Analyzing Energy Efficiency and Parametric Uncertainty in Pneumatic System Control
摘要
Upgrading the overall production quality with high accuracy and adaptability is currently an important trend in robotic system control, which involves inventing and upgrading linear and nonlinear control methods. In this study, we examine a hybrid method that takes use of both throttle and backpressure controls to position the piston rods and operate a pneumatic distributor valve. Using the analytical design of aggregated regulators (ADAR) method of synergetic control theory (STC), this chapter shows how control rules for the spot of a pneumatical cylinder piston can be synthesized. This technique prevents the loss of object information that occurs during linearization and allows nonlinear mathematical models to function. We compared the two methods’ energy efficiency and found that with throttle control the overall airflow was 0.0569 m3/s, while with 0.0337 m3/s backpressure control. In a linear model, applying a P controller triggers a transient oscillatory behavior that is suppressed after around 2–2.5 s. In contrast to a synergistic controller, which can advance the drive stem to a predetermined position smoothly and without overrun, a PID controller causes an 11.5% overshoot in the operation. The mathematical model in question is subjected to an analysis of parametric uncertainty. We identify the critical model parameters that change the actual behavior of the system. It is demonstrated that parametrically indeterminate mathematical models cannot be adequately controlled by conventional control principles.