Design of Mechatronics Automatic Control System Based on Improved Genetic Algorithm

MACS (Mechatronics Automatic Control System), as a comprehensive system integrating computer information technology, mechanical engineering, material engineering and electronic communication technology, has been widely used in various industries with the continuous development of science and technology, which has promoted China's economic development. In this paper, a MACS based on improved GA (genetic algorithm) is proposed. The parameters of quantization factor and membership function are optimized by GA, and then the control rules are optimized by an improved GA, that is, effective control rules are generated or some unreasonable control rules are deleted, and finally an intelligent fuzzy controller is generated. The simulation results show that compared with ordinary GA, the improved GA has greatly improved the global optimization performance and convergence speed. MACS based on improved GA has good control effect, and the system has strong anti-interference ability.

I. Introduction

At present, China is among the best in the world manufacturing field, and with the continuous improvement of production technology, higher standards are put forward for electromechanical manufacturing. MACS (Mechatronics Automatic Control System), as a comprehensive system integrating computer information technology, mechanical engineering, material engineering and electronic communication technology, is widely used in various industries under the premise of continuous development of science and technology, which has promoted China's economic development [1]. Especially under the design concept of mechatronics, it endows mechanical products with intelligent, green and humanized characteristics, which has greatly promoted the construction and development of society. R&D personnel can devote more R&D costs in the direction of high intelligence development in both technology research and practical application [2]. At the same time, the performance of the emerging intelligent electromechanical integration system is improved, and the intelligent degree of the new electromechanical integration system is continuously improved.