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Fixing Cart-Pole Swingup with a Hierarchical Controller

Fixing Cart-Pole Swingup with a Hierarchical Controller

Posted on January 4, 2023 By 📢 ℕ𝔸𝕊𝔸™

Within the previous post, we historical an LQR controller to clear up the classic cart-pole pain. There, the circulate command is continuous, and our controller is allowed to output any force. This outcomes in some very soft management.

LQR Maintain a watch on

We are able to space the force over time:

We are able to ogle that our force begins off at 8 N and oscillates down to about -4 N earlier than settling down as the cart-pole system stabilizes. This raises a quiz of – don’t trusty world actuators saturate? What happens if we mannequin that saturation?

LQR with Saturation

The new LQR pain finds the sequence of (N) actions (right here, cart lateral forces) (a^{(1)}, ldots, a^{(N)}) that produces the sequence of states (s^{(1)}, ldots, s^{(N 1)}) that maximizes the discounted reward all over states and actions:

[begin{matrix}underset{boldsymbol{x}}{text{maximize}} & R(s^{(1)}, a^{(1)}) R(s^{(2)}, a^{(2)}) ldots R(s^{(N)}, a^{(N)}) R_text{final}(s^{(N 1)}) \ text{subject to} & s^{(i 1)}=T_s s^{(i)} T_a a^{(i)} qquad text{ for } i=1:N end{matrix}]

Successfully, in actuality we good buy future rewards by some ingredient (gamma in (0,1)) and we don’t effort with the terminal reward (R_textual verbalize{final}):

[begin{matrix}underset{boldsymbol{x}}{text{maximize}} & R(s^{(1)}, a^{(1)}) gamma R(s^{(2)}, a^{(2)}) ldots gamma^{N-1} R(s^{(N)}, a^{(N)}) \ text{subject to} & s^{(i 1)}=T_s s^{(i)} T_a a^{(i)} qquad text{ for } i=1:N end{matrix}]

Or more merely:

[begin{matrix}underset{boldsymbol{x}}{text{maximize}} & sum_{i=1}^N gamma^{i-1} R(s^{(i)}, a^{(i)}) & \ text{subject to} & s^{(i 1)}=T_s s^{(i)} T_a a^{(i)} & text{for } i=1:N end{matrix}]

Our dynamics are linear (as viewed within the constraint) and our reward is quadratic:

[R(s, a)=s^top R_s s a^top R_a a]

It turns out that efficient solutions exist for fixing this pain precisely (Perceive allotment 7.8 of Alg4DM), and the answer does no longer count upon the initial command (s^{(1)}).

With actuator limits comes force saturation. Now, we are able to also lawful mutter the controller that we got without fascinated about saturation, and lawful clamp its output to a feasible differ:

Working the saturating controller (-1

𝚆𝚊𝚝𝚌𝚑 𝙽𝙾𝚆 📺

NASA, Technology Tags:Cart-Pole, Smart, Solving

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