Application research of single neuron controller in the main stripping process control of zinc stripping machine

The executive mechanism of the main stripping unit of the domestic zinc stripping machine belongs to an asymmetric hydraulic cylinder, which is controlled by a proportional valve.Due to the different areas on both sides of the asymmetric hydraulic cylinder piston, when the hydraulic control system changes the direction of action, it is often prone to certain instability, such as sudden hydraulic pressure jump or system vibration, and the bidirectional action has a certain degree of dynamic asymmetry.These issues have a negative impact on the dynamic performance of the main stripping unit control system of the zinc stripping machine, causing instability in the stripping process.Single neuron is the basic unit that constitutes a neural network, which has the self-learning and adaptive capabilities of neural networks.Its structure is simple, easy to calculate, and has strong anti-interference ability.Therefore, when applied to the control system of the main stripping unit of a zinc stripping machine, it can overcome the influence of asymmetric hydraulic cylinders and improve the dynamic performance of the main stripping unit of the zinc stripping machine.