PID controller optimization method based on improved meta-heuristic algorithm

The invention discloses a PID controller optimization method based on an improved meta-heuristic algorithm, and belongs to the technical field of PID control, and the method specifically comprises the following steps: 1, building a PID control system model based on the improved meta-heuristic algorithm, including an input deviation, a PID controller, an improved artificial rabbit optimization algorithm model, and a controlled object; step 2, improving a meta-heuristic algorithm: (1) improving a hidden parameter H, expanding an optimization range, and avoiding falling into a local optimal solution; and (2) the energy factor A adopts a nonlinear adaptive parameter strategy, and randomly and adaptively adjusts switching between an exploration stage and a development stage. And step 3, applying the improved meta-heuristic algorithm to PID controller parameter optimization. And 4, simulating the PID control system by adopting MATLAB (Matrix Laboratory). According to the PID controller optimization method based on