Ramírez, Hector Miguel

The linear quadratic regulator is a widely used and studied optimal control technique for the control of linear dynamical systems. It consists in minimizing a quadratic cost functional of the states and the control inputs by the means of solving a linear Riccati equation. The effectiveness of the linear quadratic regulator relies on the cost function parameters hence, an appropriate selection of these parameters is of mayor importance in the control design. Port-Hamiltonian system modelling arise from balance equations, interconnection laws and the conservation of energy. These systems encode the physical properties in their structure matrices, energy function and definition of input and output ports. This paper establishes a relation between two classical passivity based control tools for port-Hamiltonian systems, namely control by interconnection and damping injection, with the linear quadratic regulator. These relations allow then to select the weights of the quadratic cost functional on the base of physical considerations. A simple RLC circuit has been used to illustrate the approach.

This paper deals with the finite dimensional modelling and control of an electro-active polymer (EAP) actuated flexible structure. This model reproduces the basic mechanical properties of a class of one dimensional flexible endoscope. The flexible structure and the EAP actuator are both modelled as port-Hamiltonian systems. The EAP actuator is interconnected with the flexible structure in a power preserving manner such that the global system is again a PHS. Using the obtained model, two passivity based control strategies are applied to derive the controllers which achieve a desired equilibrium configuration with desired dynamic behaviour. An experimental benchmark composed of the Ionic Polymer Metal Composites patches glued to a flexible beam is used to validate the proposed model and control law.