An elevator is system that serves to moves people or good between floors(level) vertically on a buildings. Due to its higher speed and regenerating energy the different type of elevator drive system like hydraulic elevators are replaced by traction elevator. The traction elevators are generally driven by electric motors that consist of to drive like traction cables or counterweight systems. In elevator control system designing by considering the dynamics of all components like the rope stiffness in both car and counterweight side, sheave angular movement and other factor affecting is tedious. So, select a controller like fuzzy logic that works with unmodeled dynamics and compromise the uncertainty and parameter variation on the system. But to get the desired response using fuzzy logic controller needs knowledge of an experts unless changing the membership function width, rule base and input/output gain factor with method of trial and error many times. Tuning the input and output parameter of fuzzy logic controller have better effect than other to get a desired response and this searching by using PSO. In this thesis the system design in cascaded type of control i.e Nonlinear-Fuzzy PID with PSO for the position control loop and PSO-PI for speed and current control loop of PMDC motor as drive. The system analysis by varying the elevator position with loaded and unloaded condition. The simulation results with proposed control give 0% overshoot when it reaches a desired positions i.e the first(4m) and the tenth (40m) floor in both ascending and descending direction with corresponding reference speed of 2m/sec. Comparison is also made between PSO-NFPID, NFPID and NPID controllers for position response in both ascending and descending direction. The proposed controller give just a little faster with the NFPID and NPID controller mechanisms in terms of traveling time to reach a desired position. Keywords: Elevator control,Non -linear Fuzzy PID Controller ,NPID Controller,Particle yayach Swarm Optimization and PMDC motor