Design of PID controller using cuckoo search algorithm for buck-boost converter of LED driver circuit

The Light Emitting Diode (LED) based lighting technology is the latest technological innovation in the lighting industry, and it is still evolving to make it more reliable, compatible and sustainable solution. The heart of the LED lighting technology is the driver circuit, and the current driver topologies are creating significant power quality issues. This paper presents a new approach to design proportional-integral-derivative (PID) controller that will improve the performance of buck-boost converter of LED driver circuit. The optimal values of the gains of PID controller are obtained by minimizing the performance criterion using cuckoo search (CS) optimization algorithm. The performance of the proposed controller i.e. CSPID for buck-boost converter is evaluated by time response specifications such as maximum peak overshoot, rise time, settling time and steady state error. Furthermore, the results obtained by proposed CSPID controller is compared with the results of PID controller designed by genetic algorithm (GA) and particle swarm optimization (PSO) in terms of evaluation time and settling time, and it is revealed that the proposed controller exhibit better performance as compared to other controllers for the buck-boost converter of LED driver circuit.