Study Of PID Optimization Based On Chaos For Mine Hoisting DTC System

Mine hoist is one of the pivotal mechanical and electrical equipments. It is widely used in the coal, metallurgical and other mining industry, and takes on all transporting tasks, such as, upgrading mineral, material, device and workers. The technical level and reliability of mine hoist system is directly related to the normal production of mine and safety of miners, while the speeding performance of mine hoist is an important indicator of the overall performance.In order to improve the control performance and reliability of mine hoist system, the PID optimization algorithm, based on chaos for the mine hoist direct torque control (DTC) system, is studied in the thesis. Direct torque control is a new AC speed method, with novel control thought, simple control structure and excellent dynamic and static performance. And it is widely used in AC motor control system. However, the transition of speed is not smooth, so there is still leeway for improvement. The chaos optimization algorithm is applied to optimize the speed PID regulator of direct torque control system, which makes the control effect be better.The Logistic mapping process of the system from sequence state to chaos and the PID optimization algorithm based on chaos is discussed deeply. The ergodicity and random characteristics of Chaos can effectively avoid the search process falling into local minimum. The PID optimization algorithm based on chaos is optimized by both rude and precision searching procedures. The control effect of PID optimization based on chaos is verified better than the traditional PID through simulation. The mine hoist DTC system, applying the optimization algorithm, has the less torque ripple, the shorter settling time, the more smooth transition of speed and the stronger anti-interference ability.