Nonlinear sliding sector design for multi-input systems with application to helicopter control

Ozcan S., Salamci M. U. , Nalbantoglu V.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, cilt.30, ss.2248-2291, 2020 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 30
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1002/rnc.4877
  • Sayfa Sayıları: ss.2248-2291


The ability of helicopters to hover and land vertically has spurred an interesting field of research on the development of autonomous flight for these rotatory wing aircrafts. Linear control theory with gain scheduling, which is based on linearizing the system at the equilibrium points, dominated the helicopter autopilot design. Unlike the linear cascaded autopilot structure used in the existing literature, this paper uses state-dependent linear like structure, including rate-limited actuator dynamics, with cascaded autopilot topology. This approach allows nonlinear control laws to be implemented throughout the entire flight envelope, providing satisfactory robustness and stability over the various parameter uncertainties and time delays. The cascaded autopilot topology with nonlinear dynamical equations contains a new sliding sector control (SSC) mechanism which is derived for multi-input nonlinear dynamical systems. The proposed SSC structure for multi-input nonlinear systems is used in the inner loop of the cascaded autopilot system where the fastest dynamics are required to be controlled for rapid changes in the helicopter dynamical characteristics which enables one to stabilize the helicopter over a wide range of flight conditions. The proposed cascaded autopilot topology with the new SSC mechanism is tested in simulations to assess its robustness and stability properties. To establish its feasibility, the proposed control method is replaced with a suboptimal control method, namely state-dependent differential Riccati equation (SDDRE) method, for the inner loop and the results of the proposed control architecture are compared with those of SDDRE method.