... quadcopters optimal control many-objective optimization sliding mode control PID controller cascade controllers Abstract This paper presents an optimal cascade control structure for a quadcopter unmanned aerial vehicle (UAV) that uses a blend of linear and nonlinear control...

... space and identifying promising behaviors of truly novel shoe materials and designs. optimal control biomechanics running Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition IMECE2023 October 29-November 2, 2023, New Orleans, Louisiana IMECE2023-114150...

... is introduced to obtain higher resolution in controlling the brake gain and subsequently the vehicle’s deceleration. The authors propose an optimal control strategy based on Pontryagin’s minimum principle for vehicle speed reduction to improve passenger comfort by reducing acceleration during the braking...

... dynamic process. The output of the MPC controller shows a linear agreement with the open-loop test, for all the optimization techniques, with some deviation in the overshoot, rise times and settling times. optimal control nonlinear systems Proceedings of the ASME 2023 International Mechanical...

... is, on average, five times faster than the high-fidelity tools while capturing the key time domain and power spectral density (PSD) trends. Then, an optimal control study using the DFSM is conducted with outcomes showing that the DFSM approach can be used for complex systems like floating offshore wind turbines...

... Abstract In this paper a technique is proposed to find near time-optimal control solution of a two-link manipulator with torque and path constraints. Both links and joints are assumed to be flexible. The proposed approach is based on transforming the optimal control problem into an equivalent...

... Abstract This paper introduces a near-optimal controller for the control of quadrotors. A quadrotor is described as a complex, twelve-state system. The paper simplifies the controller by considering it as two levels, the upper-level (kinematics) six-state controller and the lower-level...

... Abstract Dynamic programming (DP) provides a systematic, closed-loop solution for optimal control problems. However, it suffers from the curse of dimensionality in higher orders. Approximate dynamic programming (ADP) methods can remedy this by finding near-optimal rather than exact optimal...

... describes the position and angles, and the body frame, which describes the linear and angular velocities. The quadcopter has six outputs and four controls, so it is an underactuated nonlinear system. The optimal control for the system is derived by solving a discrete-time recursive Hamilton-Jacobi-Bellman...

... of state and output feedback control laws. The controller is modeled by calculating the optimal control gain by formulating an algorithm to solve the equations involved. The transient and frequency responses of the controlled full model and reduced models are then plotted. The procedure for designing...

... dependency of the optimal control matrix is the result of the dynamics of rotating machines. Most of published works on optimal control use a stationary optimal control matrix derived for the non-rotating system and thus neglecting the effect of gyroscopic phenomena. This paper employs the minimum energy...

... point in root locus, so by this way a PD controller can be designed for this new system. Also, disturbance rejection has been investigated by state space method in this paper. The results of this modified PD controller are compared with full state feedback control and optimal control, so the method used...

... Paraboloidal shell Optimal control Distributed sensing/control Structronic system Paraboloidal shell of revolution is a common shell shape used in aerospace, telecommunication, dome structures and many other engineering applications. A structronic shell system is defined as an elastic...

... Motion Control Contour Control Optimal Control Hierarchical Control Contour control is critical in many motion control systems (e.g., manufacturing, robotics). A contour control algorithm is implemented in many applications to drive the contour error to zero; however, the additional...

... two-pass (bi-directional scan) algorithm minimum-time trajectory optimal control feed-rate optimization The problem of generating an optimal feedrate trajectory has received a significant amount of attention in both the robotics and machining literature. The typical objective...