Repositorio Institucional de Documentos
Abstract
In the aviation industry, aircraft manufactures are constantly striving to fully understand the essentials required to successfully design an AFCS, based on dynamic response of the aircraft in relation to atmospheric turbulence and structural flexibility. This report is about the analysis of the longitudinal and lateral dynamics stability of an aircraft, based on the data of CHARLIE. Applying Stability Augmentation System (SAS), Attitude and Flight Path Control System. Furthermore, to achieve the control system in a good response it was simulated using Matlab environment. Cortés Concha, Gloria; Zouaoui, Zoubir
Full text
Name: Gloria Cortes Name: Gloria Cortes DEVELOPMENT OF DEVELOPMENT OF AUTOMATIC FLIGHT CONTROL SYSTEM AUTOMATIC FLIGHT CONTROL SYSTEM Course: Avionics Course: Avionics Supervisor: Dr. Zoubir Supervisor: Dr. Zoubir
To develop an autopilot or an AFCS. The Design has been conducte To develop an autopilot or an AFCS. The Design has been conducted in d in the Matlab environment . the Matlab environment . Aim: Aim: Objectives: Objectives: Know concepts about control system designs. Know concepts about control system designs. Develop flight dynamic models for an aircraft perturbation moti Develop flight dynamic models for an aircraft perturbation motion. on. Design state space and transfer function models(longitudinal an Design state space and transfer function models(longitudinal and lateral). d lateral). Research flying quality analysis. Research flying quality analysis. Develop and enhance handling and flying qualities. Develop and enhance handling and flying qualities. Understand and choose which control system design approach is b Understand and choose which control system design approach is better. etter. Be familiar with advance programming techniques using Matlab. Be familiar with advance programming techniques using Matlab.
Autopilot development BACKGROUND
Autopilot development Rudder, Rudder, δ δR R (yaw control) (yaw control) ATTITUDE ATTITUDE CONTROL Elevators, Elevators, δ δE E (pitch control) (pitch control) VOR VOR- -coupled coupled Height hold Heading Heading Ailerons, Ailerons, δ δA A (roll control) (roll control) FLIGHT FLIGHT- -PATH CONTROL PATH CONTROL Glide Glide- -path path coupling coupling DESIGN PROCESS DESIGN PROCESS S.A.S S.A.S
Autopilot development PITCH ATTITUDE PITCH ATTITUDE Longitudinal parameters for State Space model (CHARLIE-1). Damping controlled by feedbacks δ δE ( Kq , K E ( Kq , Kθ θ). ). Analyse the flying quality: criterion and analysis. PITCH CONTROL
Autopilot development PITCH ATTITUDE PITCH ATTITUDE θ γ α
Autopilot development ROLL CONTROL ROLL CONTROL Lateral parameters for State Space model (CHARLIE-1). Choose a control system design : Bank angle control with roll rate inner loop damper. Damping controlled by feedbacks: δ δA A( Kq,Kc ( Kq,Kc1 1,Kc ,Kc2 2, K , KΦ Φ). ). Analyse the flying quality: criterion and analysis.
Autopilot development Bank angle control system Bank angle control system With roll rate inner loop damper With roll rate inner loop damper Φ=bank angle β= sideslip p
Autopilot development YAW CONTROL YAW CONTROL Lateral parameters for State Space model (CHARLIE-1). Choose a control system design : ARI (aileron–to-rudder), to control: -Roll rate. -The sideslip (yawing moment). -Control Crossfeed δ δA + A + δ δR R( Kq, Kc ( Kq, Kc1 1, Kc , Kc2 2, K , Kθ θ). ). Analyse the flying quality: criterion and analysis.