Điều khiển giảm dao động cần trục không dùng cảm biến góc sử dụng mạng nở ron

• Tác giả: Xuân Nam Đoàn, Nhật Thiên Mai, Văn Thuyên Ngô
• Ngôn ngữ: vie
• Ký hiệu phân loại: 620.3 Mechanical vibration
• Thông tin xuất bản: Khoa học và Công nghệ các trường đại học kỹ thuật, 2014
• Mô tả vật lý: 17-21
• Bộ sưu tập: Metadata
• ID: 506617

Tóm tắt

Sensorless control in a physical system helps reduce the equipment cost and increase the working liablility. In this paper, a control algorithm to reduce the swing angle of the load of an overhead crane without using sensors for angle measurement to reduce the cost as well as increase the reliability of the system was presented. The load position was controlled by a PID controller. An anti-swing controller for the crane was designed using a feed forward neural network with one: hidden layer and the backpropagation learning rule. A PID current controller was also designed to limit the current of the motor driving the load. The simulation result on MatLab as well as the experiment data on a real overhead crane system model controlled by DSP TMS320F28335 of Texas Instrument showed that the swing angle of the load was reduced significantly and comparable with that of sytems using angle sensor.