for disk drive systems

Abstract

A multi-scale approximate explicit model predictive control method for disk drive systems comprises the following steps: 1) modeling the disk drive system to obtain a parameter optimization problem; 2) performing a piecewise linear insertion method to obtain an approximate control law; 3) converting the form of the approximate control law into an adaptive layered function approximation; 4) introducing a center of gravity function to obtain an approximate control law base on the center of gravity function by using the center of gravity interpolation; 5) performing multi-scale approximate explicit model predictive control of the disk drive system. The invention improves the real-time performance of the disk drive control system, reduces the control complexity, reduces the requirement of thestorage capacity of the controller, saves the on-line calculation time, and has good control effect.

Description

technical field [0001] The invention relates to an optimal control method of a disk drive system. Background technique [0002] The disk drive system is an important part of the computer, and its application range is more and more extensive. A disk drive, also known as a "disk drive", is a storage device that uses a disk as a recording medium, mainly including a floppy disk drive, a hard disk drive, and an optical disk drive. The disk drive reads the data in the disk and transmits it to the processor. It can be seen that the speed at which the disk drive system reads information will directly affect the progress of the overall work of the computer. Therefore, it is very important to find a reasonable control method to control the disk drive. [0003] For dealing with multivariable constrained optimal control problems, model predictive control method is a very effective method. After years of research and exploration, it has achieved great development and has been widely use...

AI Technical Summary

Problems solved by technology

[0004] Explicit Model Predictive Control (Explicit Model Predictive Control) introduces the theory of multi-parameter programming, divides the state area of ​​the system convexly, and establishes the explicit relationship between the optimal control law and the state corresponding to the optimization problem on each state partition. Functional relationship (linear control law for the state); this method also has its limitations, it is only suitable for constrained systems, and the complexity will increase exponentially with the increase of the problem size, that is, when the number of inputs increases or When the control time domain becomes longer, a large storage space is required, which makes it more difficult to find the control law and deal with the problem

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