Error calibration of pitching mechanism motion based on improved ant colony algorithm

A method for calibrating the motion error of the pitching mechanism based on an improved ant colony algorithm is proposed in this article. First, the error model for the pitching mechanism is built based on the three main error sources that affect the accuracy of the pitching mechanism, and the influence of these three error sources on the pitch motion accuracy is analyzed using the control variable method. Second, a mathematical model for the calibration of the pitch mechanism motion error is established, which transforms the error calibration problem into an optimization problem with multiple objective functions, and the error is then analyzed using an improved ant colony algorithm model. Compared with traditional numerical methods and ant colony optimization, it is proven that the algorithm has strong global optimization ability and can effectively avoid the impact of the initial value error source on the calculation results, and the accuracy can reach a level of 10−5 mm. Finally, the simulation results show that the proposed method is efficient and practical.