TRADING COMPUTATION FOR BANDWIDTH: STATE ESTIMATORS FOR REDUCED COMMUNICATION IN DISTRIBUTED CONTROL SYSTEMS

Abstract

This paper describes a new framework for distributed control systems in which estimators are used at each node to estimate the values of the states at the other nodes. The estimated values are then used to compute the control algorithms at each node. When the estimated value deviates from the true value by more than a prespecified tolerance, the actual value of the state is broadcast to the rest of the system; all of the estimators are then updated to the current value. By computing the estimated values at every node, significant savings in the required bandwidth is achieved, allowing large-scale distributed control systems to be implemented effectively. The stability, performance, and expected communication frequency of the reduced communication system are analyzed in detail. Simulation results validating the effectiveness and communication savings of the framework are also presented. NOMENCLATURE n n The number of nodes, n n 2 R . P An actual MIMO plant (n n #n n transfer matrix)....