Difference between revisions of "Controllers"
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m (Daniel moved page Controls to Controllers: more descriptive name) |
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*The front motor controller works to minimize the angle between the current steer angle (δ) and the commanded steer angle (δ<sub>c</sub>). | *The front motor controller works to minimize the angle between the current steer angle (δ) and the commanded steer angle (δ<sub>c</sub>). | ||
*Currently (Spring 2018), the front motor controller is PD (Proportional-Derivative) controller. Specifically: | *Currently (Spring 2018), the front motor controller is PD (Proportional-Derivative) controller. Specifically: | ||
− | + | <math>{\rm total\_error} = k_p(\delta_c - \delta) + k_d \frac{d}{dt}\left[\delta_c - \delta\right]</math> | |
*total_error is converted into a direction (DIR) and a magnitude (motor_output). | *total_error is converted into a direction (DIR) and a magnitude (motor_output). | ||
Revision as of 02:26, 9 April 2019
Contents
Intro
- The control algorithms on our bicycle are separated into three cascaded controllers. The output of one controller is input to another controller.
- In order from high level to low level:
- Navigation controller, which tries to follow a desired path
- Balance controller, which tries to achieve a desired lean angle (φd) and desired steer angle (δd). For straight line balance (no navigation), this controller attempts to achieve φd = 0 and δd = 0. In this position, the bicycle is balanced (upright and steered straight ahead).
- Front motor controller, which controls front wheel angle (δ).
- Using cascaded controllers allows us to develop each controller semi-independently.
Front Motor Controller
- The front motor controller works to minimize the angle between the current steer angle (δ) and the commanded steer angle (δc).
- Currently (Spring 2018), the front motor controller is PD (Proportional-Derivative) controller. Specifically:
- total_error is converted into a direction (DIR) and a magnitude (motor_output).
Balance Controller
- The balance controller attempts to achieve a desired lean angle (φd) and steer angle (δd). In navigation mode, the navigation algorithm sets φd and δd.
- In addition to the desired state (φd, δd), the balance controller takes as input current lean angle (φ), lean angle rate (φ), and steer angle (δ). The balance controller outputs a steer angle rate (δ).
- Currently (Spring 2018), the balance controller is the linear controller:
δd' = kd(φ − φd) + k2φ'+ k3(δ − δd)
- In navigation mode, φd ≠ 0 and δd ≠ 0.
- Thus, the balance controller tries to minimize the three terms in above.
- If φ − φd = 0 the current lean angle (φ) equals the desired lean angle (φd).
In other words, the bicycle has achieved the desired lean angle.
- Similarly, if δ − δd = 0, the bicycle has achieved the desired steer angle. Still, the bicycle should not wobble: φ'= 0.
Balance Only
- For balance only, φd=0, δd=0. The balance controller reduces to:
δd' = k1φ + k2φ' + k3δ
- In balance only mode, the balance controller tries to minimize the sum of the three terms above.
- The first term includes lean angle (φ): if φ = 0, the bike should be upright.
- The second term includes lean angle rate (φ'): if φ'= 0, the bike should not wobble.
- The third term includes steer angle (δ): if δ = 0, the bike should be steered straight ahead.
- If all three of these terms equal 0, the bike is balanced.