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基于预报器的综合LQG自校正控制器
Predictor-Based Synthetic LQG Self-Tuning Controller
【摘要】 本文推导了一类多项式LQG自校正控制算法,采用了增量和非增量两种模型形式。全面考虑了权P(z-1),Q(z-1)和滤波多项式T(z-1)的作用,能控制存在有色噪声和前馈干扰的复杂过程。与广义预测控制仿真比较,结果表明这两种控制器均有良好的适应能力和强的鲁棒性。
【Abstract】 A sort of polynomial LQG self-tuning control algorithm is expanded in this paper. Both increment model and non-increment model are adopted. It has considered the function of the weighted P(z-1) ,Q(x-1) and the filter polynomial T(z-1). It can control the complicated plant with the colour noise and feedforward. Compared with the recursive synthetic generalized predictive control(RSGPC), The simulations show that the two kinds of controllers have a good adaptibility and strong robustness. The LQG self-tuning controller needs less adjustivc time than RSGPC, but it needs more calculation time.
- 【文献出处】 控制理论与应用 ,Control Theory & Applications , 编辑部邮箱 ,1991年04期
- 【被引频次】1
- 【下载频次】41