GA tuned LQR and PID controller for aircraft pitch control

V. Chugh, J. Ohri
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引用次数: 38

Abstract

In this paper linear quadratic Regulator (LQR) and Proportional integral derivative (PID) controllers are designed for pitch control system of an aircraft. Genetic Algorithm (GA) is used for tuning the parameter LQR and PID controllers. The controller design begins with the appropriate mathematical model to account the longitudinal motion of an aircraft. Simulation is done within the MATLAB and results for the pitch angle response of an aircraft are represented in step's response. LQR and PID controllers are associated with their parameters which can either be tuned manually or by optimized methods like genetic algorithms to get better control and enhancement in the performance. GA is the powerful tool in the field of global optimization to various problems. Here genetic algorithm is successfully applied for Pitch control of an aircraft using MATLAB simulation for tuning of LQR and PID controllers and thus optimized parameters values for the LQR and PID controllers are derived.
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遗传算法调谐LQR和PID控制器用于飞机俯仰控制
针对某型飞机的俯仰控制系统,设计了线性二次型调节器(LQR)和比例积分导数(PID)控制器。采用遗传算法(GA)对LQR和PID控制器的参数进行整定。控制器的设计从适当的数学模型开始,以考虑飞机的纵向运动。在MATLAB中进行了仿真,结果表明飞机俯仰角响应用阶跃响应表示。LQR和PID控制器与其参数相关联,这些参数可以手动调整或通过遗传算法等优化方法进行调整,以获得更好的控制和性能增强。遗传算法是对各种问题进行全局优化的有力工具。本文将遗传算法应用于某型飞机的俯仰控制,通过MATLAB仿真对LQR控制器和PID控制器进行整定,推导出LQR控制器和PID控制器的最优参数值。
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