Design of multi-parameter model-free adaptive control algorithm for pig house environment

Objective Aiming at the problems of complex scenarios, difficult multi-parameter control and the coupling characteristics of the system in the environmental control of pig house, based on the model-free adaptive control (MFAC) algorithm, a multi-parameter model-free adaptive control (MMFAC) algorithm applicable to pig house was designed.

Method The MMFAC algorithm was designed by integrating the MFAC algorithm with the weight matrix used for scale scaling transformation. The algorithm utilized the compact form dynamic linearization (CFDL) technique and the optimization mathematical method to identify the parameters of the pseudo-jacobian matrix (PJM) and calculate the control volume of the control device.

Result The simulation experiment results showed that the MMFAC algorithm had the ability of adaptive control of multiple parameters, and could reduce the error of key parameters by adjusting the weight matrix. The results of real pig house environment control experiment showed that the algorithm could calculate the fan control quantity according to the real-time environmental parameter measurements, and drive the fan according to this control quantity to keep the environmental parameters in the range of the comfort zone for stable control.

Conclusion The MMFAC algorithm shows good multi-parameter adaptive control ability, can adapt to the complex pig house environment, and effectively solves the problems of difficult multi-parameter control as well as system coupling, which has a good application prospect in pig house environment control.