Gang Xu
ABSTRACT
With the improvement of industrial automation level, higher requirements have been put forward for the control precision, response speed, and stability of complex mechanical systems. The article studied the application of adaptive control algorithms in complex mechanical systems, introduced the basic principles of adaptive control algorithms, and analyzed the characteristics and problems of three common adaptive control algorithms in complex mechanical systems. The experimental results showed that when the fuzzy adaptive control algorithm was applied in the system, the tracking error, control precision, and response time were optimal, with optimal values of 1.5 mm, 93.8%, and 334 ms, respectively. However, its performance in stability is ranked second. By comparing the characteristics and application scenarios of these three algorithms, users can choose the most suitable adaptive control algorithm for a specific problem. The research in this article is of great significance for the further development and application of the field of automatic control.
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