Control servo pid labview3/3/2024 In this paper, the multi-objective cost function using both the integral time absolute error function and performance index parameters such as rise time, settling time, and peak overshoot is formulated based on the non-dominated solutions of the pareto front obtained using a multi-objective genetic algorithm (MOGA). Integral-based or performance-index- based error minimizing functions found in the literature do not meet all of a dynamic system's performance requirements. Different classical and heuristic approaches are used for optimal PID tuning of servo controllers used in linear motion systems. The PID controller is commonly employed in servo-based linear motion systems to correct positioning inaccuracies caused by thermal expansion of the ball screw assembly and encoder measurement. Linear motion systems with servo drives are employed in high-precision machine tool applications.
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